RESIDUAL PESTICIDES ANALYSIS OF VERIOUS ...3.Department of Earth & Environmental Science, KSKV...
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Original Research Article DOI: 10.26479/2019.0501.06
RESIDUAL PESTICIDES ANALYSIS OF VERIOUS VEGETABLES BY GC-MS
Jyotindrakumar J Bhatt1*, H. P. Gajera2, Daya B. Dobariya1, Mrugesh H Trivedi3
1.Department of Chemistry, KSKV Kachchh University, Bhuj, Gujarat, India.
2.Department of Biotechnology, Junagadh Agriculture University, Junagadh, Gujarat, India.
3.Department of Earth & Environmental Science, KSKV Kachchh University, Bhuj, Gujarat, India
ABSTRACT: This reported work describes residual pesticide analysis in different vegetables, during the
period first quarter of the year. A Quick, Easy, Cheap, Effective, Rugged, and Safe (QuEChERS) method
(AOAC Official Method 2007.01) was used to extract pesticide residues from vegetable samples. The
vegetable, fruits and grain market-yard of Junagadh the district place of Gujarat is the selected place from
which the vegetables are collected. In this study we reported the determination of pesticide residues from
selected eight vegetables like cauliflower, brinjal, tomato, cabbage, cluster bean, bottle guard, okra, and chili.
The samples were prepared by usual and established method and followed by extraction were subjected to
analyses. The extracted pesticide residues were analyzed and quantified by standardized Gas
Chromatography/Mass Spectrometry (GC-MS) method developed for 35 pesticide standards. The literature
survey of the study of various samples, we tempted to do further study for the residue pesticides and residual
insecticides analysis with more interest of its penetration and quantification in vegetables in order to
understand the adverse effects and toxicity. The results indicate the presence of pesticide residues in some of
the samples above the stated MRL (Maximum Residue Limit) value.
KEYWORDS: Pesticides, GC-MS, Vegetables, Human Health.
Corresponding Author: Dr. Jyotindrakumar J Bhatt*Ph.D.
Department of Chemistry, KSKV Kachchh University, Bhuj, Gujarat, India.
Email Address: [email protected]
1.INTRODUCTION
The aim of this undertaken work is to describe the pesticide residue in fruit and vegetable, mainly
how they are introduce, dissipated and degraded. Vegetable are important components of human diet
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since they provide essential nutrients that are required for most of the reactions occurring in the
body. A high intake of fruits and vegetables has been encouraged not only to prevent consequences
due to vitamin deficiency but also to reduce the incidence of major diseases such as cancer,
cardiovascular diseases and obesity. Like other crops, vegetables are attacked by pests and diseases
during production and storage leading to damages that residue and quality and the yield. [1, 2]. A
pesticide can also be introduce according to their, Chemical substance, application on different
Biological agents (such as virus or bacteria), as disinfectant, antimicrobial agent or its using like
device. The Pesticide residue refers to the pesticides that may remain on or in food after they are
applied to food crops. The levels of these residues in foods are often stipulated by regulatory bodies
in many countries. Exposure of the general population to these residues most commonly occurs
through consumption of treated food sources, or being in close contact to areas treated with
pesticides such as farms or lawns around houses [3].Pesticides are often referred to according to the
type of pest they control. Another way to think about pesticides is to consider those that are chemical
pesticides or are derived from a common source or production method. Other categories include bio
pesticides, antimicrobials, and pest control devices. Once it reaches the target pest, the chemical
may act in different way likewise,blocking the cellular processes of target organisms in a purely
mechanical way, by this the pesticide physically prevents a basic cellular function even without any
chemical reactions. Destroy or alter the pest’s metabolism. Examples include inorganic copper
compounds, dithiocarbamate fungicides, phosphono amino acid herbicides and organophosphate
insecticides [4].The application of pesticides has a significant effect on biodiversity. These affect
the ability of soil to regenerate itself and remain viable for plant and animal life [5].Environment
devastated by pesticides may take years to recover. In some cases, it may never recover at
all!Maximum residue levels are the highest levels of residues expected to be in the food when the
pesticide is used according to authorised agricultural practices. The MRLs are always set far below
levels considered to be safe for humans. Safety limits are assessed in comparison with acceptable
daily intake (ADI) for short term exposure or acute reference dose (ARfD). MRLs are subject to
legal requirements in most of the countries. MRL setting is based on the national registered good
agriculture practice (GAP) data combined with the estimated likely residue from the supervised
trials mean residue (STMR), ADI and ARfD. MRLs may be exceeded because of pesticide misuse,
false positives due to naturally occurring substances, differences in national MRLs, lack of
registered pesticides and incorrect pesticide application [6]. In this present study, systematic path
way for residual pesticide analysis have been developed. Generally pesticides occur in food in very
low concentration, usually at ppm level. Measuring such a small amount of pesticides is the function
of pesticide residue analysis. A variety of analytical methods are currently used to detect pesticide
residue, and contain certain basic steps, that include, Sampling (Sampling procedure for
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vegetablesby collection, transport and storage of sample) [7]. Detection is based on Trace Level
Analysis of Pesticide Residues [8]. Extraction method for pesticide residue analysis [9]is having
special attention of the researchers.The residues of pesticides have been generally analyzed by gas
chromatography with different detectors. High performance liquid chromatography (HPLC) [10]
has been also employed, particularly when pesticides are thermally instable. Gas chromatography
coupled with mass spectrometry (GC-MS) is more often used at present for pesticide analysis from
soil [11-17] due to the possibility of confirming pesticide identity. The main objective of this work
was to develop a rapid and simple multi residue method for the analysis of pesticides in our samples,
based on the QuEChERS extraction method using a low volume of organic solvent and their
determination by GC-MS[18].
