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Chemistry and Biology of Aroma and Taste
Identification of Cooked Off-flavor Components and Analysis of Their Formation Mechanisms in Melon Juice during Thermal Processing DongSheng Luo, Xueli Pang, Xinxing Xu, Shuang Bi, Wentao Zhang, and JiHong Wu J. Agric. Food Chem., Just Accepted Manuscript • DOI: 10.1021/acs.jafc.8b01019 • Publication Date (Web): 10 May 2018 Downloaded from http://pubs.acs.org on May 10, 2018
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Journal of Agricultural and Food Chemistry
Identification of Cooked Off-flavor Components and Analysis of Their Formation Mechanisms in Melon Juice during Thermal Processing *
Dongsheng Luo1, Xueli Pang2, Xinxing Xu1, Shuang Bi1, Wentao Zhang1, Jihong Wu1
1. College of Food Science and Nutritional Engineering, China Agricultural University; Key Laboratory of Fruit and Vegetable Processing, Ministry of Agriculture; National Engineering Research Center for Fruit and Vegetable Processing, Beijing 100083, China. 2. Tobacco Research Institute of Chinese Academy of Agricultural Sciences, Qingdao, 266101, China
*
Corresponding author. Tel/fax: +86-010-62737434-603. E-mail:
[email protected] ACS Paragon Plus Environment
Journal of Agricultural and Food Chemistry
1
Abstract: Cooked off-flavor components were identified, and their formation
2
mechanisms were studied in heat-treated melon juices. When flavor dilution analysis
3
methods and odor activity value were used to evaluate the cooked off-flavor in
4
heat-treated melon juice, four volatile sulfide compounds (VSCs) were identified as
5
contributors to the cooked off-flavor, as follows: dimethyl disulfide (DMDS),
6
dimethyl trisulfide (DMTS), dimethyl sulfide (DMS), and 3-(methylthio)propanal
7
(MTP). The cooked off-flavor intensities of heated juices from thick-skinned melons
8
were stronger than those in juices from thin-skinned melons. We conducted a
9
comparative analysis of VSCs before and after heat treatment by adding unlabeled
10
and labeled S-methylmethionine (SMM) and/or methionine (Met) to original melon
11
juices. DMS and MTP were formed from SMM and Met through nucleophilic
12
substitution and Strecker degradation, respectively. DMDS and DMTS were partly
13
formed through the oxidative degradation of methanethiol produced from Met.
14
Moreover, SMM could accelerate degradation of Met by increasing the amount of
15
dicarbonyl compounds during heat treatment.
16
Keywords: melon, heat treatment, off-flavor, precursors, formation mechanisms
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Introduction
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Melon (Cucumis melo L.) is an important commercial crop and China’s melon
19
production is approximately 40% of the global production1. However, melon fruits
20
harvested during summer suffer from high postharvest loss due to high levels of water,
21
low acidity, and long-distance transport2. In general, postharvest loss can be
22
controlled by post-harvest treatments, preservation technology, and deep processing
23
technologies. Melon juice, an important deep processing product of melon fruits with
24
high nutritional value3, is conveniently transported and stored. Especially, clear melon
25
juices acquired by ultrafiltration avoid clarifying agents and high temperature
26
processing with high stability and quality4. Thus, in food processing, clear melon
27
juices are significant in reducing postharvest loss and promoting growth in the melon
28
market.
29
Thermal sterilization techniques, such as high temperature short time sterilization
30
(HTST), are widely used in the fruit juice industry to improve safety and to extend
31
shelf life. However, Chen, Pang, Nath, and Sun found that heat-treated melon juice
32
exhibit a strong cooked off-flavor5-8. The cooked off-flavors formed during heat
33
treatment impede the development of deep processing melon products. Thus, the
34
analysis of cooked off-flavor components and formation mechanisms is crucial for
35
improving the flavor quality of heated melon juice.
36
Cooked off-flavor components in heated fruit and vegetable juices are major volatile
37
sulfide compounds (VSCs)9-10, such as dimethyl sulfide (DMS). The mechanisms of
38
DMS formation in some foods, including biological and chemical pathways, were
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discussed 9-11. Other cooked flavors related to VSCs in pineapple juice, dairy products,
40
and beer during heat treatment and fermentation, such as hydrogen sulfide (H2S),
41
dimethyl trisulfide (DMTS), and 3-(methylthio)propanal (MTP), were also reported.
