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An In-Depth Assessment of Analytical Methods for Olive Oil Purity, Safety and Quality Characterization Noelia Tena, Selina C Wang, Ramon Aparicio-Ruiz, Diego Luis Garcia-Gonzalez, and Ramon Aparicio J. Agric. Food Chem., Just Accepted Manuscript • Publication Date (Web): 20 Apr 2015 Downloaded from http://pubs.acs.org on April 26, 2015
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Journal of Agricultural and Food Chemistry
An In-Depth Assessment of Analytical Methods for Olive Oil Purity, Safety and Quality Characterization
Tena Noelia1, Wang Selina C2, Aparicio-Ruiz Ramón1, García-González Diego L.1, Aparicio Ramón1.
1
Instituto de la Grasa (CSIC), University Pablo de Olavide - Building 46, Ctra. de Utrera, km. 1 E– 41013, Sevilla, Spain.
2
Olive Center, University of California - Davis, Davis, California 95616, United States.
*Corresponding author: Tel: +34 954611550
Fax: +34 954616790
E-mail:
[email protected] 1
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ABSTRACT
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This paper evaluates the performance of the current analytical methods (standard and
3
widely used otherwise) that are used in olive oil for determining fatty acids, triacylglycerols,
4
mono and di acylglycerols, waxes, sterols, alkyl esters, erytrodiol and uvaol, tocopherols,
5
pigments, volatiles and phenols. Other indexes that are commonly used, such as free acidity
6
and peroxide value, are also discussed in relation to their actual utility assessing quality and
7
safety and their possible alternatives. The methods have been grouped based on their
8
applications: (i) purity and authenticity; (ii) sensory quality control; and (iii) unifying methods
9
for different applications. The speed of the analysis, advantages and disadvantages, and
10
multiple quality parameters are assessed. Sample pre-treatment, physicochemical and data
11
analysis, and evaluation of the results have been taken into consideration. Solutions based on
12
new chromatographic methods or spectroscopic analysis and their analytical characteristics
13
are also presented.
14 15
Keywords: Olive oil, quality, authentication, analytical methods, trade standards
16 17 18 19 20 21 22 23 24 25
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Introduction
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Virgin olive oil, the most valuable olive oil category, is highly appreciated around the
28
world for its healthy properties, principally due to the presence of monounsaturated fatty acid
29
(oleic acid 18:1 ω-9) and antioxidant compounds (phenols, tocopherols, and chlorophyll
30
pigments). Its high price is also explained by its genuine organoleptic properties, which make
31
it an excellent ingredient in many recipes. Olive oils, including those that are lower grade than
32
virgin olive oil are generally more expensive than the most commonly consumed vegetable
33
oils, thus the difference in price makes it a very attractive product for fraudsters. The possible
34
adulterations can be classified into two types; (i) mixture of different categories of olive oil
35
and (ii) mixture with other vegetable oils. In order to detect these adulterations and to
36
guarantee the quality and safety of olive oil, this product has been at the forefront of the
37
implementation of multiple standard methods. Thus, olive oil has become one of the most
38
strictly regulated food products.
39
The components of olive oil are numerous and they are usually clustered into major
40
and minor compounds. Due to the high number of chemical compounds, which results in a
41
highly complex matrix, the number of analytical methods used to characterize them is also
42
large. Table 1 shows the chemical composition of three virgin olive oils - from three cultivars
43
and producer countries – characterized by only a few chemical compounds of those ones
44
commonly used in traceability
45
Currently the regulatory bodies and associations for olive oil present an extensive
46
collection of analytical methods to characterise olive oils and olive-pomace oils and to avoid
47
possible frauds. These organizations are, among others, International Olive Council (IOC),
48
European Commission (EC), Codex Alimentarius Commission, (CODEX STAN), German
49
Society for Fat Science (DGF), Association of Official Analytical Chemistry (AOAC),
50
American Oils Chemists' Society (AOCS), International Union of Pure and Applied
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Chemistry (IUPAC), Federation of Oil Seeds and Fats Association (FOSFA). Olive oil is
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subjected to worldwide trade, and international regulation is provided by EC1, IOC2 and the
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CODEX STAN.3 EC regulations are enforced in EU countries, while the member countries of
54
IOC and Codex standards sign voluntary agreements that include the limits established for
55
each quality and purity criteria including precision values. The limits adopted for each
56
analytical parameter can sometimes vary from the EU regulations to IOC trade standards,
57
consequently harmonization is always in progress to minimize hurdles to international trade.4
58
The IOC trade standards are updated once a year, while EU often needs more time to publish
59
regulations. For this reason IOC is usually more proactive in including methods and also it
60
can standardize and validate methods to determine parameters that have no associated
61
detection limits (e.g., phenols). Thus, IOC has approved, or has under revision, 18 standard
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methods to characterise olive oil and pomace olive oil,2 16 of them being based on liquid or
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gas chromatographic techniques. These methods are, however, time consuming, they need a
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considerable amount of solvents, and an expert analyst is often required for their
65
implementation. Although the standard methods are developed for specific purposes,
66
advances in technology and knowledge have led to the approval of new methods that
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sometimes overlap existing ones. This is the case for the determination of waxes content by
68
capillary gas chromatography,5 which overlapped with the method approved in 2010 to
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determine the content of waxes, fatty acid methyl esters and fatty acid ethyl esters by capillary
70
gas chromatography.6 This wide range of possible standard methods is sometimes perceived
71
as a disadvantage by newcomers to the olive oil sector instead of an advantage when selecting
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a method for their own needs. As there are several standard methods to solve the same
73
problem (i.e., to detect the same adulterant or to identify and quantify the same chemical
74
compounds), the analysts often have difficulties establishing which standard method is the
75
most suitable for their purposes. The extensive collection of standard methods is partially due
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to the fact that the regulatory bodies add the new methods to the list of the standard methods
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keeping the previous ones. This additive—instead of substitutive—policy seems to imply that
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not all the standard methods satisfy completely the requested expectations. Consequently, a
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considerable investment in optimizing current methods and developing new ones is important
80
in order to keep pace with changing technologies and sophisticated adulterations. These new
81
methods should be easy to implement, robust, have an adequate precision, be amenable to
82
being validated, and be capable of detecting any fraud and malpractices in olive oil
83
production.
84
In addition to the difficulties of analysts in choosing the most adequate standard
85
method, they may have problems in applying the methods due to lack of experience. For
86
example, they may have problems in the identification of the chemical compounds, due to
87
possible shifts in the retention time, small changes in column composition, temperature
88
program or low resolution of peaks. Thus, in the particular case of analysts that work with
89
olive oil for the first time, they often need to discuss their results with other analysts, expert in
90
the field, to identify any problem and to confirm that they are working properly.
91
Not only is the expertise of the analyst a critical issue. There are also other factors
92
such as the quality of equipment, reagents, environment (e.g., temperature, humidity, air
93
pollution), among others that can make the results difficult to reproduce. Validated analytical
94
methods are thus essential for the quality performance of analytical laboratories. Today,
95
analysts must be aware of the important role of quality assurance of their laboratories. The
96
results of the laboratories are directly related to the use of validated and accredited methods.
97
Regarding laboratory accreditation, the complexity of the standard methods is again a
98
problem. A better justification for the existing methods through a detailed description of their
99
application and the avoidance of any overlap between them is desirable to facilitate the
100
accreditation of laboratories.
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Understanding all the drawbacks associated with the considerable complexity of
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standard methods, the olive oil sector is demanding the development of a rapid and universal
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method that can be used for all the determinations required to confirm olive oil authenticity
104
and/or quality. Despite the difficulties implementing the current standard methods, certain
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improvements have being achieved. For example, the compilation of information about the
106
validation of the standard methods7 has allowed a better monitoring of the reproducibility and
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robustness of the methods. Additionally, the optimization of some standard methods has been
108
carried out by improving columns, using different solvents, changing chromatographic
109
conditions and reducing the pretreatment of samples.
110
The improvement of the standard methods requires time, and the alternative to the
111
current situation could be the design of a global procedure that allowed the detection of
112
different adulterations. Thus the strategy of some current research studies is to combine
113
standard methods and emerging technologies—including fingerprinting approaches—into a
114
single comprehensive analytical strategy. The analytical techniques that have been suggested
115
to achieve this aim are spectroscopic techniques—near-infrared (NIR) spectroscopy,8 Fourier
116
transform mid-infrared spectroscopy (FTIR),9 FT-Raman spectroscopy,10 fluorescence
117
spectroscopy11
118
techniques—isotope ratio mass spectrometry12 —and “omic” techniques.14 In these areas, the
119
fraudsters do not have much information on how to avoid being detected in, but analysts may
120
have problems in interpreting the information with plausible chemical explanations. These
121
techniques can be helpful if they are combined with multivariate statistical techniques. Even
122
then, the conclusions obtained from the analysis ideally should be supported by chemical or
123
biochemical explanations. These new techniques, which provide a wide range of information
124
about different chemical compounds in only one analysis, need to be validated with blind
125
samples prior to being proposed as standards.
nuclear
magnetic
resonance
(NMR)
spectroscopy13—spectrometric
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In this paper the standard methods have been analysed from a point of view of the
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analysts and the potential problems that they may have when applying them. The practical
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aspects and the possible alternatives (non standard methods) for each determination have been
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discussed as well. A critical review about the chemical compounds analysed by these methods
130
and the concentration range of these compounds in olive oil is presented, together with the
131
utility of these determinations in the characterization and authentication of olive oil.
132 133
Methods for the control of olive oil purity and authenticity
134
The chemical compounds used for determining olive oil authenticity are numerous and
135
in order to explain their analytical methods, the compounds have been clustered into the sets
136
of major and minor compounds. The group of major compounds is primarily made up of
137
triacylglycerols (TAGs) or glycerol esters of fatty acids (FAs); fatty acids account for 94-95%
138
of the total weight of TAGs. Table 2 shows some examples of application of these major and
139
minor compounds in detecting adulterations.
140
The broad and heterogeneous set of minor compounds includes several series of
141
chemical compounds with a lipid structure (e.g., waxes), compounds that are not related to
142
lipids from a chemical-structure viewpoint (e.g., pigments, volatiles), and compounds that
143
have the common characteristic of being obtained from unsaponifiable matter. The
144
compounds that are present in unsaponifiable matter, which rarely represent more than 2% by
145
weight of total olive oil, are regarded as the olive oil fingerprint. Thus, this fingerprint is very
146
useful in authentication and geographical identification of olive oil, among other applications.
