Subscriber access provided by NEW YORK UNIV
Article
QuEChERS adaptability for the analysis of pesticide residues in beehive products seeking the development of an agroecosystems sustainability monitor Silvina Niell, Florencia Jesus, Cecilia Perez Tabarez, Yamandu Mendoza, Rosana Diaz, Jorge Franco, Maria Veronica Cesio, and Horacio Heinzen J. Agric. Food Chem., Just Accepted Manuscript • DOI: 10.1021/acs.jafc.5b00795 • Publication Date (Web): 16 Apr 2015 Downloaded from http://pubs.acs.org on April 21, 2015
Just Accepted “Just Accepted” manuscripts have been peer-reviewed and accepted for publication. They are posted online prior to technical editing, formatting for publication and author proofing. The American Chemical Society provides “Just Accepted” as a free service to the research community to expedite the dissemination of scientific material as soon as possible after acceptance. “Just Accepted” manuscripts appear in full in PDF format accompanied by an HTML abstract. “Just Accepted” manuscripts have been fully peer reviewed, but should not be considered the official version of record. They are accessible to all readers and citable by the Digital Object Identifier (DOI®). “Just Accepted” is an optional service offered to authors. Therefore, the “Just Accepted” Web site may not include all articles that will be published in the journal. After a manuscript is technically edited and formatted, it will be removed from the “Just Accepted” Web site and published as an ASAP article. Note that technical editing may introduce minor changes to the manuscript text and/or graphics which could affect content, and all legal disclaimers and ethical guidelines that apply to the journal pertain. ACS cannot be held responsible for errors or consequences arising from the use of information contained in these “Just Accepted” manuscripts.
Journal of Agricultural and Food Chemistry is published by the American Chemical Society. 1155 Sixteenth Street N.W., Washington, DC 20036 Published by American Chemical Society. Copyright © American Chemical Society. However, no copyright claim is made to original U.S. Government works, or works produced by employees of any Commonwealth realm Crown government in the course of their duties.
Page 1 of 36
Journal of Agricultural and Food Chemistry
QuEChERS adaptability for the analysis of pesticide residues in beehive products seeking the development of an agroecosystems sustainability monitor Silvina Niell1, Florencia Jesús1, Cecilia Pérez1, Yamandú Mendoza2, Rosana Díaz3, Jorge Franco4, Verónica Cesio5, Horacio Heinzen1,5 1
Universidad de la República, CENUR Noroeste, Departamento de Química del Litoral,
PAAP, Ruta 3 km 363, CP60000 Paysandú, Uruguay 2
INIA La Estanzuela, Apicultura, Colonia, Uruguay
3
Ministerio Ganadería Agricultura y Pesca-DIGEGRA Montevideo, Uruguay
4
Universidad de la República, Facultad de Agronomía, EEMAC, Ruta 3 km 363,
CP60000 Paysandú, Uruguay 5
Universidad de la República, Facultad de Química, Montevideo, Gral. Flores 2124,
CP11800 Montevideo, Uruguay
1
*e-mail address:
[email protected] 2
1
ACS Paragon Plus Environment
Journal of Agricultural and Food Chemistry
3
Page 2 of 36
Abstract
4 5
Beehive products could be powerful monitors of pesticide residues originated in
6
agroecosystems during production cycles. Their ready availability provides enough
7
samples to perform analytical determinations but their chemical complexity makes
8
residue analysis a real challenge. Taking advantage of the plasticity of QuEChERS
9
coupled to LC-MS/MS , validated methodologies were developed for bees, honey,
10
beeswax and pollen and applied to real samples for the simultaneous determination of
11
19 of the most employed pesticides in intensive cropping fields. Beehives placed in
12
Uruguayan agroecosystems accumulated pesticides as thiacloprid, imidacloprid,
13
methomyl, carbaryl, hexythiazox, azoxystrobin, pyraclostrobin, tebuconazole and
14
haloxyfop-methyl at 0.0001 to 0.01 mg/kg levels. The oscillations on the amount and
15
occurrence of residue findings for specific apiaries was correlated statistically with the
16
sampling season and the agroecosystem where the beehives were located, showing the
17
potential of bees and bee products to record relevant information to survey the
18
chemicals applied in their surroundings.