42
These products are mainly formed from the degradation of cysteine (Cys) and
43
methionine (Met), respectively12-14. Reports on cooked off-flavors in foods are helpful
44
to systematically study the cooked off-flavors in melon juice during heat treatment.
45
The current study aimed to 1) identify the cooked off-flavor components in HTST
46
clear melon juices; 2) identify the main precursors of cooked off-flavor components;
47
and 3) analyze the transformation mechanisms of cooked off-flavor components from
48
precursors in clear melon juice during heat treatment.
49
Materials and Methods
50
Chemicals
51
N-alkanes (C5-C30), methionine (Met, CAS: 59-51-8), S-methylmethionine (SMM,
52
CAS: 4727-40-6), dimethyl sulfide (DMS, CAS: 75-18-3), dimethyl disulfide (DMDS,
53
CAS:
54
3-(methylthio)propanal (MTP, CAS: 3268-49-3) were purchased from Sigma–Aldrich
55
Co., Ltd. (Milwaukee, WI, USA) with purity > 98%. Formic acid and acetonitrile
56
were obtained from Merck & Co., Inc., (Kenilworth, NJ, USA) with purity > 99%.
57
The labeled standards (2H3-Met, 2H6-SMM, 2H6-DMS, 2H6-DMDS, 2H6-DMTS, and
58
2
59
(Guangzhou, China). The other reagents were analytical grade purity, and purchased
60
from Beijing Solarbio Science & Technology Co., Ltd (Beijing, China). Ultrapure
624-92-0),
dimethyl
trisulfide
(DMTS,
CAS:
3658-80-8),
and
H3-MTP) were obtained from Guangzhou PUEN Scientific Instrument Co., Ltd
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water was purified using a Milipore Milli-Q system.
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Melon samples
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Thirteen melons were purchased directly from six production areas of China including
64
thick- and thinned-skin melons, in August 2017. Hami (C.melo var. saccharinus, HM),
65
Jiashi (C.melo var. inodorus, JS), Jinlong (C.melo var. recticulatus, JL), and
66
Xizhoumi (C.melo var. reticulates, XZM) were from Xinjiang Uigur Autonomous
67
Region; Jinmi (C.melo var. recticulatus, JM) and Hetaomi (C.melo var. chandalak,
68
HTM) were from inner mongolia Autonomous Region; Lvbaoshi (C.melo var.
69
makuwa, LBS) was from Henan province; Wangwen (C.melo var. reticulates, WW),
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Cuili (C.melo var. pangalo, CL), and Yangjiaomi (C.melo var. chinensis, YJM) were
71
from Shandong province; Bailan (C.melo var. makuwa, BL) and Huanghemi (C.melo
72
var. casaba, HHM) were from Gansu province; and Fenglei (C.melo var. makuwa, FL)
73
was from Tianjin. BL, CL, FL, LBS, and YJM are thin-skinned melons and the
74
soluble solid contents were 8.5-9.7%. HM, JL, JM, JS, WW, XZM, HTM, and HHM
75
are thick-skinned melons and the soluble solid contents were 11.6-13.5%. Each melon
76
was about 60 kg and kept at room temperature to facilitate fruit ripening during
77
storage (20 °C, 3 days, relative humidity about 45%).
78
HTST clear juice preparation
79
Melons were placed in an ice bath for 12 h and then squeezed using a juicer (GT6G7,
80
Light Industry Machinery Factory, Zhejiang, China). The squeezed juice was
81
centrifuged at 8000 rpm for 15 min at 4 °C, and the supernatant was used to prepare
82
clear melon juice using an ultrafiltration unit (Nanjing Kaimi Technology Inc.,
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Nanjing, China) in accordance with the methods reported by Zhao et al. (2016)15. The
84
clear melon juice was heat-treated using an HTST processing system (Armfield FT74,
85
Hampshire, England). The juice was heated to 135 °C at a flow rate of 9.98 L/h and
86
then held for 15 s at 135 °C16. Subsequently, the HTST melon juice was immediately
87
cooled to 20 °C by a cooler (FT74-20-MKIII).