147 148
Olive oil major compounds
149
Fatty acid methyl esters and trans fatty acids
150
Fatty acids (FAs) are the main components of olive oil. They are not present, however,
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as free fatty acids; when they are, they occur only in small amounts. Fatty acids are usually
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forming part of glycerides (mono-, di- and tri-acylglycerols) and phospholipids through ester
153
bonds. FAs present in olive oil are linear chain of 16–24 carbon atoms. FAs, which were
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some of the very early compounds to be analysed by gas chromatography (GC), were of
155
maximum importance in the detection of adulterants until the end of the 60s. At that time seed
156
oils with a modified fatty acid composition similar to olive oil appeared. The analytical
157
performances, however, were improved and made the method suitable to determine trans-
158
isomers of fatty acids because trans isomers of fatty acids (TFAs) appears as a result of
159
certain manipulations, for instance isomerization reactions that occur during the heating
160
processes of olive oil.15 The interest in determining the trans isomers of fatty acids is
161
explained by the fact that their determination allows the detection of refining oils in virgin
162
olive oil. Furthermore, GC analysis of fatty acids is also carried out as a tool for the
163
calculation of the theoretical composition of TAGs with the final objective of determining the
164
value of the theoretical ECN42 (Equivalent Carbon Number),16 and for the detection of the
165
presence of hazelnut oil by means of the Global Method.17
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The first step of FA analysis is derivatization by forming methyl esters (FAMEs),
167
since they are more volatile and nonpolar than free fatty acids, and this makes them easier to
168
elute through chromatographic columns. Among the methods for preparing FAMEs18 the
169
trans-esterification with methanolic solution of potassium hydroxide at room temperature19,20
170
is the most commonly used. However, another method is suggested for method for VOOs
171
with acidity higher than 3.3% and crude olive pomace, which is based on the esterification
172
and trans-esterification with sodium methylate in methanol in acid conditions at high
173
temperature.18 Perhaps the first method can be also suggested for the determination of trans-
174
fatty acid and the determination of ECN42 if samples are always firstly purified through a
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silica gel solid-phase extraction cartridge, and the sample spiked with hexane—olive oil:
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hexane (1:4); e.g. 0.15 g of olive oil in 0.6 mL of hexane—is pulled down with hexane/diethyl
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ether (87:13) as in other standards.18
178
GC analysis can be undertaken with chromatographic columns with diverse
179
characteristics. For instance, phases with the highest polarity allow excellent separations of
180
polyunsaturated FAs. Phases with lower polarity are used for the separation of saturated and
181
monoenoic compounds with the same chain length although it may produce peaks that
182
interfere in the determination of trans isomers of linolenic acid. An HP-88 capillary column –
183
coated with 88% cyanopropyl aryl siloxane (100 m × 0.2 mm i.d. × 0.2 µm film thickness) –
184
or a Varian Chrompack CP-Sil 88 column – coated with cyanopropyl polysiloxane (100 m ×
185
0.25 mm i.d. × 0.2 µm film thickness) – can provide an accurate quantification of TFA
186
isomers previously derivatized as methylesters. These columns are too long for FAs and can
187
be substituted by others of 50 m × 0.20-0,32 mm i.d. 0.1× 0.2 µm film thickness with a cross-
188
linked stationary phase of cyanopropylsiloxane allowing also the trans-fatty acids
189
determination (Table 3A). However, columns shorter than 50 m allow determining FAs but
190
with loss of trans-fatty acids.
191
The stationary phase polymerizes in aged columns, and the variation of retention times
192
for the esters of FAs is observed. Better peak resolution is obtained if the carrier gas is
193
hydrogen instead of helium. Furthermore, no silver ion pre-fractionation of TFA (by TLC,
194
SPE, or HPLC) is required prior to the GC analysis.21
195
The use of WCOT columns of fused silica introduced remarkable improvements in
196
separations with higher resolution, higher precision in analysis both in quality and quantity,
197
higher sensitivity, a shorter analysis time, reduction in the preparation of analysis procedures,
198
etc. Most phases are now chemically bonded to tube walls, which decrease loss in the column
199
and, in turn, increase duration and temperature resistance and improve the resolution.
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The determination of trans fatty acids can present a problem of overestimation. Small
201
quantities of trans oleic acid could be formed when the sample is introduced into the gas
202
chromatographic injector. This problem is more pronounced when automatic samplers with
203
packing materials are used. To minimize this problem it is necessary to replace the injector
204
insert by a clean insert, deactivate the insert, use lower injector temperature from 250 ºC to
205
30-50 ºC or remove the packing materials if the injection is manual.
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Alternative methods based on spectroscopic techniques have been developed to
207
analyze FAs and trans-fatty acids although they cannot determine individual FAs and TFAs
208
as GC method does. Thus, 1H-NMR methodology shows a good performance for FAs
209
quantification despite the fact that results for individual saturated compounds often deviate
210
from GC results because of the sensitivity of 1H-NMR (400 MHz) integration; total amounts
211
of saturates are, however, accurately determined.22 Quantification of the sum of saturated fatty
212
acids (SFAs), the monounsaturated oleic acid (MUFA), and the polyunsaturated linoleic and
213
linolenic acids (PUFAs) can be obtained by means of mathematical equations using
214
appropriate signal intensities as variables.22 Additionally linolenic acid can be quantified from
215
the signal of the methyl protons of the linolenyl chain at δ 0.96.
216
TFAs can also be determined by IR spectroscopy, which is a rapid tool for detecting
217
isomers.23 The intensities of Raman spectroscopy bands near 1656 cm-1 and 1670 cm-1 have
218
also been related to the content of cis and trans isomers.24
219 220
Triacyglycerols
221
Triacylglycerols (TAG) consist of a glycerol moiety with each hydroxyl group
222
esterified to a fatty acid. Each individual TAG species has three characteristics: (i) the total
223
carbon number (CN), which is the sum of the alkyl chain lengths of each one of the 3 FAs; (ii)
224
the degree of unsaturation in each FA; and (iii) the position and configuration of the double
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bonds in each FA.25 Twenty TAGs have been identified and independently quantified in olive
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oil, but only five are present in significant proportions.18
227
One of the main aims of TAG analysis is identifying TAGs that are biosynthesized and
228
those that are synthesized by means of FFAs esterification with glycerol. The analytical
229
approach is based on the use of pancreatic lipase, an enzyme that has the ability to hydrolyze
230
the 1- and 3-position of natural TAGs, thereby producing 2-monoacylglycerols. The initial
231
determination of palmitic and stearic acids at the 2-position has been currently substituted by
232
determination of the content of 2-glyceryl monopalmitate.26,27
233
Thus, the possible combinations of FA molecules and their positions on the glycerol
234
backbone of TAGs makes the analysis of the TAG composition a very challenging task either
235
with GLC (gas-liquid chromatography) or RP-HPLC (reversed phase liquid chromatography).
236
Table 3A summarizes the RP-HPLC conditions (column dimension, stationary and mobile
237
phases, kind of detector, and flow-rate) and GLC conditions (columns, detectors and
238
chromatographic conditions) used for the determination of olive oil TAG profiles.
239
TAGs separation is based on the number of carbon atoms and their unsaturation when
240
RP-HPLC is used because of the good resolution of RP-18 column. In the case of the
241
presence of oxidized compounds, which interfere in the trilinolein (LLL) determination,
242
samples should be purified by means of silica gel. Thus, in the case of olive-pomace oil, the
243
European Commission recommends to use the SEP PAK silica cartridge (Waters).28 The IOC
244
recommends making the purification by SPE according to IUPAC 2.507.29
245
This procedure, however, implies checking FA compositions in the oil after its
246
purification in a long and tedious process during which mistakes can occur. This test is
247
recommended by the European Commission in the case of the olive pomace oil and the IOC
248
recommends this test in the determination of the 2-glyceryl monopalmitate.26
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The purified oil is resolved in acetone, but sometimes the impurities of acetone can
250
produce disturbances in the baseline of the chromatogram (region 12-15 min); if this happens
251
a good solution is using another source of acetone or a mixture of propionitrile/acetone (25/75
252
v/v).
253
The RP-18 column resolution depends on the particle diameter. Experience shows that
254
columns with 3 µm have no loss of resolution while saving time and solvents. Another
255
empirical aspect concerns samples of raw olive-pomace oils, which should be resolved in
256
acetone and then filtered, with 0.2 µm pore size, to remove precipitates that would shorten the
257
column life.
258
Regarding to the mobile phase, critical peaks are effectively separated with
259
acetone/acetonitrile in isocratic elution, although with this phase, saturated long-chain TAGs
260
are not resolved enough. As a consequence, some researchers30,31 carried out experiments on
261
isocratic elution with propionitrile as previously investigated.32 Although propionitrile (HPLC
262
grade) is expensive and highly toxic, it reduces dramatically the baseline drift when compared
263
with the methods based on an acetone/acetonitrile mixture. The result is a better separation of
264
TAGs clustered as ECN42, and it is used for the detection of the admixture of hazelnut oil to
265
olive oil.33
266
The refractive index (RI) is the most appropriate detector, despite its drawbacks of low
267
sensitivity and of different response towards saturated and highly unsaturated TAGs and the
268
numerous external variables that affect baseline stability.34 Concerning other detectors, UV
269
detector, which has not been very widely used because it presents problems with
270
isomerization and conjugation of double bonds, has good sensitivity and allows the use of
271
elution gradients that improve the resolution.
272
The alternative of using GLC (Table 3A) is scarcely applied today despite the fact that
273
it also offers attractive possibilities as an efficient separation method, good quantitative
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recovery and reproducibility, an adequate time for analysis and the availability of a flame
275
ionization detector (FID), a simple but universal linear response detector. But the GLC
276
technique is not free of problems such as, for example, the injection system and the column
277
deterioration. Selectivity in GLC depends on the length and chemical nature of the column
278
stationary phase. For example, columns with phenyl-methyl-silicone phase are capable of
279
reaching temperatures of about 360-370 ºC for a long time, and of separating TAGs by carbon
280
atom number; unsaturated positional isomers cannot be separated by this phase unless sample
281
derivatization followed by a reduction had previously been done.18
282
Another alternative is the analysis by HPLC-MS because MS can identify partially
283
resolved HPLC peaks35 so giving much more information on the position of the three fatty
284
acid molecules at TAGs. Although few ionization techniques can be coupled to HPLC, the
285
identification of positional isomers36 can be carried out by APCI (atmospheric pressure
286
chemical ionization) coupled to HPLC while the identification of individual acyls can be done
287
without electrospray ionization (ESI) without reference materials. A rapid and simple sample
288
preparation – no analyte purification, chemical modification or derivatization is required37 –
289
has increased the interest in applying MALDI-TOF-MS (matrix-assisted laser desorption
290
ionization time-of-flight mass spectrometry); LDI-TOF-MS being proposed for detecting the
291
presence of sunflower oils in olive oil.38
292 293
Olive oil minor compounds
294
As already mentioned, the set of minor components, which are used for the
295
determination of purity and authenticity of olive oil designations, consists of compounds that
296
derive from TAGs and other liposoluble compounds, and the compounds that derive from the
297
unsaponifiable matter.
298
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Diacylglycerols and Monoacylglycerols
300
Diacylglycerols (DAG), which are present in a range of 1% to 3% in olive oils, are
301
found as 1,2- and 1,3-isomers; 1,2-isomers being attributed to the incomplete biosynthesis of
302
TAGs (Kennedy pathway) whereas 1,3-isomers are attributed to enzymatic or chemical
303
hydrolysis of TAGs.