19 20 21
Keywords
22
QuEChERS, pesticide residues, beehive matrices, environmental monitor
23
2
ACS Paragon Plus Environment
Page 3 of 36
Journal of Agricultural and Food Chemistry
24
Introduction
25 26
Recently, French beekeepers located 4000 m away from an biogas plant that has been
27
processing waste from a Mars plant producing M&M’S® found their bees produced
28
blue honey, due to the color of the confetti shell cover 1. The striking example shows
29
the potential of bees as reporters of environmental information as they look for pollen
30
and nectar. The different pollutants and agrochemicals they meet, which were applied in
31
the field, are carried and stored in the hive. The final storage point in the hive of these
32
xenobiotics depends mainly on their physicochemical properties and their mode of
33
action. Beehive products could be powerful tools to monitor pesticide residues
34
originated in different agroecosystems in production cycles. Previous reports all over
35
the world showed the occurrence of pesticides in bee products trying to find a link
36
between agrochemicals and the declining of bees 2-8. Bee declining is a major problem,
37
not only for beekeepers but also for farmers and all the producers that depend on
38
pollination to succeed in their agricultural activities. These findings have been focused
39
on bee health and little attention has been paid to the sentinel behavior of bees as
40
reporters of the environmental status of an agroecosystem. The ready availability of bee
41
and beehive products provides enough samples to perform such determinations, but
42
their chemical complexity makes the detection of residues an analytical challenge. In
43
order to systematically analyze bees and bee products, straightforward analytical
44
protocols for the determination of pesticide residues in these matrices are needed.
45
Among the newest general methods for pesticide residue analysis, QuEChERS, the
46
acronym for Quick, Easy, Cheap, Efficient, Rugged and Safe shows the highest
47
potential to accomplish such task.
3
ACS Paragon Plus Environment
Journal of Agricultural and Food Chemistry
Page 4 of 36
9
48
First developed for pesticide residue determination in produce, QuEChERS method
49
spread its applications to a myriad of matrices proving to be a plastic template that can
50
be adapted depending on the particular chemical properties of each matrix. This
51
plasticity has been acknowledged in the two official methods for pesticide residue
52
analysis, namely AOAC 2007.1 and the European Standard EN 15662, where the use of
53
sorbents such as C18 and GCB are recommended depending on the matrix type.
54
Particularly, QuEChERS variations have been employed for the analysis of pesticide
55
residues in bees, bee collected pollen, beeswax and honey
56
comprise the use of different strategies for the elimination of coextractives, e.g. in the
57
case of bees a hexane partition of the acetonitrile (MeCN) extraction solution is used to
58
remove lipids from the extract
59
combination of sample amount, extraction temperature and clean up methodology using
60
freeze out, PSA, C18 and GCB as sorbents for beeswax pesticide residues analysis 14.
61
This approach was more effective than Matrix Solid Phase Dispersion (MSPD) that
62
gave a high load of coextractives that spoiled the chromatographic system after a few
63
injections. Pesticide residues in bees were analyzed using the MeCN based extraction
64
followed by different combinations of sorbents that optimized the performance of the
65
method for the investigated analytes
66
honey is a simpler matrix, and due to its importance as food, it has been widely
67
analyzed following different protocols. CEN 15662 QuEChERS has been smoothly
68
applied to pesticide residue analysis in honey by our group
69
extensive surveys of pesticide residues in bees and beehives in North America and other
70
parts of the world have shown the presence of important amounts of pesticide residues
71
in beehives, looking for possible causes of bee declining
72
classes found were insecticides and fungicides, being the latter the most ubiquitous
2, 7, 10-13
. The methods
11
. Recently, our group reported an optimized
10, 114
. Comparatively with pollen, bees and wax,
15
. As pointed out above,
2-85
. The major pesticide
4
ACS Paragon Plus Environment
Page 5 of 36
Journal of Agricultural and Food Chemistry
73
among North American apiaries. Chlorothalonil, strobilurins as well as some azoles
74
accounted for the more frequent findings. The relationship of these pesticide cocktails to
75
bee health is an open question that deserves a multiple approach to solve it, but at the
76
same time, the vast array of residue findings in beehives supports the idea that bees
77
collect what is in the environment, an ideal characteristic for an environmental monitor
78
3, 16-24
79
In the present communication, the application of QuEChERS protocols for pesticide
80
residue analysis in bees and bee products is reported. After studying the data gathered, a
81
novel, first approach to check the recording of season variations in pesticide residues
82
profiles in beehives within an agroecosystem is explored along with other statistical
83
analysis in order to check the viability of beehives as environmental monitors.
.