2. MATERIALS AND METHODS
The present experimental work on collecting samples and extractions have been carried out
systemically in order to approach the system which established from reported survey [19-30].
Analyses was done by the Equipments utilized for sample preparation are like, Centrifuge :REMI
Research centrifuge, Vortexer : GeNeiTm, Turbovapour: Caliper Turbovap L-6,Analytical
Balance:0.1 mg – 5.0 gm (LC-GC Analyticals), Auto-Pipette: volume range Genaxy(GENPET Auto
Pipette), 0.2Micron nylon membrane filters from Himedia and finally GCMS System: GC-2010 plus
(Shimadzu).
Sample preparation for QuEChERS
Organic bottle top dispense, Trace HP-5MS Pesticide (length 30m,diameter 0.250mm, fit thickness
0.25 µm),2 mL amber glass vile, 50 ml FEP centrifuge tubes, Clean up tube: 15 mL tubes , Clean
up tube: 2 mL tubes have been taken for preparation and preservation of our samples. Reagents and
chemicals that used for treating samples are 15 ml of 1% acetic acid, Acetonitrile (v/v) HPLC
grade,6 gm MgSO4 (anhydrous) and 1.5 gm sodium acetate(anhydrous),ENVIRO 900 mg MgSO4,
300 mg PSA 150 mg, 150 mg MgSO4, 50 mg PSA (pk of 100). The Standard pesticide stock
solutions were prepared by diluting 1.00mg of each standard pesticide in 10.00mL of HPLC grade
(Fisher scientific) ethy-l acetate. The final concentration was 1.00 mg/mL or 100 ppm. For each
pesticide standard mentioned above, Stock Solutions (SS) of 100 ppm concentration were prepared
in ethyl acetate. A pesticide intermediate standard solution Stock Dilution (SD) 10ppm was prepared
by transferring 1 mL from each pesticide Stock Solutions (SS) to a 15ml tarsons tube and diluting
to volume with ethyl acetate to obtain a concentration of 100µg/mL.The stock dilutions were then
further diluted to prepare Working Solutions (WS) of 1 ppm concentration in ethyl acetate. The
working solutions were then used to prepare pesticide standard solution of 500 ppb, 200 ppb, 100
ppb, and 50 ppb and 10 ppb concentrations. The pesticide standard solutions of 10 ppm was used to
tune the instrument for pesticide residue analysis in the scan mode, while pesticide standard
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solutions of 1ppm, 500 ppb, 100 ppb, 50 ppb and 10 ppb concentrations were used to tune the
instrument in the SIM (Selective Ion Monitoring) mode.
Instrument: GC-MS - Model:- QP2010 Plus Table 1: Criteria, parameter with condition
Table 2:Method development of Pesticide Standards for Pesticide Residue Analysis
GC-Program
Column: HP-5MS (Crossbond, 5% diphenyl / 95% dimethylpolysiloxane)
30 m x 0.25 mm I. D. df = 0.5 µm
Column Oven
Temperature Program:
- Initial temp.120 oC hold for 1 min;
- Temp. ramping 8 oC /min, upto 150
oC, hold for 1 min;
- Temp. ramping 5 oC /min, upto 200
oC, hold for 1 min;
- Temp. ramping 4 oC /min, upto 262
oC, hold for 2 min;
- Temp. ramping 4 oC /min, upto 285
oC, hold for 2.5 min.