304
The official method39 allows the determination of DAGs and TAGs together. TAGs
305
are clustered on the basis of their carbon atom number while in the case of DAGs the peaks
306
are resolved according to their carbon atom number and their structure, the 1,2 isomers having
307
lower retention time than 1,3 isomers. The method does not require particular experience of
308
the analyst. Thus, 1 mL of the internal standard (dinonadecanoine 0.1% w/v in methyl-
309
tertbutyl-ether) is added to a sample of 100 mg. Later, a dried aliquot of 20-30 µL is silylated
310
with 200 µL of the silylation reagent, consisting of a 9:3:1 (V/V/V) mixture of anhidre
311
pyridine/hexamethyl disilazane/trimethylchlorosilane. After a complete silylation, 2 mL of n-
312
heptane is added and 0.5-1.0 µL is injected into a GC instrument equipped with a capillary
313
column of 3-7 m length × 0.25–0.32 mm i.d. (coated with SE52 or SE54 stationary phase).
314
Experience has taught that it is advisable to purify the sample by column chromatography or
315
SPE prior to adding the internal standard that could also be 1,3-dipalmitoyl rac-glycerol. The
316
silylation process can be critical. The solution of silylation reagent should be freshly made. It
317
is not easy to detect the final of the reaction; it would take about 20 minutes. If a slight
318
opalescence is observed after the silylation, it does not mean any anomaly. However the
319
formation of a white floc or the appearance of a pink color is indicative of the presence of
320
moisture. A rapid warming applied to the bottom of the conical flask to the GC detector can
321
eliminate the moisture. If after that the floc is not eliminated, the silylation reagent is
322
deteriorated and the test must be repeated.
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The method for the determination of the percentage of 2-glyceryl monopalmitate
324
(Table 3A) has some drawbacks such as the fact that it is a lengthy and tedious method (e.g.,
325
when sample acidity is > 3%, it has to be previously neutralized). The neutralization of the oil
326
is necessary because the activity of the pancreatic lipase depends on the pH, which should be
327
adjusted to 8.3. Furthermore, the separation between phases after lipase pancreatic digestion
328
is not automatic; it should be taken into account that lipase pancreatic is not stable and may
329
lose activity easily. The thick interface between phases (diethyl ether and aqueous phase),
330
after the centrifugation step, makes it difficult to collect an aliquot of the organic phase for
331
preparing the silanized derivatives. Moreover, on-column injection shows well-known
332
problems such as a large broad solvent front, low repeatability and tailing peaks.
333 334
Waxes
335
The waxes, which usually referred to wax esters because they are fatty acids esterified
336
to long-chain alcohols,20 contain even numbers of carbon atoms from C36 to C46 in olive oil.
337
Since waxes are in the epidermal cells of olives40, their concentration characterizes olive oil
338
pomace categories.
339
The official method for determining waxes5 uses lauryl arachidate in hexane as
340
internal standard and on-column GC injection. The standard method also suggests using
341
palmityl palmitate or myristyl stearate as internal standards. Aragón et al. 201141 propose to
342
use these internal standards in heptane to avoid the impurities that can be present in some
343
commercial hexane and to increase the time of its evaporation. Concerning sample
344
purification, SPE cartridges have replaced silica gel columns because the former requires
345
smaller amounts of sample that reduces the elution solvent volume. SPE cartridges, however,
346
need of much more attention from the analyst. Based on this change, new methods have been
347
proposed as alternatives to the standard method.42 They are more rapid with lower
348
consumption of organic solvents, and no difference concerning the recovery factors. 15
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349
However, there is not much information about the precision and limits of quantification yet.
350
With respect to the chromatographic column, the standard method suggests using semipolar
351
columns with phenyl-methyl-silicone because this allows for a high resolution while resistant
352
at high temperatures. Columns, however, should be conditioned, prior to being used, with a
353
gradual heat until a temperature of 350 ºC is reached. It is important to note that in the last
354
standard method43 the sum of the contents of waxes is computed from C42 to C46, excluding
355
C40, unlike previous norms.5,6
356 357
Unsaponifiable Fraction
358
As mentioned earlier, the unsaponifiable matter fails to react with sodium hydroxide
359
and potassium hydroxide to produce soaps but remain soluble in classic solvents (e.g.,
360
hexane, petroleum ether, diethyl ether) after saponification. Thus, any method for determining
361
unsaponifiable matter involves olive oil saponification and unsaponifiable matter separation
362
by means of extraction with an appropriate solvent, such as diethyl or petroleum ether.
363
Although the determination of unsaponifiable matter seems simple, this type of analysis still
364
presents problems because of the lack of accuracy and precision in the results. Some
365
difficulties are the impossibility of extracting all of the unsaponifiable matter and the
366
formation of emulsions due to a too vigorous shaking. These emulsions can be destroyed
367
adding small quantities of ethanol. Other problems are soap hydrolysis, loss of unsaponifiable
368
matter during solvent drying, evaporation and incomplete saponification.
369
Although diethyl ether is the preferred solvent, it has a number of limitations. For
370
example, if soaps pass into the solvent together with the unsaponifiable matter, it is wise to
371
separate the soaps by washing the ether extract with an aqueous solution of sodium
372
hydroxide, which can provoke soap hydrolysis and liberate acids. After solvent evaporation at
373
a low temperature and reduced pressure, it is necessary to dry the unsaponifiable residue in
16
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374
order to ensure the elimination of any traces of solvent and water. A drying process should be
375
carried out to avoid possible volatile compounds to be present in the unsaponifiable fraction.
376
Water elimination is usually performed by treating the unsaponifiable extract with water-free
377
sodium sulfate followed by filtration. Finally, any remaining moisture traces are eliminated by
378
vacuum drying with acetone or benzene. Sometimes incomplete saponification may occur44,
379
in which case, error can be introduced due to the saponifiable portion of TAGs soluble in
380
ether and hexane. When incomplete saponification is thought to have happened the
381
unsaponifiable residue containing the nonsaponified segment has to be saponified and
382
extracted again following the same procedure.
383
Fractionation of the unsaponifiable components into several groups of constituents
384
(e.g., hydrocarbons, tocopherols, and sterols) can be carried out by several procedures, most
385
of them being chromatographic such as column chromatography and thin-layer
386
chromatography (TLC) with two different supports, alumina and silica gel (Table 3B). The
387
latter, which has traditionally been the chosen method for the complete fractionation of the
388
unsaponifiable matter, can be applied to unsaponifiables extracted from petroleum ether and
389
containing FFAs. In this case, firstly the silica gel must be treated with diluted potassium
390
hydroxide to retain the FFAs and avoid interference with the other fractions. In the separation
391
by thin-layer chromatography, the temperature is an important factor to have a good
392
separation; the optimum temperature is 20-25 ºC.
393 394
Currently HPLC has been described to carry out the fractionation of the unsaponifiable components, as described in the section focused on sterols.
395 396
Hydrocarbons
397
The hydrocarbons, which are present in olive oils, include from high amounts of
398
squalene (C30H50), an unsaturated linear triterpenic polymer of isoprene, to small quantities of
17
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399
saturated, linear (from C-15 to C-35), branching and terpenic compounds. Steroidal
400
hydrocarbons (sterenes or steradienes) with two double bonds in the ring system are present in
401
refined olive oils (ROOs), while small quantities of polycyclic aromatic hydrocarbons (PAHs)
402
have been quantified in olive-pomace oils.
403
The need of detecting the presence of refined edible oils in virgin olive oils (VOOs)
404
resulted in a standard,45 Lanzón (1990)46 being the pioneer in suggesting stigmasta-3,5-diene
405
(derived from β-sitosterol) as a marker for detecting admixtures of VOO with refined
406
vegetable oils. The method is based on the isolation of unsaponifiable matter, separation of
407
steroidal hydrocarbon fraction with a 15 g silica gel chromatography column, and analysis by
408
on-column GC with a column of 25 m coated with 5% phenyl-methyl silicone phase, as firstly
409
proposed by Lanzón (1990).46 The separation by silica gel chromatographic can result in
410
chromatograms with interfering peaks because the silica has low acidity. If this occurs, the
411
silica gel should be treated by heating for a minimum of four hours at 550 ºC or extra pure
412
silica gel 60 (Merck, ref. 7754) could be used.
413
Technological advancements have allowed for the preparation of fraudulent mixtures
414
of desterolised vegetable oils in refined olive oil. In 2001 the IOC published the method to
415
determine sterenes (campestadienes and stigmastadienes)47 to detect desterolised seed oils in
416
refined oils. This determination is based on the isolation of unsaponifiable matter, separation
417
of sterene fraction with silica gel chromatographic column impregnated with silver nitrate,
418
and analysis by capillary GC. The critical part of this determination is the optimization of the
419
volumes used to extract each fraction (three different fractions are extracted from the silica
420
gel column). The chromatograms obtained from each fraction can be used for identification if
421
the volumes have been optimized correctly. Another problem with this determination is that in
422
some cases 2,4 and 3,5 diene isomers are separated into two different peaks, which entails the
423
computation of the sum of area to know the total concentration. In these cases the column
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424
should be changed with another that is less polar or has bigger internal diameter. This method
425
can be applied to the quantification of stigmastadiene only if the concentration is higher than
426
4 mg/kg. If the concentration of stigmastadiene is within 0.01 and 4 mg/kg, the IOC method45
427
should be used. The presence of PAHs in olive-pomace oils—arising from pyrolysis
428
processes, environmental and natural sources—compelled IOC48 to set up an analytical
429
method with suitable sensitive, selective and accurate analytical parameters for routine
430
analysis to determine the PAHs concentration, expressed as benzo(a)pyrene on wet weight. It
431
consists of an extraction step (e.g., saponification with alcoholic KOH and liquid–liquid
432
partitioning) followed by one or more purification procedures (column chromatography, TLC,
433
SPE) to end with the analytical determination by GC coupled to flame ionization detection
434
(FID) or mass-spectrometry (MS), or by HPLC with spectrofluorometric detection. The last
435
has proven to successfully separating PAHs from the other hydrocarbons (PAHs co-elute with
436
other hydrocarbons in silica TLC) with a good quantitative response.49,50
437 438
Sterols
439
The major chemical series of the olive oil unsaponifiable matter is that of sterols,
440
which are usually grouped into 4-demethylsterols or phytosterols, 4,4-dimethylsterols or
441
triterpenic alcohols, and 4-monomethylsterols or methylsterols; all of them with analogous
442
chemical structure.
443
The fact that the concentrations of some sterols are characteristic of the genuineness of
444
vegetable oils made them of interest for purity and authenticity control olive oil designations.
445
Thus, for example, brassica seed oils have high content of brassicasterol while olive oils are
446
characterized by high concentration of ∆5-avenasterol. These differences induced IOC to set
447
up a method that allowed for their quantification. Results are expressed as percent of the total
448
area of sterols, although the illegal process of removing sterols without forming fatty acid
449
trans-isomers51 suggests giving the information in absolute concentration. In addition to 19
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450
qualitative differences in the sterol profiles of vegetable oils, some researchers52,53 have
451
pointed out that the pedoclimate (soil, climate, etc.) of the orchards and the cultivars affect the
452
olive oil sterolic composition up to the point that some authentic olive oils can be qualified as
453
non-genuine. The current proposal of decision trees2,54 has been approved to be applied in
454
those anomalous oils to overcome the number of wrong classifications by means of the
455
implementation of equations that combine values of several chemical parameters.