84 85
Materials and methods
86
Chemicals and standards
87
MeCN and n-Hexane of HPLC quality was from Pharmco Products Inc. (Brookfield,
88
CT, USA). Water was deionized in the laboratory using a Thermo Scientific (Marietta,
89
OH, USA) EASYpure RoDi Ultrapure water purification system. Magnesium sulfate
90
anhydrous, reagent grade was from J.T. Mallinckrodt Baker Inc. (Phillipsburg, NJ,
91
USA) and formic acid p.a. 88% was purchased from Macron chemicals (Netherlands).
92
A solution of 5% formic acid (V/V) was prepared in MeCN. The bulk amino sorbent
93
(PSA, 40-60 µm), RP-C18 and graphitized carbon black (GCB) were from Scharlab
94
(Barcelona, Spain). Analytical standards, of purity ≥95%, were from Dr. Ehrenstorfer
95
(Augsburg, Germany).
5
ACS Paragon Plus Environment
Journal of Agricultural and Food Chemistry
Page 6 of 36
96
Stock standard solutions of 1 mg/mL were prepared in MeCN and working standard
97
mixtures were prepared by appropriately diluting multiple stock solutions with MeCN.
98
The pesticides studied were all LC amenable pesticides, no GC amenable pesticides
99
were included. They were selected among the most used in extensive plantations in
100
Uruguay aiming to check the model suitability. All working solutions were stored in the
101
dark at 4 °C.
102 103
Apparatus
104
LC–MS/MS was performed with an Agilent 1200 LC system coupled to a 4000
105
QTRAP® LC/MS/MS System from AB SCIEX™ run in the Scheduled® MS/MS-
106
mode. LC-Separation was performed on a ZORBAX Eclipse XDB-C18 (150 mm×4.6
107
mm, 5 µm) column. The operation of the LC gradient involved the following elution
108
programme: A: water/HCOOH 0.1% (V/V); B: MeCN. It was run at 600 µL min−1
109
starting with 10% component B at injection time during 1 min and gradually changing
110
to 100% B over 15 min. This mobile phase was kept for 10 min and then shifted back to
111
the starting conditions (10% component B) and kept there until 35 min after injection.
112
The injection volume was 5 µL. MS/MS detection was performed in the multiple
113
reaction monitoring (MRM) mode using an ESI interface in the positive ion mode. The
114
ionization voltage was 4500 V, the nebulizer gas was synthetic air at 70 psi, and the
115
curtain gas was nitrogen at 30 psi. The solvent evaporation in the source was assisted by
116
a drying gas (heated synthetic air at 425 °C/ 50 psi). The optimal MRM transitions,
117
collision energies and declustering potentials for each investigated compound, were
118
determined infusing with a syringe directly the standard solutions to the instrument at a
119
constant flow. The MS/MS settings used in this study are listed as Supplementary
120
Information. 6
ACS Paragon Plus Environment
Page 7 of 36
Journal of Agricultural and Food Chemistry
121 122
Methodology
123
Sampling design
124
Seven apiaries located in different production zones of Uruguay were selected based on
125
their health history and management. All the apiaries have at least 20 beehives. From
126
each apiary, samples of bees and honeycombs were taken randomly from five beehives
127
in fall, winter and spring. Then the samples were driven to the laboratory where they
128
were joined, obtaining one composed sample per beehive product representing each
129
apiary. The beehive matrices were obtained allowing honey to drain. Once the wax was
130
honey free, the pollen inside the cells was collected digging into them one by one.
131
Sample preparation
132
Pesticide residue analysis in beeswax
133
The methodology employed for the pesticide residue analysis in beeswax was the
134
already described in a previous work by our group 8. Shortly, 2 g of beeswax is
135
extracted with 10 mL MeCN at ∼80 °C. Then, the extract is freezed-out and cleaned-up
136
with 25 mg of PSA primary−secondary amine (PSA) and 25 mg of C18 sorbent per
137
milliliter of extract. Finally the extract is acidified with 5% formic acid solution in
138
MeCN (v/v) (10 µL/mL extract) and injected in LC-MS/MS.
139
140
Pesticide residue analysis in honey
141
The methodology employed for the pesticide residue analysis in honey was the already
142
described in a previous work by our group 9. Shortly, 5 g of honey are extracted with 10 7
ACS Paragon Plus Environment
Journal of Agricultural and Food Chemistry
Page 8 of 36
143
mL water and 10 mL MeCN. Then the mixture of citrate buffer salts is added. The
144
extract is cleaned-up with PSA 25 mg per milliliter and MgSO4 150 mg per milliliter.
145
Finally the extract is acidified with 5% formic acid solution in MeCN (v/v) (10 µL/mL
146
extract) and injected in LC-MS/MS.