88
Sample preparation for static headspace gas chromatograph-mass spectrometry
89
(SHS-GC)
90
Cooked off-flavor components in HTST melon juices were examined using
91
SHS-GC-MS and flavor dilution (FD) analysis techniques as reported by Zhou et al.
92
(2002)17. HTST melon juice (100 mL) was transferred to a 250 mL gas tight glass jar
93
and equilibrated at 40 °C for 30 min with agitation provided by a magnetic stir bar.
94
Subsequently, 25, 10, 5.0, 2.5, 1.0, 0.5, 0.2, or 0.1 mL of headspace was collected
95
from the incubated jar with a preheated (45 °C) gas-tight syringe (SGE International
96
Pty Ltd, Australia) and then injected into injection port of the gas chromatography
97
system (7890B, Agilent Technologies, Inc., USA) equipped with a mass spectrometer
98
(5975C, Agilent Technologies, Inc., USA) and an olfactometer (ODP2; Gerstel, Inc.,
99
Germany). The column effluent was split 1:1 between the MS and ODP2 using a
100
deactivated fused silica column. Separations were performed on DB-Wax (30 m ×
101
0.32 mm i.d.; 1 µm film; Agilent Technologies, Inc.) and DB-5 columns (30 m × 0.32
102
mm i.d.; 1 µm film; Agilent Technologies, Inc.). GC oven conditions were as follows:
103
ramped temperature programs of the two chromatographic column was initially 35 °C
104
for 1 min; increased to 150 °C at 3 °C/min; and increased to 225 °C at 8 °C/min and
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held for 2 min. The MS conditions were as follows: mass spectra was operated in
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electronic impact mode (voltage, 70 eV), and ion source temperature was 250 °C with
107
full scanning from 30 m/z to 500 m/z at 1 s intervals.
108
Components identified by MS/olfactometer
109
Odor-active components obtained from SHS-GC-MS were further identified using an
110
olfactory detection port (Sniffer 9000; Brechbuhler, Schlieren, Switzerland) supported
111
by the above-mentioned GC-MS. Three trained panelists independently evaluated the
112
effluence of the same sample from a sniff port and were then asked to report the
113
aroma attributes, retention time, and odor intensity of the effluence that possessed
114
cooked off-flavor in accordance with the methods reported by Luo (2017)18. Until two
115
panelists reported that they perceived no odor for a sample, the same procedures were
116
repeated for the next smaller volume. The cooked off-flavor components were
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positively identified by comparing their retention index (RI), odor properties and mass
118
spectra with those of authentic standard compounds. The RI values were calculated in
119
accordance with the methods used by Song et al. (2013)19.
120
Quantitation by headspace solid-phase microextraction (HS-SPME)
121
We used stable isotope dilution (SID) supported by HS-SPME-GC-MS to quantitate
122
the cooked off-flavor components because of its high sensitivity and selectivity17, 20. A
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series of standard solutions of VSCs (both labeled and unlabeled) was prepared in
124
methanol at the following concentrations: 498.32 (2H6-DMS), 501.71 (DMS), 10.31
125
(2H6-DMDS), 10.07 (DMDS), 10.87 (2H6-DMTS), 10.46 (DMTS), 150.60 (2H3-MTP),
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and 151.18 µg/L (MTP). To prepare the calibration standards for each VSC, we
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transferred serial volumes of unlabeled VSC solution (2, 4, 8, 16, or 32 µL) and 4 µL
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of labeled VSC solution into a 25 mL screw cap headspace vial with 10 mL of
129
distilled water and 5 g of sodium chloride. After vibration, the vial was equilibrated
130
for
131
polydimethylsiloxane/divinylbenzene/carboxen coated fiber was then exposed to the
132
headspace of the vial for 30 min. For desorption, the fiber was inserted into GC
133
injection port at 250 °C for 4 min. Selected ion monitoring mode was used in MS
134
analysis during VSC quantitation6. The quantitative analysis of ions for both
135
unlabeled and labeled DMS, DMDS, DMTS, and MTP resulted in the following
136
values: 62, 68, 94, 100, 126, 132, 104, and 107. Detailed conditions of GC-MS were
137
as described in the previously noted analysis methods. VSCs in HTST juice were
138
quantitated using SID-HS-SPME-GC-MS based on the procedure described above.