456
The chromatographic methods are mostly devoted to determining the composition of
457
4-demethylsterols or phytosterols. Generally speaking, the determination of sterols comprises
458
the sum of both possible forms (free and esterified) as their sterol acetates55 as shown in
459
Figure 1. Nevertheless, there is a method for determining the individual concentration of free
460
and esterified sterols independently with the particular objective of detecting the presence of
461
hazelnut oil.56 For the determination of both forms together, the unsaponifiable material is
462
usually purified by TLC on silica gel with hexane/diethyl ether (65:35 v/v). The experience
463
has demonstrated that two developments must carry out in order to obtain a satisfactory
464
separation. The plate can be impregnated with alcoholic KOH for the purpose of retaining the
465
FFAs in the unsaponifiable fraction. Three large bands would appear on the TLC plate. The
466
first one contains 4,4-dimethylsterols or triterpenic alcohols, some phytols, and aliphatic
467
alcohols. The second is composed of the remaining phytols and methyl sterols, and the third
468
band contains sterols, erythrodiol, and uvaol. However, the individual separation of sterols is
469
not exempt from difficulties is the amount of the unsaponifiable fraction in diethyl ether to be
470
deposited on TLC excesses 200 µL. An inadequate development of TLC and defective
471
scraping on TLC of the sterol band are other habitual problems the analysts deal with.
472
4,4-Dimethylsterols or triterpenic alcohols, the first fraction, are analyzed by
473
saponifying olive oil with KOH after the addition of an internal standard like C-20 or C-21
474
and by extracting the unsaponifiable matter with diethyl ether and later purifying it on a plate.
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475
No analytical problems have been observed for their GC determination in a nonpolar column
476
(100 dimethylpolysiloxane or a 5% phenyl-95% dimethylpolysiloxane).57
477
The methyl sterols, the second fraction, are separated on TLC with a mobile phase of
478
cyclohexane/ethylic acetate (85:15, v/v). GC analysis of methyl sterols can be carried out
479
under the same conditions as for 4-demethylsterols or phytosterols (EC 19911 and
480
henceforth). These compounds are quantified together with triterpenic alcohols in the same
481
chromatogram.57
482
Erythrodiol and uvaol (triterpene dialcohols) are determined by scraping their TLC
483
band with the band of 4-demethylsterols or phytosterols,58 the third fraction, and subsequent
484
GC analysis. The use of capillary columns yields a significant chromatographic resolution of
485
those diols. Results are still given in percentages while absolute values (concentrations) are
486
preferred as they would diminish substantially the current high number of false positive
487
(genuine VOO classified as adulterated).
488
Analysts, however, have simplified the analysis because the problems of using TLC.
489
Thus, the most reliable and widely used technique is the off-line HPLC-GC coupling that
490
comprises separation of the fractions of sterols or other unsaponifiable components (e.g.,
491
branching and terpenic hydrocarbons) by HPLC with a silica gel column, collection of the
492
fraction, elimination of the solvent, further derivation, and injection onto GC. Figure 2 shows
493
a typical HPLC chromatogram in which the peaks assigned to the different sterol fractions are
494
shown.59 Figures 3 y 4 display the correct separation and peak resolution of the compounds
495
named 4,4-dimethylsterols and 4-monomethylsterols after applying the described HPLC-GC
496
based method.
497 498
Aliphatic alcohols
499
Free and esterified aliphatic alcohols are a linear chain made of even and odd number
500
of 20-32 carbon atoms. It is important to note that phytol (present in VOOs at low 21
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501
concentrations) is an artifact generated from chlorophyll decomposition by alkaline treatment
502
during saponification. The standard method60 begins by adding the internal standard (1-
503
eicosanol) to 5 g of the sample prior to the saponification with ethanolic KOH and then
504
extraction with ethyl ether. The alcoholic fraction is separated from the unsaponifiable matter
505
by depositing it on a silica gel plate, or in a column of the same material, and eluting with
506
hexane:diethyl ether (60:40 or 70:30, v/v). The silylized derivatives can be analyzed with SE-
507
30 or SE-54 or SE-52 capillary nonpolar columns. Because EU regulations61 (and followings)
508
proposed the determination of wax content as an alternative to the quantification of aliphatic
509
alcohols, the analytical method has not been modified since it became a standard method.
510 511
Tocopherols
512
Tocopherols (heteroaromatic acid compounds with high molecular weight) are lipid-
513
soluble compounds easily oxidized in the presence of light, oxygen, alkaline pH, or traces of
514
transition metal ions. The detection method62 employs the direct analysis using normal-phase
515
HPLC and fluorescence or UV detection. Tocopherols are directly analyzed through olive oil
516
injection, dissolved in a hexane:isopropanol (99.8:0.2, v/v) mobile phase, in a Si-60 5 µm
517
LiChrosorb column with a length of 250 mm and an internal diameter of 4 mm. The
518
fluorescence detector characteristics are λext = 290 nm and λem = 330 nm.63 SPE has also been
519
reported as an adequate procedure for sample preparation prior to HPLC analysis of
520
tocopherols in VOO.64 Luminescent methods have also been used for the determination of
521
total tocopherols in VOO without prior separation.65 IOC2 recommends using the ISO 9936
522
method66 to determine α-tocopherol. A portion of oil is dissolved in n-heptane and the
523
individual tocopherols are separated by HPLC-fluorescence or HPLC-UV. The content of
524
each tocopherol is calculated by using calibration curves.
525 526 22
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Journal of Agricultural and Food Chemistry
Methods for olive oil sensory quality control
528
Virgin olive oil (VOO) stands out as a gourmet product because of its rich flavor, and
529
its classification into quality categories basically relies on the sensory assessment, together
530
with some chemical indices that do not provide information about aroma or taste. The sensory
531
assessment by panel test is not, obviously, a chemical method, but some analytical techniques
532
attempt to analyze the chemical compounds actually responsible for flavor and give objective
533
chemical information that can explain the sensory perception.
534
Numerous problems make the sensory interpretation of instrumental analysis difficult
535
to accomplish. This sensory interpretation can be even harder if those analyses do not provide
536
information on the compounds that cause a particular attribute. Thus, instrumental approaches
537
can be grouped as those that have a casual relationship with sensory quality (henceforth,
538
apparently causal relationship), and those that have a causal relationship. The former methods
539
do not analyze flavor compounds that are responsible for attributes, but compounds whose
540
concentrations are, or seem to be, mathematically correlated with some sensory parameters.
541
Mathematical correlation, however, can fail under certain circumstances, and in those cases,
542
the relationship between sensory and chemical information would be dissociated.
543 544
Apparently causal methods for sensory quality control
545
Although methods are validated prior to being proposed as standards not always the
546
validation step is carried out under the strictest conditions which can result in overstated and
547
over-optimistic analytical parameters (e.g., reproducibility, robustness) that usually present
548
umpteen exceptions when the method is widely applied by analysts. The problem is not only
549
circumscribed to methods based on multivariate information but also to methods based on
550
parameters with a weak or casual relationship with sensory quality. The fact is that a
551
successful control of olive oil adulteration by means of statistical procedures encouraged
23
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552
some analysts to think that a strong mathematical relationship can prevail over the lack of any
553
scientific evidence explaining the relationship between sensory assessment and chemical
554
compounds (e.g., pyropheophytins, ethyl esters).
555 556
Pigments
557
Although pigments are related to VOO color,67 the determination of some of their
558
compounds has been proposed as a method for determining VOO quality and adulteration68, 69
559
although its fundamentals in this application is not quite clear.
560
In analytical terms, the method can be focused on determining a particular compound
561
(pyropheophytin a) in a rapid way69,70 or the maximum number of pigments71. In the first
562
case, the analyst can use two methods69,70, although one is more focused on the determination
563
of pheophytins70 than pyropheophytins,69 because both methods use a reverse-phase solid-
564
phase extraction (RP-SPE). The first, however, elutes with petroleum ether (65-95 ºC) and the
565
second with petroleum ether (40-60 ºC): ethyl ether (9:1) for removing lipids. Acetone is used
566
in both methods to collect the pigments. The critical point in both methods is the collection of
567
the analytes in 0.2-0.3 mL of acetone and later the injection in the HPLC instrument because
568
the high volatility of acetone suggests making this step as rapid as possible.
569
When the objective is to have information of a complete profile of pigments, SPE
570
packs can be responsible for the degradation of some pigments – mostly carotenoids – despite
571
their well-known ability in cleanness and free acidity removal. In that case, it is suggested to
572
employ a method that is lengthy and tedious but excellent and well-tested: liquid-liquid
573
extraction, with hexane and dimethylformamide (DMF).71
574 575 576
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Journal of Agricultural and Food Chemistry
Diacylglycerols
578
The difference in the formation of DAG isomers has not only been proposed for olive
579
oil authenticity but also for distinguishing VOOs from extra-VOOs (EVOOs),72 despite the
580
fact that the relationship of DAGs with sensory quality is merely a result of casual with the
581
apparent causal relation in the case of VOO defects resulting from hydrolytic processes; for
582
example, before processing of olives (e.g., fusty), or when vertical containers are used for
583
decanting, among others.
584
The method proposed by Gertz and Fiebig (2006)72 uses a silica gel column
585
chromatography to which 100 mg of the olive oil spiked with 1 mL of toluene is transferred
586
and then the column is washed with isooctane:diisopropylether (0.85:0.15) in a first step. In a
587
second step the DAGs are eluted with diethyl ether and the solvent removed with a rotary
588
evaporator prior to be silylated at room temperature. Then 1 mL of acetone is added to the
589
solution and 1-2 µL are injected into a gas chromatograph. Pérez-Camino et al. (2001),73
590
however, suggested using SPE to which an aliquot of 500 µL of the dehydrated olive oil
591
solution in hexane (0.2 mg/mL) and 200 µL of the internal standard are transferred. The
592
method provided by IOC39 allows separating the 1,2 isomer from the 1,3 isomer of
593
diacylglycerols although saturated and unsaturated DAGs are eluted together. This method
594
suggests analyzing the olive oil sample by GC once it is purified. The suggested
595
chromatographic conditions consist in a direct on-column injection with a capillary column
596
fused silica 3-7 m coated with SE 52 or SE 54 liquid phase (5% diphenyl dimethyl
597
polysiloxane) (Table 3A).
598 599
Fatty Acid Alkyl Esters
600
Alkyl esters are made up of methyl and ethyl esters of fatty acids previously present in
601
their free form. They are a consequence of inappropriate practices in the harvesting and
602
storing of the olives prior to olive oil extraction because of the rupture of the olive drupe and 25
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Journal of Agricultural and Food Chemistry
603
its contact with microorganisms (yeasts) and lipolytic and pectolytic enzymes. Consequently,
604
it seems that presence of the ethyl esters of fatty acids (FAEEs), which are present in the
605
waxy fraction of olive oils,75 indicates that olive oil could have been obtained from unhealthy
606
olives when harvested or because of inadequate processing of the olives. However, the
607
relationship of fatty acid alkyl esters with soft-deodorized oil76 is casual as well as its
608
relationship with sensory quality.