147 148
Pesticide residue analysis in bees
149 150
50 g of freezed honeybees were thoroughly comminuted and homogeneized with a hand
151
blender, then 2 g were weighed in a 50 mL centrifuge tube and 5 mL of water; 10 mL
152
MeCN were added and shaken vigorously 1 min, 0.5g disodium hydrogencitrate
153
sesquehydrate, 1 g trisodium citrate dihydrate, 4 g anhydrous magnesium sulphate, and
154
1 g sodium chloride were added, shaken again and the tube was centrifuged 5 min at
155
3000 U/min. The extract was freezed-out overnight and cleaned-up with dispersive
156
Solid Phase Extraction: PSA and C18 25 mg/mL and MgSO4: GCB (59:1) 150 mg/mL,
157
vortexed 30 s, centrifuged 5 min 3000 U/min. The aliquot for LC-MS/MS analysis is
158
acidified with HCOOH 5% in MeCN 10 µL/mL.
159 160
Pesticide residue analysis in pollen
161 162
Pollen isolated from the sampled portions of honeycomb was thoroughly comminuted
163
and homogeneized with a hand blender, then 5 g were weighed in a 50 mL centrifuge
164
tube and 5 mL of water; 10 mL MeCN were added and shaken vigorously 1 min, 1 g
165
sodium acetate, 4 g anhydrous magnesium sulphate, and 100 µL acetic acid were added,
166
shaken again and the tube was centrifuged 5 min at 3000 U/min. The extract was
167
cleaned-up with dispersive Solid Phase Extraction: PSA and C18 25 mg/mL and 8
ACS Paragon Plus Environment
Page 9 of 36
Journal of Agricultural and Food Chemistry
168
MgSO4 150 mg/mL, vortexed 30 s, centrifuged 5 min 3000 U/min. Finally the cleaned
169
extract is transferred into a screw cap vial and injected in LC-MS/MS.
170
171
Statistical analysis
172
Statistical analysis were performed using R, which is a free software environment for
173
statistical computing and graphics 25.
174
Besides the statistical description by average values and standard errors two kind of
175
statistical analysis were done: a Multiple Factorial Analysis (MFA, Scofier and Pages,
176
1998) 26, 27 and the calculus of the Gower (1971) 28 distance. The MFA analysis is done
177
in two steps: first a principal components analysis (PCA) is made per group of variables
178
(groups being bees, wax, pollen and honey) and the original values are standardized by
179
the square root of the first eigenvalue from each group analysis, second a new global
180
PCA is made using the standardized values; that kind of analysis allows to show the
181
relation between concentration of products per group in a two dimensions figure in such
182
a way that the groups near in the figure are more similar in concentration of products.
183
The Gower distance is a distance based in the absolute values of differences between
184
statistical samples, in this case the samples are the apiaries in each season and what is
185
compared is the pesticide residues profile obtained in the four matrixes analyzed.
186
Calculus:(value – minimum) / range.
187
This distance allows the presence of missing values in some comparisons and results are
188
in the (0-1) interval allowing an easy interpretation.
9
ACS Paragon Plus Environment
Journal of Agricultural and Food Chemistry
Page 10 of 36
189
For all the calculations, the concentration of coumaphos found for the different apiaries,
190
was not considered as the acaricide is an agrochemical commonly employed in
191
apiculture, and has no meaning when considering the agroecosystem under study.
192
193
Results and Discussion
194
195
The extracts produced had a significant load of co-extractives. To overcome this
196
difficulty and obtain low LODs an LC-MS/MS using the scheduled option in the
197
multiple reaction monitoring (MRM) mode with optimized transitions, collision
198
energies and declustering potentials for the 19 LC amenable currently employed
199
pesticides in Uruguayan agroecosystems was used, as continuous scanning of the whole
200
mass range lead to higher LODs and LOQs.
201
Methods validation
202
In agreement with the analytical quality control procedures document by DG-SANCO 29
203
five replicates of spiked blanks of bees at different levels (0.2; 0.1; 0.05; 0.01; 0.001;
204
0.0001 mg/kg) and of pollen (0.05; 0.01; 0.001; 0.0001 mg/kg) were analyzed to assess
205
accuracy (% recovery) and repeatability (% RSD) of the procedure (Tables 2 and 3).
206
Limits of Quantification (LOQs) were considered as the lowest successfully validated
207
levels, i.e. the levels where acceptable recoveries (70-120 %) and RSDs (