139
Quantitation by ultra-performance liquid chromatography system coupled to a
140
triple quadrupole mass spectrometer (UPLC-MS/MS)
141
Flavor precursors were quantitated using an UPLC-MS/MS (Milford, MA, USA)21.
142
Separation was achieved using a C18 column (Acquity UPLC BEH C18 100 mm ×
143
2.1 mm, 1.7 µm particle size). The solvent system consisted of 0.2% aqueous formic
144
acid (A) and acetonitrile (B) with gradient elution at a flow rate of 0.3 mL/min and
145
was utilized as follows: initial conditions A:B = 95:5 (1 min hold), linear gradient to
146
95% B for 1 min, 5% B for 1 min, and then switched back to initial conditions and
147
re-equilibration for 2 min. The sample injection volume was 1 µL and the column
148
oven temperature and sample tray temperature were maintained at 40 °C and 4 °C,
20
min
at
40
°
C
with
agitation.
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50/30
µm
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respectively. The electron spray ionization source was used in positive mode by
150
multiple reaction monitoring mode with the following conditions: ion source capillary
151
voltage and cone voltage were 3.34 and 3.5 kV and 35 and 39 V for SMM and Met.
152
Desolvation temperature was 400 °C. The collision gas was argon (purity>99.999%).
153
The optimized selected MS/MS transition pairs of precursor and product ions were as
154
follows: SMM 164>102 (collision voltage 12 v), 2H6-SMM 170>102 (collision
155
voltage 13 v), Met 150>104(collision voltage 10 v), and 2H3-Met 153>107(collision
156
voltage 11v).
157
A series of standard solutions of the sulfides (SMM, 2H6-SMM, Met, and 2H3-Met)
158
was prepared in ultrapure water at concentrations of 10.58 (2H6-SMM), 10.71 (SMM),
159
50.52 (2H3-Met), and 50.69 µg/mL (Met). For the preparation of the calibration
160
standards, 2, 4, 8, 16, or 32 µL of SMM (or Met) standard solution and 4 µL of
161
2
162
tubes (25 mL) with 10 mL ultrapure water. After being agitated, the tubes were
163
centrifuged at 8000 rpm for 15 min (4 °C). Supernatants were filtered using disposable
164
sample filters (0.22 µm) and then analyzed via UPLC-MS/MS. The SMM and Met in
165
melon juices were analyzed in accordance with the procedure described above.
166
Equations used for GC–MS and UPLC–MS/MS anlysis
167
VSC and SMM/Met concentrations were determined in accordance with methods
168
described by Rotsatchakul et al. (2008) and Kim et al. (2017)22-23 using MS response
169
factors and quantitative ion areas for each compound relative to the internal standard,
170
which is calculated as follows:
H6-SMM (or 2H3-Met) standard solution were transferred into a screw cap propylene
Ci = Cis × fi × Ai / Ais
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where Ci and Ai are the concentration and quantitative ion peak area of compound i,
172
respectively. Cis and Ais are the concentration and quantitative ion peak area of the
173
labeled internal standard, respectively. fi is the MS response factor of compound i
174
relative to labeled internal standards calculated using the standard curve.