Carrier Gas: Helium (99.999% pure)
Injection Temperature: 280 ºC
Injection Method: Splitless (1 min), high pressure injection @ 250 psi
Injection Volume: 1 µL
Total Run Time: 42.50
Solvent cut time: 4.0 min
Interface Temperature: 290 ºC
Ion source Temperature: 230 ºC
Ionization Mode: EI (Electron Ionization)
Scan Range: 50-500 m/z
Pesticide Standard
Mobile Phase
Retention Time
(min)
Ionization
Mode (A) 0.1 % Formic Acid
in MilliQ (B) Acetonitrile
Imidacloprid 90% 10% 0.34 ESI +
Thiamethoxam (50%) (50%) 0.33 ESI +
Thiodicarb (90%) (10%) 0.33 ESI +
CartapHydrochloride (90%) (10%) 0.34 ESI +
Diafenthiuron (10%) (90%) 0.55 ESI +
Imazethepyr (90%) (10%) 0.49 ESI +
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LC-MS-MS method: Model: Waters Acquity UPLC-PDA, TQD mass detector. Extraction
Method& Quantification of Pesticide Residues from vegetables:
Vegetables Sampling:Vegetable sampling was done from the Junagadh District of Gujarat. 8
different type of vegetables namely, Cabbage (V1), Cauliflower (V2), Cluster Bean (V3), Bottle
guard (V4), Okra (V5), Brinjal (V6), Chilli (V7), and Tomato (V8) were collected from the Junagadh
Vegetable Marketing Yard.
Procedure for sampling:
1 Kg of each vegetable was purchased from two different vendors. They were then mixed and stored in
polyethylene bags and labeled properly. They were stored in the laboratory at 2°- 8°C until analyzed.
V1- Cabbage V2-Cauliflower V3-Clusterbean
V4 - Bottle gourd V5- Okra V6- Brinjal
V7– Chilli V8– Tomato
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QuEChERS sample preparation
The determination of pesticides in fruits and vegetables has been simplified by a new sample
preparation method, QuEChERS (Quick, Easy, Cheap, Effective, Rugged and Safe), and published
recently as AOAC Method 2007.011 The sample preparation is shortened by using a single step
buffered acetonitrile (MeCN) extraction and liquid-liquid partitioning from water in the sample by
salting out with sodium acetate and magnesium sulphate (MgSO4). The MeCN extract is solvent
exchanged to hexane/acetone for split less injection with detection by electron ionization and
selected ion monitoring (SIM).
Experimental condition
During the method validation, several experiments were performed to determine the effect of minor
modification to the QuEChERS method which may impact the performance of the analysis in the
laboratory. The recommended consumables required for sample preparation and analysis were
austerely tested (Table 3). The sections were evaluated for sample preparation are,Sample Extraction
and Clean Up, Solvent Exchange, Injection, Separation, Detection
3. RESULTS AND DISCUSSION
Different vegetables viz. Cabbage (V1), Cauliflower (V2), Cluster Bean (V3), Bottle guard (V4),
Okra (V5), Brinjal (V6), Chilli (V7), and Tomato (V8) were collected from market yard of Junagadh
(Gujarat) and studied. The residue concentrations were calculated using reference standards. Out of
35pesticides, total 18 pesticide residues like Trifluralin, Cypermethrin, Propiconazole, Quizalofop-
Ethyl, Pendimethalin, Triazophos, Fenpropathrin, Propiconazole, Carbofuran,alpha-Lindane, beta-
Lindane, gamma-Lindane, Endosulfan-2, delta-Lindane, Methyl-Parathion, Alachlor, Butachlor and
Ethion were detected among 8 vegetables. The maximum residues (Nine pesticides) were detected
in Okra followed by Brinjal (Six pesticides). However, least residue (One-Propiconazol) was Bottle
guard. In cabbage, three residues were detected among which the concentration of Triazophos was
found higher. Cauliflower has two pesticide residues with Quizalofop-Ethyl as higher, while
Pendimethalin was detected higher in cluster bean. Okra has five pesticide residues among which
two pesticides Lindane and Cypermethrin have their isomers (three for each). Thus, total nine
residues including their isomers were detected in Okra. Brinjal has 6 residues with Carbofuran as
highest one, while Chilli sample had four pesticide residues among which Butachlor was found
higher. Methyl-Parathion was detected higher in tomato in addition to two other pesticide residues.
Among all the pesticide residues detected in all the vegetable samples, the concentration of
Butachlor was highest, while that of Endosulfan-2 was lowest, whose structures are as below.
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Butachlor Endosulfan-2
Table 3:Pesticide residues quantified from samples
Name of
the vegetable &
Code No.