609
The method COI/T.20/DOC. No 31,43 which allows the determination of waxes as
610
well (Table 3A), is based on solid–liquid chromatography (LC) by traditional glass column
611
for isolating the fraction containing alkyl esters and waxes. The method, although very
612
simple—it only requires adding a suitable amount of internal standard to 500 mg of the
613
sample prior to transfer into LC—may pose problems in its implementation because of the
614
difficulty in having similar packing of the silica gel columns in repeatability studies. The
615
difficulty becomes greater with the change of LC packed with 15 g of silica gel6 to 3 g of
616
silica gel43, which reduces the sample pre-concentration. Furthermore, the flow rate of
617
hexane:diethyl ether (99:1) of about 15 drops every 10 seconds is not an easy matter for
618
inexperienced analysts. Experience also suggests that 15-20 mL of hexane should be added
619
instead of 10 mL immediately after the sample is transferred into the column, which helps to
620
achieve a better chromatogram resolution. Furthermore, in samples with low concentration of
621
alkyl esters, they can be masked by the peak tail of the solvent (n-heptane or isooctane),
622
which suggests using n-hexane, which is much more volatile.
623
An interesting alternative is the use of a method based on GC-(EI)MS77 where there is
624
no sample preparation and FAAEs are directly thermo-desorbed and cryo-focused in the
625
cooled injector of a GC–MS (EI) instrument. The detection limit of the method competes with
626
the standard, but the new one is faster, simpler, requires a lower amount of organic solvents
26
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627
and significantly enhances method repeatability. However, it is a new method that requires
628
further studies to fully understand its performance parameters and potential problems.
629 630
Free fatty acids
631
Free fatty acids (FFAs) arise from of the separation of fatty acids from TAGs in the
632
olive because of the action of enzymes, further stimulated by light, water and heat. Thus,
633
FFAs content is a marker of TAGs hydrolysis, and hence it indicates how fresh and how well
634
handled the olives were before being milled. The content of FFAs or free acidity is usually
635
determined by titration following well-established standards78,79 although the amount of
636
sample1 seems to be high (i.e., 20 g when acidity is < 1.0%) and could be reduced to half.
637
There is also the alternative of substituting the solvents for others that are much more
638
amicable, like ethanol:water (1:1).80
639
Determination can be carried out by GC as FAMEs as well. FFA methyl esters are
640
prepared by derivatization with trimethylsilyldiazomethane because methylation enhances the
641
volatility and reduces activity of FFAs, although methylation can be omitted if a highly polar
642
capillary column (e.g., coated with 88% cyanopropyl-aryl-siloxane or 100% cyanopropyl
643
polysiloxane) is used. The procedure also requires the addition of an internal standard (e.g.,
644
tridecanoic or nonadecanoic FAs) and a purification step by SPE filled with an amino
645
stationary phase. Medium-polarity thermostable columns (e.g., coated 65% phenyl-35%
646
dimethyl-polysiloxane) have also been used with success.
647
Although FFA determinations can be easily and rapidly achieved by Fourier transform
648
infrared spectroscopy (FTIR), this approach is not an official method yet. Lanser et al.
649
(1991)81 used peaks near 1745 and 1711 cm−1 to construct a model allowing the determination
650
of the free fatty acid content in crude oils. The C=O carbonyl groups of esters absorb at ~
651
1746 cm−1, while the carboxylic acid group of free fatty acids has its characteristic band at
27
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Journal of Agricultural and Food Chemistry
652
1711 cm−1. Later, an FTIR instrument and ATR accessory were successfully used to
653
determine FFA content in oils and fats.82 However, it is FTIR with transmission cells that has
654
been much more successful.83 In this procedure the free fatty acids that are present in the
655
sample are derivatized to the corresponding free fatty acid salt after reacting with sodium
656
carbodiimide (a weak base) in methanol. The resulting salt presents a measurable
657
spectroscopic band in a region without interference and consequently this band is very easy to
658
measure and calibrate.84,85
659 660
Oxidation products
661
The peroxide value (PV) is an indicator of the primary oxidation status of olive oil,
662
mainly because of the presence of hydroperoxides86. Despite the importance of PV as a
663
quality index, the standard method (ISO 2009)78 is laborious, time consuming, requires the
664
use of organic solvents and, even more importantly, its accuracy depends strongly on the
665
experience of the analyst.88 Its relevance justifies the need for reliable methods that use
666
amicable solvents (i.e., isooctane) that do not perturb the interpretation of the results, and can
667
also be fast and non-destructive, with high degree of automation to provide near-real-time
668
measurements for assessing olive oil quality. In this context, vibrational spectroscopy offers
669
alternative analytical tools87; for example, disposable IR Cards have successfully been applied
670
to determine PV of edible oils.89,90
671
A shift in double-bond configuration occurs during the formation of peroxy radicals
672
and hydroperoxides because the normal methylene-interrupted configuration is transformed
673
into a conjugated form. The absorbance in ultraviolet light of secondary oxidative compounds
674
(conjugated dienes and trienes) is determined according to standard methods,91 which can be
675
easily implemented by analysts. New instrumentation, however, has better characterized the
28
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676
exact wavelengths at which the conjugated dienes and trienes absorb (232 nm and 268 nm)
677
when using isooctane and 232 nm and 270 when cyclohexane is the solvent.
678 679
Causal methods for sensory quality control
680
The sensations perceived when a VOO is consumed are evaluated by sensory
681
assessment implemented in the so-called panel test.92 The official method, however, is
682
questioned by numerous VOO sectors, because the difference between virgin and extra-virgin
683
olive oils depends on the presence of defects, whatever their level of perception. It is there
684
where the method fails: when the panel test analyzes oils that could not have any defect for
685
some panel tests while others have been able to detect defects at very low intensity of the
686
sensory perception, which is enough to qualify olive oils as virgin instead of extra-virgin.
687
Reasons can be found in many aspects -limit of detection, subjectivity, inadequate training,
688
too high sensitivity of some assessors for some odors - but none of them is convincing by
689
itself to explain the errors in the analysis. Therefore, an objective measurement of VOO
690
sensory quality should follow another strategy based on Analytical Chemistry.
691
From a chemical perspective, the flavor of VOO is explained by the occurrence of a
692
series of minor chemical compounds that have a significant sensory impact. Thus, “I smell,
693
therefore there are volatiles” is the sentence, which emulating Descartes’ phrase, summarizes
694
the scientific support explaining that there is a causal relationship between volatile
695
compounds and aroma, and, for a similar reason, between phenols and VOO taste. The
696
methods for quantifying those chemical compounds have as their main objective to contribute
697
to the explanation of what the assessors perceive when they smell and taste VOOs.
698 699
Phenols
700
The prevalent classes of phenols found in VOO are phenolic alcohols, phenolic acids,
701
flavonoids, lignans, and secoiridoids, some of them having antioxidant properties.93 However, 29
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702
and despite, the interest of these compounds from sensory and health viewpoints, no
703
harmonized and widely accepted analytical method exists today because their results are not
704
comparable.94 There are several approaches, one of them being supported by IOC,95 while
705
another96 is still under evaluation. The first one is based on the individual separation of
706
phenols by HPLC while the second one provides the total content of o-diphenols by a more
707
rapid and cost effective colorimetric method. Their results, however, do not seem to be
708
comparable. The colorimetric method has a low specificity, as the color reaction can occur
709
with any oxidizable phenolic hydroxyl group.97 However, it could be a valid method to
710
determine the concentration of total phenols as required in the recent health claim on
711
polyphenols98 once the method is improved and corrected.
712
Regardless the method applied, the first step is the extraction of the phenol fraction
713
from the oil matrix removing the interfering components (e.g., lipids, pigments). The
714
extraction of the phenol fraction can be carried out by SPE (e.g., C18 or diol) or liquid-liquid
715
extraction (LLE). If SPE is used, the addition of hexane or other organic solvents to the oil
716
before extraction99 makes the sample flow through the SPE cartridge easier with no effect on
717
the recovery of phenols. However, the IOC method95 uses a LLE with methanol:water (80:20,
718
v/v). Some authors100,101 have pointed out that the recovery of “bitter” phenolic compounds
719
increases as follows: SPE C18 (with methanol) < SPE diol (with methanol) < LLE (60%
720
aqueous methanol). LLE also seems to be more appropriate for the extraction of oxidized
721
phenolic compounds.102
722
In the separation step, reversed-phase HPLC has been the most successful approach
723
despite the fact that the elution time is generally long, more than 40 min. Separation is carried
724
out using a column RP C18 (250 × 4 or 4.6 mm i.d.) with water–methanol or water–
725
acetonitrile mixtures enriched with acetic, phosphoric or sulfuric acid (up to 3%, pH < 2) to
726
suppress phenol dissociation and improve peak asymmetry. Analysts, however, should pay
30
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727
attention to the various pKa values of individual phenols. Furthermore, degassing should be
728
constant to avoid bubbles that disrupt the long runs. The starting composition of eluent should
729
use small amount of organic phase (approx. 5%). By the end of the run, this amount is usually
730
rather high, though it should never reach 100%. The water quality used for the analysis is
731
essential for avoiding higher backpressures expected at certain ratios. The conditioning times
732
from run to run that are needed to ensure reproducible retention data are long.
733
Ultra high performance liquid-chromatography (UHPLC), with columns packed with
734
1.7 µm particles, coupled to MS/MS (LLE-UPLC-MS/MS) has been applied with success up
735
to the point that its analytical parameters, as LOD and LOQ, are better than HPLC-DAD and
736
HPLC-FLD with the exception of vanillic acid and pinoresinol.103 Although it is much more
737
rapid (18 min) than the IOC standard method and methodologies under evaluation by IOC,
738
the instrumentation is not affordable by most of laboratories.
739
The identification and quantification techniques depend on the aim of the study and
740
available facilities. In the last decade LC-MS techniques have found extended application,
741
though routine analysis is still less demanding regarding instrumentation. Thus, a good
742
detection system can be an in-tandem diode array detector (DAD) with fluorescence detector
743
(FLD). It is well known that UV detection at 280 nm is the standard wavelength, though
744
others (225, 240, 254 nm) are also useful for constituents of olive oil polar fractions, while
745
flavonoids are detected at higher wavelengths (340 nm).
746
UV spectrophotometry (spectrum region between 200-290 nm) is extremely helpful in
747
the identification of phenols and monitoring the purity of HPLC peaks, although
748
hydroxycinnamic acids have a characteristic maximum at 310–332 nm. Differences in
749
maximum wavelength and molar absorption values among the various phenols affect
750
quantification.93 Spectrofluorimetric, in-tandem or not with DAD, is a valuable tool as it is
751
more specific and sensitive than spectrophotometric detection.104,105 However, there is a
31
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752
certain interest in modifying the IOC standard by adding a step of hydrolysis prior to the
753
quantification with HPLC-DAD and suggesting the colorimetric method under revision96 as a
754
routine method for determining the phenolic content for verifying health claims.98 This, once
755
again, increases confusion among analysts since it does not produce comparable results and it
756
is contrary to the current demand of analysts for a reduced number of standard methods.