175
Validation test
176
A specified amount of unlabeled and labeled standard substances, namely, SMM, Met,
177
or a mixture of SMM and Met, was added to 5 L of original juice (clear melon juice),
178
and the juices were agitated at 4 °C for 30 min at 200 r/min. The juices containing
179
exogenous SMM and Met (additive juices) and original juices were then treated using
180
HTST. The concentrations of SMM, Met, and VSCs (both labeled and unlabeled) in
181
additive and original juices were measured before and after HTST by UPLC-MS/MS
182
and HS-SPME-GC-MS in accordance with the methods described in the previous
183
section. The rate of increase of SMM/Met (I-pre) in additive juices, degradation rate
184
of SMM/Met (D-pre) in HTST juices, and rate of increase of VSCs (I-vsc) in HTST
185
juices were calculated as follows:
186
I - pre = Cpre - aj / Cpre - ck
I - vsc = Cvsc − aj / Cvsc − ck
187
D − pre = ( Cpre − fresh − Cpre − htst ) Cpre − fresh
188
where Cpre−aj and Cpre−ck are the concentration of SMM/Met in additive juice and
189
original juice before HTST, respectively. Cvsc−aj and Cvsc−ck are the concentration of
190
VSCs in additive and original juices after HTST. Cpre−fresh is the concentration of
191
SMM/Met in additive juice or original juice before HTST, and Cpre−htst is the
192
concentration of SMM/Met in additive juice or original juice after HTST.
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Statistical analysis
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All experiments in this work were carried out in triplicate. The means and standard
195
deviations of the chromatographic data were acquired by using SPSS software (v17.0,
196
Chicago, IL, USA). A univariate analysis of variance (ANOVA) was used to test the
197
variances of the additives on each volatile sulfide compound in the validation test
198
section. Then, the multiple comparisons using the Duncan test were carried out for
199
ANOVA with significance (p25000). This finding indicates that VSCs strongly
231
influence the overall flavor27. Similar to the results of FD analysis, juices prepared
232
from thick-skinned melons generated strong cooked off-flavor and YJM juice
233
exhibited the lowest cooked off-flavor intensity according to total OAVs of four
234
VSCs. Further analysis found that DMS contributed to the cooked off-flavor of all
235
melon juices exceeding 50%, especially in thick-skinned melon juices. DMTS and
236
DMDS affected the cooked off-flavor more highly in juices from thin-skinned melons
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than in juices from thick-skinned melons. These results showed that varieties and
238
origins affect the cooked off-flavor intensity of melon juices.
239
The highest cooked off-flavor intensity was found in XZM juice according to OAVs
240
rather than in JS or WW juices based on FD analysis, thereby demonstrating that the
241
FD factor of DMS in XZM juice was greatest if the stepwise dilution of headspace
242
volume was continued. Additionally, in HTST juices (BL, CL, and FL), the OAV of
243
DMTS was higher than that of DMDS, but both exhibited the same (or low) FD
244
factors. This finding suggested the volatile components or the volatile components
245
and matrixes that influence the release of VSCs may interact, and such interaction
246
may change the odor intensity of odorants with small OAV or FD factor28. For these
247
reasons, the OAV and FD factor were considered as complementary methods for the
248
identification of VSCs in HTST melon juices.
249
Relations between VSCs and precursors
250
Four VSCs in 13 melon juices were first quantitated to analyze the relations between
251
the concentrations of precursors and VSCs in HTST original juices. As shown in
252
Table 1, the concentration of DMS (468.76–8604.82 µg/L) was higher than that of
253
MTP (31.21–431.11 µg/L), DMDS (4.14–23.43 µg/L), and DMTS (1.09–13.12 µg/L)
254
in all HTST juices. All VSCs were present at levels above their odor thresholds and
255
contributed to the cooked off-flavor27, 29. Moreover, HTST juices from thick-skinned
256
melons exhibited higher concentration of DMS but lower concentration of DMDS and
257
DMTS than juices from thin-skinned melons. The maximum MTP content was found
258
in BL juice, but no relationship was found between the level of MTP and melon
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varieties. The quantitative data were consistent with the FD and OAV results, as
260
shown in Tables 1 and 2, which indicated that DMS and MTP were the two most
261
crucial cooked off-flavor components in HTST melon juices, especially in
262
thick-skinned melon juices. For thin-skinned melon juices, DMTS was an important
263
cooked off-flavor component, even though its levels were lower than those of DMDS
264
because of its extremely low odor threshold (0.01 µg/L in water).