757
Other alternatives to quantify the phenolic fractions have been studied. Mass
758
spectrometry (MS), for its part, offers a high volume of data on fragments derived from
759
phenolic compounds. Thus, mass spectrometry can be also used to perform quantitative
760
analysis of phenol composition on the basis of fragment abundance. Finally, Nuclear
761
Magnetic Resonance (NMR) and NMR-MS are powerful tools for the structural elucidation of
762
isolated phenolic compounds that are not detectable by other means,106 though NMR cannot
763
yet be used in routine analysis.
764 765
Volatile compounds
766
Any proposal to replace sensory assessment with an analytical procedure presently has
767
two challenges. The first is the determination of the chemical compounds responsible for
768
VOO aroma from the large set of currently identified compounds107,108. The second challenge
769
is to explain those important VOO sensory attributes that are described with considerable
770
vagueness such as fruitiness and green. Therefore, the establishment of the relationship
771
between VOO chemical compounds and sensory attributes is the most complex aspect of the
772
global study of olive oil flavor. However, the relationship between volatile compounds and
773
sensory defects is already well-established.109 Once the markers for a sensory defect are
774
identified, a series of tasks should be implemented: (i) calculate the thresholds of the markers,
775
(ii) select the better analytical evaluation (e.g., Trap, SPME), (iii) produce reference materials
776
to facilitate the implementation of the method for analytical evaluation. All these tasks
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777
(Figure 5) should be carried out in order to develop an analytical method for aroma
778
authentication.
779
The separation and quantification of volatiles is usually carried out by GC, although
780
aroma sensors,110 which do not require a sample preparation step, are gaining in popularity.
781
The sensors are applicable within a screening context, since aroma sensors do not supply
782
individual information of volatiles but instead produce a response curve resulting from all the
783
volatiles present in a static headspace.111 Table 4 describes the analytical techniques, chemical
784
phases and sensors that are commonly used in the analysis of volatiles. In addition to the
785
described methods, in-tandem GC-olfactometry (GC-O) is a valuable tool for the selection of
786
aroma-active components. In GC-O human subjects (assessors) assign the sensory properties
787
of the different peaks/zones of the chromatogram when sniffing GC effluents. Many key
788
aroma compounds occur at very low concentrations but still have sensory relevance due to
789
low odor thresholds108 and they are perceived by panelists and consumers.112
790 791
Unifying methods
792
Researchers have always been looking for unifying methods that allow reduction of the
793
tremendous laboratory workload, given that the current methods offer partial solution for
794
determining the presence of adulterants in olive oil. A difference between theoretical and
795
empirical TAGs is an indication of a mixture of different oils and hence of the presence of an
796
extraneous edible oil in olive oil. The practical implementation of this theory is the so-called
797
Global Method, in which an analytical step for determining FAMEs and TAGs is followed by
798
a mathematical procedure that makes this standard17 different from the other previously
799
approved methods to date.
800
Another proposal of a unifying method was provided by Mariani and co-workers in
801
1991,114 in which sterols, triterpenic alcohols, squalene and tocopherols are quantified
33
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802
simultaneously. This method is based on the concurrent determination of these compounds
803
avoiding the use the TLC for separating the unsaponifiable fraction, which is tedious. The
804
procedure is something similar to that already described for the simultaneous determinations
805
of waxes, FA methyl esters and FA ethyl esters.6
806
Regarding the unifying method for the sensory quality assessment there is a certain
807
interest for a mimetic application of a method for quantifying volatiles of wine to olive oil,
808
when it is obvious than the first has an aqueous matrix and the second is a lipid. The recent
809
method based on the quantification of ethyl esters for assessing quality has raised the interest
810
on quantifying ethanol, which is involved in the formation of ethyl esters. However the
811
relationship between ethyl esters and VOO quality is casual and there is not a kinetic equation
812
that explains the formation of ethyl esters in VOO. Furthermore, the odor threshold of ethanol
813
is so high in a lipidic matrix that it does not contribute to VOO aroma.
814
The aforementioned unifying methods satisfy one of the requirements of analysts
815
working on olive oil control, that is to obtain complete chemical information from an oil
816
without use of extensive resources. Therefore such methods will presumably be welcomed by
817
control labs. However, these methods still need to be fully validated and experience is
818
currently insufficient to propose amendments or detect potential problems. It is also unclear
819
whether these methods should be proposed as alternatives to the current standard methods or
820
as additional options for more experienced analysts.
821 822
Further research in perfecting methods
823
The described methods have solved many problems and have made olive oil one of the
824
most protected foodstuffs though they still need to be improved with further research. The
825
required improvements need to take into account current problems, which are somewhat
826
different from those encountered in the past, and to be stricter in repeatability and
34
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827
reproducibility considering the recent technical advances. The greater ability of current
828
techniques for identifying compounds in olive oil also sets the stage for the evaluation of new
829
purity and quality parameters in addition to validating the current ones. Searching new
830
parameters is of particular interest in quality assessment where the development of alternative
831
methods based on volatile compounds for the assessment of sensory characteristics is
832
required. New research based on chemical and sensory approaches would make the current
833
sensory assessment dispensable to some extent, alleviating the workload associated with panel
834
tests. Researchers also strive to develop methods for assessing health benefits of virgin olive
835
oil (e.g., analyzing phenols) to respond the current demand of industry and consumers.
836
Another challenge is to develop rapid approaches that may serve as alternatives to lengthy
837
chromatographic methods. Thus, spectroscopic techniques may provide effective solutions in
838
cases of complex analytical tasks such as identification of geographical origins. The
839
establishment of open databank and data-sharing platforms fed with spectroscopic and
840
chromatographic data is also being pursued to facilitate the implementation of practical and
841
standardized applications. This task is arduous, requires time and needs to keep pace with the
842
development of new accurate methods and the rise of new challenges.
843
35
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844
References
845 846
(1) EC. Commission Regulation (EEC) 2568/91 on the characteristics of olive oil and olive-
847
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1028 1029 1030
(69) Gertz, C.; Fiebig, H-J. Pyropheophytin a – determination of thermal degradation products of chlorophyll a in virgin olive oil. Eur. J. Lipid Sci. Technol. 2006, 108, 1062–1065. (70) Hornero-Méndez, D.; Gandul-Rojas, B.; Mínguez-Mosquera, M.I. Routine and sensitive
1031
SPE-HPLC
1032
pyropheophytin a in olive oils. Food Res. Int. 2005, 38, 1067-1072.
method
for
quantitative
determination
of
pheophytin
a
and
1033
(71) Mínguez-Mosquera, M.I.; Gandul-Rojas, B.; Gallardo-Guerrero, M.L. Rapid method of
1034
quantification of chlorophylls and carotenoids in virgin olive oil by high-performance
1035
liquid chromatography. J. Agric. Food Chem. 1992, 40, 60–63.
1036 1037
(72) Gertz, C.; Fiebig, H-J. Isomeric diacylglycerols – determination of 1,2- and 1,3 diacylglycerols in virgin olive oil. Eur. J. Lipid Sci. Technol. 2006, 108, 1066–1069.
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(73) Pérez-Camino, M.C.; Moreda, W.; Cert, A. Effects of olive fruit quality and oil storage
1039
practices on the diacylglycerol content of virgin olive oils. J. Agric. Food Chem. 2001,
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49, 699–704.
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(74) Frega, N.; Bocci, F.; Lercker, G. High-resolution gas-chromatographic determination of diacylglycerols in common vegetable oils. J. Am. Oil Chem. Soc. 1993, 70, 175–177. (75) Mariani, C.; Bellan, G. Detection of low quality oils in extra virgin olive oils. Riv Ital. Sostanze Gras. 2008, 85, 3-20.
1045
(76) Pérez-Camino, MC.; Cert, A.; Romero-Segura, A.; Cert-Trujillo, R.; Moreda, W. Alkyl
1046
esters of fatty acids a useful tool to detect soft deodorized olive oils. J. Agric. Food
1047
Chem. 2008, 56, 6740-6744.
1048 1049 1050 1051 1052 1053
(77) Boggia, R.; Borgogni, C.; Hysenaj, V.; Leardi, R.; Zunin, P. Direct GC-(EI) MS determination of fatty acid alkyl esters in olive oil. Talanta, 2014, 119, 60-67. (78) International Organization of Standardization (ISO) 660, Animal and vegetable fats and oils – Determination of acid value and acidity. Geneva, 2009. (79) American Oil Chemists Society (AOCS), official method Cd 3d–63. Acid value. AOCS Press, Champaign. 1999.
1054
(80) Aricetti, J.A.; Tubino, M. A. Visual titration method for the determination of the acid
1055
number of oils and fats: a green alternative. J. Am. Oil Chem. Soc. 2012, 89, 113–
1056
2115.
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(81) Lanser, AC.; List, GR.; Holloway, RK.; Mounts, TL. FTIR estimation of free fatty acid
1058
content in crude oils extracted from damaged soybeans. J. Am. Oil Chem. Soc. 1991,
1059
68, 448–449.
1060
(82) Ismail, AA.; van de Voort, FR.; Emo, G.; Sedman, J. Rapid quantitative determination of
1061
free fatty acids in fats and oils by Fourier transform infrared spectroscopy. J. Am. Oil
1062
Chem. Soc. 1993, 70, 335–341.
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(83) Li, D.; Sedman, J.; García-González, DL.; van De Voort, FR. Automated acid content
1064
determination in lubricants by FTIR spectroscopy as an alternative to acid number
1065
determination. J. ASTM Int. 2009, 6, 1–12.
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(84) Li, Y.; García-González, DL.; Yu, X.; van de Voort, FR. Determination of free fatty
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acids in edible oils with the use of a variable filter array IR spectrometer. J. Am. Oil
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Chem. Soc. 2008, 85, 599-604.
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(85) Yu , X.; Du, S.; van de Voort, FR.; Yue, T.; Li, Z. Automated and simultaneous
1070
determination of free fatty acids and peroxide values in edible oils by FTIR
1071
spectroscopy using spectral reconstitution. Anal. Sci. 2009, 25, 627–632.
1072 1073
(86) Choe, E.; Min, DB.; Mechanisms and factors for edible oil oxidation. Comprehensive Rev Food Sci. Food Safety, 2006, 5,169-186.
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(87) Guillén, MD.; Cabo, N. Some of the most significant changes in the Fourier transform
1075
infrared spectra of edible oils under oxidative conditions. J. Agric. Food Chem. 2000,
1076
80, 2028-2036.
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(88) Van de Voort, FR.; Ismail, AA.; Sedman, J.; Dubois, J.; Nicodemo, T. The determination
1078
of peroxide value by Fourier transform infrared spectroscopy. J. Am Oil Chem. Soc.
1079
1994, 71, 921-926.
1080
(89) Ma, K.; van de Voort, FR.; Ismail, AA.; Sedman, J. Quantitative determination of
1081
hydroperoxides by FTIR spectroscopy using a disposable IR card. J. Am. Oil Chem.
1082
Soc. 1998, 75, 1095–1101.
1083
(90) Pizarro, C.; Esteban-Díez, I.; Rodríguez-Tecedor, S.; González-Sáiz, JM. Determination
1084
of the peroxide value in extra virgin olive oils through the application of the stepwise
1085
orthogonalisation of predictors to mid-infrared spectra. Food Control, 2013, 34,158-
1086
167.