265
The concentrations of SMM and Met in 13 melon juices were then measured in
266
original juices before HTST. All the melon juices contained Met and SMM, thereby
267
implying that these compounds are potential precursors of VSCs (Table 1). The
268
highest concentration of SMM was found in XZM juice (18.36 µg/mL), followed by
269
JS (13.35 µg/mL), and the lowest concentration was found in YJM (4.71 µg/mL),
270
which was consistent with the concentration of DMS measured in the three melons
271
(Table 1). However, except for the above mentioned three melons, the apparent
272
contradiction between the concentrations of DMS and the distribution of SMM in
273
thick- and thin-skinned melons suggest that some factors affect the conversion of
274
SMM into DMS during heat treatment. Similarly, the highest concentration of Met
275
was found in BL (69.19 µg/mL), and the lowest concentration was found in LBS
276
(13.93 µg/mL). These results were consistent with the concentration of MTP but
277
inconsistent with the concentrations of DMDS and DMTS among the melons. This
278
finding suggests that Met may only generate MTP during HTST.
279
The contradictions between the concentrations of precursors and VSCs may have
280
arisen from different degradation rate of precursors, because the degradation SMM
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and Met in different melons will be seriously affected by food matrix, including
282
precursors, dissolved oxygen, reducing sugars, amino acid, and acidity25-26,
283
Degradation rate was calculated by quantitating SMM or Met before and after HTST
284
to avoid the matrix influence between different melons (Table 2). The trend of
285
SMM/Met degradation was consistent with the amount of DMS/MTP formed without
286
regard to the influence on VSC release by the matrix. This finding demonstrated the
287
effect of matrix on SMM/Met degradation and illustrated the apparent contradiction
288
between the concentration of precursors and concentration of VSCs in the melons.
289
However, no relationship was found between Met and DMDS and DMTS in HTST
290
melon juice. This suggests that SMM and Met may be the precursors of DMS and
291
MTP, whereas other precursors for DMDS and DMTS are present.
292
MTP is known to be a Maillard aldehyde, mainly generated from Met through
293
Strecker degradation, which can be oxidised into DMDS and DMTS during heat
294
processing32. Thus, DMDS and DMTS might be generated from Met when MTP was
295
present in HTST melon juices. It has been proposed that DMDS and DMTS may only
296
be partially generated from thermal degradation of Met, whereas some were derived
297
from unknown precursors, such as intermediate products of Met metabolism, or
298
enzyme action during the temperature rise of melon juice, thereby leading to no
299
specific connection between them33-36. In the current work, we did not explore the
300
unknown precursors and related enzymes of DMDS and DMTS due to their small
301
contribution to cooked off-flavor for most of HTST melon juices.
302
Identification of precursors
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30-31
.
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The degradation rates of SMM and Met were analyzed in original and additive juices
304
containing exogenous SMM or Met after HTST because of their great influence on the
305
formation of VSCs. No obvious differences between the degradation rates of different
306
melon varieties were found (Figure 2). Thus, the rate of increase of SMM or Met in
307
additive juices before HTST will be similar with that of VSCs after HTST if they
308
were corresponding precursors.
309
Based on the above results, the relevance analysis was carried out to identify the
310
precursors of VSCs by comparison of SMM and Met with VSCs in additive juice and
311
original juice after HTST. The two-way multivariate analysis of variance of VSCs and
312
SMM and Met are summarized in Figure 3. No significant interaction (p102
%
0 0.00
25000 20000
0.25
0.50
0.75
1.00
1.25
1.50
1.75
2.00
2.25
4b DMS
DMDS
DMTS
MTP
CK
15000 10000 5000 0 5.00
10.00
15.00
20.00
25.00
30.00
35.00
25000 20000 15000
Ion 62.00
10000
Ion 68.00
2H -SMM 6
5000 0 5.00
10.00
15.00
20.00
25.00
30.00
35.00
25000 Ion 94.00 Ion 97.00 Ion 100.00
20000 15000
Ion 104.00
Ion 126.00 Ion 129.00 Ion 132.00
Ion 107.00 2H -Met 3
10000 5000 0 5.00
10.00
15.00
20.00
25.00
30.00
35.00
Note: Rt is the retention time of SMM/Met on liquid chromatogram; QIR is quantitation ion pair; 2
H6-SMM and 2H3-Met are hydrogen labeled SMM and Met, respectively.
Figure 4 a and b.
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Figure 5.
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TOC graphic
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