1087 1088
(91) International Olive Council (IOC) T20/Doc. No 19/Rev. 3. Method of analysis spectrophotometric investigation in the ultraviolet. Madrid, Spain 2010.
1089
(92) International Olive Council (IOC) T.20/Doc. No 15/Rev. 6. Sensory analysis of olive oil:
1090
method for the organoleptic assessment of virgin olive oil, Madrid, Spain 2013.
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1091
(93) Tsimidou, MZ. Analytical Methodologies: Phenolic compounds related to olive 0il taste
1092
issues. In: Handbook of olive oil: Analysis and Properties, 2nd edition. Aparicio, R.;
1093
Harwood JL. Eds.; Springer, New York, 2013 pp 311-334.
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(94) Romero, C.; Brenes, M. Comment on addressing analytical requirements to support
1095
health claims on “Olive oil polyphenols” (EC Regulation 432/212). J. Agric. Food
1096
Chem. 2014, 62, 10210-10211.
1097 1098 1099 1100
(95) International Olive Council (IOC) T.20/Doc No 29. Determination of biophenols in olive oils by HPLC. Madrid, Spain, 2009. (96) International Olive Council (IOC) Decision No DEC-17/97-V/2009. Identification and quantification of the phenolics in olive oil. Madrid, Spain, 2009.
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(97) Carrasco-Pancorbo, A.; Cerretani, L.; Bendini, A.; Segura-Carretero, A.; Gallina-Toschi,
1102
T.; Fernandez-Gutierrez, A.. Analytical determination of polyphenols in olive oils. J.
1103
Sep. Sci. 2005, 28, 837–858.
1104
(98) European Comunities (EC) No 432/2012 L 136/1-40. Establishing a list of permitted
1105
health claims made on foods, other than those referring to the reduction of disease risk
1106
and to children’s development and health. Off. J. Eur. Commun. 2012.
1107
(99) Papoti, VT.; Tsimidou, MZ. Looking through the qualities of a fluorimetric assay for the
1108
total phenol content estimation in virgin olive oil, olive fruit or leaf polar extract. Food
1109
Chem. 2009 112, 246–252.
1110
(100) Pirisi, FM.; Cabras, P.; Falqui, CC.; Migliorini, M.; Muggelli, M. Phenolic compounds
1111
in virgin olive oil. 2. Reappraisal of the extraction, HPLC separation, and
1112
quantification procedures. J. Agric. Food Chem. 2000, 48, 1191–1196.
1113
(101) Hrncirik, K.; Fritsche, S. Comparability and reliability of different techniques for the
1114
determination of phenolic compounds in virgin olive oil. Eur. J. Lipid Sci. Technol.
1115
2004, 106, 540–549.
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(102) Armaforte, E.; Mancebo-Campos, V.; Bendini, A.; Salvador, MD.; Fregapane, G. et al.
1117
Retention effects of oxidized polyphenols during analytical extraction of phenolic
1118
compounds of virgin olive oil. J. Sep. Sci. 2007, 30, 2401–2406.
1119
(103) Suárez, M.; Macià, A.; Romero, MP.; Motilva, MJ. Improved liquid chromatography
1120
tandem mass spectrometry method for the determination of phenolic compounds in
1121
virgin olive oil. J. Chromatogr. A 2008, 1214, 90–99.
1122 1123
(104) Brenes, M.; García, A.; Ríos, JJ.; García, P.; Garrido, A. Use of 1-acetoxypinoresinol to authenticate Picual olive oils. Int. J. Food Sci Technol. 2002, 37, 615–625.
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(105) Selvaggini, R.; Servili, M.; Urbani, S.; Esposto, S.; Taticchi, A. et al. Evaluation of
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phenolic compounds in virgin olive oil by direct injection in high-performance liquid
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chromatography with fluorometric detection. J. Agric. Food Chem. 2006, 54, 2832–
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2838.
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(106) Pérez-Trujillo, M.; Gómez-Caravaca, AM.; Segura-Carretero, A.; Fernández-Gutiérrez,
1129
A.; Parella, AT. Separation and identification of phenolic compounds of extra virgin
1130
olive oil from Olea europaea L by HPLC-DAD-SPE-NMR/MS. Identification of a
1131
new diastereoisomer of the adehydic form of oleuropein aglycone. J. Agric. Food
1132
Chem. 2010, 58, 9129–9136.
1133
(107) Aparicio, R.; Morales, MT.; García-González, DL. Towards new analyses of aroma
1134
and volatiles to understand sensory perception of olive oil. Eur. J. Lipid Sci. Technol.
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2012, 114, 1114–1125.
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(108) Morales, MT.; Aparicio-Ruiz, R.; Aparicio, R. Chromatographic methodologies:
1137
compounds for olive oil odor issues. In: Handbook of olive oil: Analysis and
1138
Properties 2nd edition Aparicio, R.; Harwood, JL. Eds.; Springer, New York, 2013 pp
1139
261-310.
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1140 1141 1142 1143
(109) Morales, M.T.; Luna, G.; Aparicio, R. Comparative study of virgin olive oil sensory defects. Food Chem. 2005, 91, 293–301. (110) García-González DL, Aparicio R Sensors: from biosensors to the electronic nose. Grasas y Aceites, 2002, 53, 96–114.
1144
(111) García-González, DL.; Aparicio, R. Coupling MOS sensors and gas chromatography to
1145
interpret the sensor responses to complex food aroma: Application to virgin olive oil.
1146
Food Chem. 2010, 120, 572–579.
1147 1148
(112) García-González, DL.; Vivancos, J.; Aparicio, R. Mapping brain activity induced by olfaction of virgin olive oil aroma. J. Agric. Food Chem. 2011, 59, 10200–10210.
1149
(113) International Olive Council (IOC) T.20/Doc. No 17/Rev. 1. Determination of trans
1150
unsaturated fatty acids by capillary column gas chromatography. Madrid, Spain, 2001.
1151
(114) Mariani, C.; Fedeli, E.; Grob, K. Valutazione dei componenti minori liberi ed
1152 1153 1154
esterificati nelle sostanze grasse. Riv. Ital. Sostanze Gras. 1991, 68, 233-242. (115) Aparicio, R. Final report project G6RD-CT2000-00440 (MEDEO). Commission of the European Communities (Growth Program), Brussels, Belgium, 2004.
1155 1156 1157 1158
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FIGURE CAPTIONS
1160 1161
Figure 1. Chromatogram of 4-demethylsterols of a sample of virgin olive oil. Note: 1,
1162
Cholesterol; 2, internal standard; 3, Brassicasterol; 4, 24-Methylenecholesterol; 5, Campesterol; 6,
1163
Campestanol; 7, Stigmasterol; 8, ∆7-Campesterol; 9, ∆5,23-Stigmastadienol; 10, Chlerosterol; 11, β-
1164
Sitosterol; 12, Sitostanol; 13, ∆5-Avenasterol; 14, ∆5-24-Stigmastadienol; 15, ∆7-Stigmastenol; 16, ∆7-
1165
Avenasterol.
1166 1167
Figure 2. Sterols obtained in fractionation of the unsaponifiable matter by HPLC.59
1168 1169
Figure 3. Chromatogram of 4,4-dimethylsterols of a sample of virgin olive oil. Note: 1, internal
1170
standard (5-α-cholestanol); 2, Taraxerol; 3, Dammaradienol; 4, β-amyrin; 5, Butyrospermol; 6,
1171
Cycloartenol; 7, 24-Methylene-cycloartanol.
1172 1173
Figure 4. Chromatogram of 4-monomethylsterols of a sample of virgin olive oil. Note: 1,
1174
internal standard (5-α-cholestanol); 2, Obtusifoliol; 3, Gramisterol, 4, Cycloeucalenol; 5,
1175
Citrostadienol.
1176 1177
Figure 5. Different approaches to explain the sensory assessment from chemical compounds.
1178
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Table 1. Three Monovarietal Olive Oils from Cultivars Arbequina (Spain), Coratina (Italy) and Koroneiki (Greece) Characterized by Fatty Acids (%), 4-Demethylsterols (mg/kg), Diols (mg/kg), and Aliphatic Alcohols (mg/kg). Note: C16:1 is the Sum of C16:1n-9 and C16:1n-7; b, C18:1 is the sum of C18:1n-9 and C18:1n-7.
Compounds C16:0 C16:1a C17:0 C17:1n-8 C18:0 C18:1b C18:2n-6 C18:3n-3 C20:0 C20:1n-9 C22:0 Campesterol Stigmasterol β-Sitosterol Δ5-Avenasterol Cholesterol 24-Methylen cholesterol Campestanol ∆7-Campesterol Chlerosterol Sitostanol ∆5,24-Stigmastadienol ∆7-Stigmastenol ∆7-Avenasterol Erythrodiol+Uvaol Docosanol Tetracosanol Hexacosanol Octacosanol
Arbequina
Coratina
Koroneiki
12.54±3.76 1.36±0.30 0.12±0.01 0.20±0.04 1.40±0.36 72.12±3.44 11.38±0.17 0.69±0.11 0.40±0.07 0.35±0.05 0.12±0.00 61.01±8.89 14.85±6.94 1269.10±195.73 289.02±60.25 2.17±0.54 6.84±0.73 7.24±0.28 1.99±0.35 1.99±0.19 18.29±0.83 12.13±0.19 2.72±0.23 6.88±0.47 17.92±4.78 11.36±2.23 17.79±1.85 40.60±4.19 30.67±1.98
9.13±0.28 0.44±0.06 0.06±0.01 0.11±0.02 2.36±0.14 80.8±1.00 6.07±0.66 0.68±0.02 0.37±0.01 0.42±0.02 0.12±0.00 46.76±0.68 10.99±0.96 1157.60±5.86 98.20±5.27 3.60±0.80 4.05±1.20 5.89±0.42 4.73±0.57 14.06±1.04 18.87±5.25 6.79±1.26 3.18±0.32 4.26±0.55 26.80±5.40 23.52±3.05 33.17±4.70 52.52±9.54 26.77±4.55
11.21±0.57 0.95±0.07 0.25±0.1 0.15±0.05 2.59±0.24 77.75±1.76 5.63±1.10 0.55±0.13 0.5±0.09 0.55±0.07 0.27±0.10 43.25±0.68 6.95±0.79 831.1±6.11 187.1±8.74 3.59±0.16 4.71±0.22 5.49±1.23 1.10±0.05 12.77±0.94 8.63±1.89 6.39±0.48 2.91±0.29 4.37±0.31 27.67±3.29 13.16±3.98 35.69±6.23 73.48±9.96 26.71±5.28
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Table 2. Utility of Some Chemical Parameters in Olive Oil Authenticity and Approximate Percentage of Detection of Adulterant Oils. Note: GM, Global Method 17; FAMES, Fatty Acid Methyl Esters.
Chemical parameters
Sterols
Sterols + ∆ECN42
Related regulations
58
COI/T.20/Doc. No 30
COI/T.20/Doc. No 3058 16 COI/T.20/Doc. No 20
19
FAMES + Sterols
FAMES + TAGs
COI/T.20/Doc. No 24 COI/T.20/Doc. No 3058 17
COI/T.20/Doc. No 25
Informing variables
Adulterant oil
Approx. % detection
Brassicasterol; Apparent β-sitosterol
Rapeseed oil
1.0 -1.5%
Apparent β-sitosterol; Campesterol
Mustard seed oil
1.0 – 1.5%
Apparent β-sitosterol; ∆ECN42; Campesterol; Stigmasterol
Corn oil
1.0 - 1.5%
Apparent β-sitosterol; ∆ECN42
Safflower oil Sesame oil Soybean oil
1.0 – 4.0%
Cotton oil
3.5 - 5.0%
Sunflower oil
0.5 – 2.5%
Behenic acid; Stigmasterol
Peanut oil
3.0 - 5.0 %
Miristic acid; Stigmasterol
Palm oil Palm kernel oil
3.5 -10.0%
Campesterol; Stigmasterol; ∆ECN42 Apparent β-sitosterol; ∆ECN42; 7 ∆ -Stigmastenol
Results from applying GM
Hazelnut oil
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Table 3A. The Most Common Methods for Quantifying Fatty Acids and Derived Acyl Lipids. Compounds
Fatty acids trans fatty acids
Technique
GCa-FIDb
c
HPLC -RI
d
Triacyglycerols
Triacylglycerols Diacylglycerols
2-glyceryl monopalmitate (%)
Sample pre-treatment
Reference
Column: Capillary 50-100 m×0.25-0.32 mm×0.1-0.3 µm Stationary phase: Cross-linked cyanopropylsilicone COI/T20/Doc. No 17 Carrier gas: Hydrogen or helium Rev 1 Temperature program: 165 ºC (15 min) to 200ºC at 5ºC/min Injection mode: Split
Purification with silica gel extraction cartridge. Cold methylation with KOH.
0.12 g oil in 0.5 mL hexane is charged into column (SPE-cartridge: 1 g of Si) and solution pulled through COI/T20/ Doc.No20 then, eluted with 10 mL hexane-diethylether (87:13v/v). Rev 3 The purified oil is dissolved in acetone at 5%.
Oven temperature: 25 ºC Mobile phase: acetone/acetonitrile (1:1 v/v) or propionitrile (flow-rate 0.6 to 1.0 mL/min) Column: RP-18 (25cm x 4 mm i.d.) (5 μm) with 22 to 23% carbon in form of octadecylsilane Detector: RI
HPLC-RI
Oven temperature: 20 ºC e 29 Purification by SPE (IUPAC method 2507). The purified COI/T20/Doc. No25 Mobile phase: propionitrile (flow-rate 0.6 mL/min) oil is dissolved in acetone at (5%). Rev 1 Column: RP-18 (25cm x 4.5 mm i.d.) (4 μm) Detector: RI
GC-FID
Capillary column: 3-7 m×0.25-0.32 mm×0.10-0.15 µm. C58 and C60 loss by thermal degradation can be avoided by short column 5 m should be enough Requires silylation. Gives information clustered into Phase: SE52, SE54 (5% diphenyl dimethyl polyxilosane) COI/T.20/Doc No 32 their carbon numbers. Carrier gas: Hydrogen or helium Temperature program: 80 ºC -1min- to 220 ºC at 20 ºC/min to 340 -10 min- at 5 ºC/min. Injection mode: On-column
GC-FID
GLC or SPE separation after hydrolytic reaction with pancreatic lipase. Silylation should be applied.
Waxes
Method details
GC-FID
Capillary column: 12 m×0.32 mm×0.10-0.30 µm Phase: Methylpolisiloxane or 5% phenylmethylpolysiloxane. Carrier gas: Hydrogen or helium COI/T.20/Doc No 23 Temperature program: (e.g. 60 ºC -1min- to 180 ºC at 15 ºC/min to 340 ºC -13min- at 5 ºC/min Injection mode: On-column Capillary column: 8-15 m×0.25-0.32 mm×0.1 -0.3 µm COI/T.20/Doc No 18 Phase: 5% Phenylmethylpolysiloxane, liquid phase SE52, Rev 2 SE54.
Fractionation by LC on hydrated silica gel column (15 g of silica). 52
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Carrier gas: Hydrogen or helium Temperature program: e.g. 80 ºC -1min- to 240 ºC at 20 ºC/min to 325 ºC -6 min- at 5 ºC/min to 340 ºC -10min- at 20 ºC/min. Injection mode: On-column Note: a, Gas Chromatography; b, Flame Ionization Detector; c, High Performance Liquid Chromatography; d, Refractive Index; e, Solid Phase Extraction.
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Table 3B. The Most Common Methods for Determining Minor Compounds. Chemical series
Technique
GCa-FIDb
Stigmastadienes
Aliphatic sterenes
hydrocarbons
and
GC-FID
Aliphatic alcohols
Method details
Capillary column: 25-30 m×0.25-0.32 mm×0.15-0.30 µm. Phase: 5% Methylpolysiloxane COI/T.20/Doc No 11 Carrier gas: Hydrogen with quality N-50 or helium Rev 2 Operation conditions: Temperature gradient (235 ºC -6 min- to 285 ºC at 2 ºC/min) Injection mode: Split (ratio 1:15) or on column
Fractionation of unsaponifiable-matter on LC Si-column.
Column: Capillary (25-30 m×0.25-0.32 mm×0.15-0.30 µm) Phase: 5% Phenylmethylpolysiloxane (see section 2.2.3.1) Fractionation of unsaponifiable-matter on LC COI/T.20/Doc No 16 Carrier gas: Hydrogen or helium Rev 1 Si-column impregnated with silver nitrate. Temperature program: 235 ºC -6 min- to 285 ºC at 2 ºC/min. Injection mode: Split (ratio 1:15) or on column
d
Capillary column: 20-30 m×0.25-0.32 mm×0.15-0.30 µm) Phase: 5% Diphenyl- 95% dimethylpolysiloxane (SE-52 or COI/T.20/Doc No 30 SE-54) Rev 1 Carrier gas: Hydrogen or helium Operation conditions: Isothermal 260 ± 5 ºC Injection mode: Split (ratio from 1:50 to 1:100)
GC-FID
Fractionation of unsaponifiable-matter on TLC or HPLC. Silylation should be applied.
GC-FID
Capillary column: 20-30 m×0.25-0.32 mm×0.10-0.30 µm. Phase: SE-52, SE-54 Fractionation of unsaponifiable-matter on TLC COI/T.20/Doc No 26 Carrier gas: Hydrogen or helium or HPLC. Temperature program: 180 ºC -8 min- to 260 ºC -15 minSilylation should be applied. at 5 ºC/min. Injection mode: Split (ratio from 1:50 to 1:100)
c
Sterols and triterpene dialcohols (erythrodiol+uvaol)
Reference
Sample pre-treatment
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Oven temperature: 20 ºC Mobile phase: n-Hexane/isopropanol (99:1 v/v) (flow-rate 1.0 mL/min) Detector: Fluorescence λex: 295 nm; λem: 330 nm Detector: Ultraviolet λex: 292 nm (not recommended)
e
Tocopherols
Waxes, Fatty Acid Methyl esters, Fatty Acid Ethyl Esters
Free Fatty alcohols, Free Tocopherols Free Sterols, Free Triterpenic Alcohols, Methyl Sterols, Sterols, Triterpenic Esters
HPLC -F (Si column)
0.10 g oil in 10 mL n-heptane.
ISO 9936
Fractionation by LC on hydrated silica gel 6 column 15 g of silica . GC-FID Fractionation by LC on hydrated silica gel column 3 g of silica43.
GC-FID
Silylation reaction. Fractionation by LC on silica gel column.
Capillary column: 8-12 m×0.25-0.32 mm×0.1 -0.3 µm Phase: Liquid phase SE52, SE54 COI/T.20/Doc No 28 Carrier gas: Hydrogen or helium Rev 1 Temperature program: e.g. 80 ºC -1min- to 140 ºC at 20ºC/min to 335 ºC -20min- at 5 ºC/min. COI/T.20/Doc No 31 Injection mode: On-column
Mariani et al 1991
56
116
Capillary column: 15 m×0.32 mm×0.1 µm Phase: Methylsilicone at 5% diphenyl Carrier gas: Hydrogen Temperature program: e.g. 80 ºC -1min- to 180 ºC at 20 ºC/min to 330 ºC at 6.5 ºC/min Injection mode: On-column
Note: a, Gas Chromatography; b, Flame Ionization Detector; c, See for the methodology of free and esterified sterols; d, Thin Layer Chromatography; e, High Performance Liquid Chromatography. ;
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Table 4. Advantages and Disadvantages of Most Common Analytical Techniques, Chemical Phases and Sensors Used to Study the Sensory Attribute of VOO. Technique
Description
Advantages
Disadvantages
Dynamic headspace- Gas Chromatography with Tenax
An inert gas (e.g., N2) sweeps headspace of sample, which is stirred or bubbled. Volatiles are trapped in Tenax. Trap is thermally desorbed in GC. Heating the trap to a high temperature while passing a current of inert gas through it.
High adsorption capacity. Useful for almost all kind of volatiles. Good recovery factors. Good repeatability. No artifacts.
Less sensitive to some acids. Temperature and flow rate must be controlled. Possible impurities of the adsorbent. An analysis per sample.
Static headspace- Gas Chromatography with SPME
Rapid, cheap, easy to use. All the steps in a single process when using automatic injector. Various kinds of fibers. Good repeatability.
A SPME fiber is exposed to sample vapor phase. Volatiles adsorbed on fiber are desorbed in GC injection port.
Metal Oxide Semiconductor (MOS) n-type (oxidizing compounds) p-type (reducing compounds)
They are a ceramic former heated by wire and coated with a metal oxide semiconducting film.
Conducting Polymer (CPSs) Polypyrroles Polyanilines
They are based on a measurable change in electrical conductivity when are exposed to volatile compounds
Acoustic Sensors Surface acoustic wave (SAW) Bulk acoustic wave (BAW)
They are based on the propagation of acoustic waves produced by piezoelectric materials in a multilayer structure.
Robust. Quite good sensitivity. Simple signal processing. Low cost. Can be doping with metals to improve sensitivity and selectivity and diminish humidity and temperature dependence. Easy to manufacture. Low power consumption. Robust. Can work at room temperature. Can be doped producing sensors to specific series of volatiles or to a particular application. High sensitivity. Short response time. Low power consumption. Small size. Robustness.
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Differences in quantification of low molecular weight molecules. Less number of volatiles at low concentrations. Some of the disadvantages of the static headspace. Competitive effect between volatiles in SPME absorption Sensitivity affected by humidity. Temporary blinding effect. Sensor drifts. Poor specificity and selectivity with compounds with high molecular weight. Nonlinear response to some chemical compounds. Non-reproducible. Too long response time (20–40 s). Drift with over time or changes in temperature. Extremely sensitive to moisture. Temperature and humidity dependence. Poor reproducibility in the deposition of the coating material. A certain level of noise because of the oscillator high frequency.
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FIGURE 5.
Reference Materials Trap-GC Thresholds of markers
Analytical evaluation
Other instrumentation
Causal explanation Sensory assessment
Pyropheophytins
Casual explanation
Freshness
Analytical evaluation
Ethyl esters
Alcoholic & Butyric Fermentation
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TOC graphic
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