Pesticide(s) found Concentration
(mg/Kg)
MRLs (mg/ kg)
/ (As per std. of 2013)
Codex EU
V1
Cabbage
Trifluralin 0.027 - 0.01
Triazophos 0.156 - 0.01
Cypermethrin 0.056 1 1
V2
Cauliflower
Propiconazole 0.076 - 0.05
Quizalofop Ethyl 0.088 - 0.04
V3
Cluster bean
Pendimethalin 0.598 - 0.05
Triazophos 0.211 - 0.01
Fenpropathrin 0.401 - 0.01
V4
Bottle gourd
Propiconazole 2.602 - 0.05
V5
Okra
Carbofuran 0.021 - 0.01
alpha-Lindane 4.304 - 0.01
beta-Lindane 0.133 - 0.01
gamma-Lindane 0.400 - 0.01
Endosulfan-2 0.021 0.5 0.05
Triazophos 0.338 - 0.01
Cypermethrin-1 0.196 0.1 0.05
Cypermethrin-2 0.287 0.1 0.05
Cypermethrin-3 0.736 0.1 0.05
V6
Brinjal
Carbofuran 1.789 - 0.01
Trifluralin 0.046 - 0.01
gamma-Lindane 0.475 - 0.01
delta-Lindane 0.442 - 0.01
Methyl-Parathion 0.102 - 0.01
Fenpropathrin 0.389 - 0.01
V7 beta-Lindane 2.126 - 0.01
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Figure 1: Chrometograph-1
Figure 2: Chrometograph-2
Chilli Alachlor 0.299 - 0.01
Butachlor 13.006 - -
Ethion 0.161 - 0.01
V8
Tomato
Methyl Parathion 0.610 - 0.01
Alachlor 0.072 - 0.01
Fenpropathrin 0.485 - 0.01
5.0 7.5 10.0 12.5 15.0 17.5 20.0 22.5 25.0 27.5 30.0 32.5 35.0 37.5
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
1.1
1.2
1.3
1.4
1.5
1.6(x10,000,000)
TIC
12
3 45
67
89
10
11
12
131
41
5
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
5.0 7.5 10.0 12.5 15.0 17.5 20.0 22.5 25.0 27.5 30.0 32.5 35.0 37.5
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
1.1
1.2
1.3
1.4
1.5
1.6(x10,000,000)
TIC
12
3 45
67
89
10
11
12
131
41
5
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
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Development of Calibration Curve of Pesticide Standards
1 μL of mixture of 35 pesticide standards at different working concentration (500 ppb, 100
ppb 50 ppb and10 ppb) were injected in to the developed and SCAN mode and SIM.
Table 4:Straight Line Equation and R2
Value of each pesticide standard in CC Set
Sr.No. Pesticide Standard Straight Line Equation R2 value
1. Carbofuran Y = 9616.542X + 25394.2 0.9985434
2. Trifluralin Y = 2373.789X +9891.049 0.9977985
3. Phorate Y = 7168.044X +27948.38 0.9992948
4. Dimethoate Y = 1967.341X -27528.05 0.9961004
5. Fluchloralin Y = 1840.894X + 3704.859 0.9989157
6. Methyl-Parathion Y = 1826.126X +12287.39 0.9859142
7. Alachlor Y = 3772.375X -28848.37 0.9990137
8. Heptachlor Y = 1929.796X -9616.518 0.9979476
9. Malathion Y = 2102.9X - 75749.91 0.9983016
10. Chlorpyriphos Y = 4353.934X+90131.99 0.9963005
11. Aldrin Y = 3374.273X+15733.85 0.998087
12. Pendimethalin Y = 1299.304X -2768.327 0.9979654
13. Butachlor Y = 5011.607X +26036.97 0.9843095
14. Endosulfan-1 Y = 574.0606X + 16593.61 0.9990655
15. Profenofos Y = 643.1272X -9073.941 0.9741099
16. Endosulfan-2 Y = 1194.472X +15636.13 0.9965006
17. Ethion Y = 3930.323X -68253.03 0.9933582
18. Triazophos Y = 1930.781X -53887.57 0.982844
19. Quizalofop-ethyl Y = 3870.936X -145147.5 0.9901825
20. Cabaril Y = 9616.542X +25394.2 0.9985434
21. a-BHC Y = 94.4106X +94108.07 0.6315221
22. b-BHC Y = 1212.904X +6387.056 0.9995311
23. g-BHC Y = 769.121X + 29049.18 0.9642116
24. d-BHC Y = 756.0549X +57914.01 0.9918748
25. Fluchlolalin Y = 1840.894X +3704.859 0.9989157
26. Fipornil Y = 6936.443X -221473.4 0.9911576
27. Oxyflurofen Y = 831.2414X -29468.57 0.9895674
28. Propiconazol-1 Y = 1832.952X -32373.87 0.9992266
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29. Propiconazol-2 Y = 2621.924X -41706.33 0.9990739
30. Bifenthrin Y = 9984.335X -82663.65 0.9991796
31. Fenpropethin Y = 7948.786X -90511.99 0.9993834
32. Cypermethrin Y = 2453.772X +126229.7 0.9720539
33. Fenvelarate Y = 2061.077X +156991.1 0.9785813
Figure: 3. Chromatogram of different vegetables sample
(black-V1, pink—V2, blue-V3, brown-V4, green-V5, purpal-V6, light green-V7, black-V8)
DISCUSSION
1µL of mixture of 35 pesticide standards at different working concentration (1 ppm, 500 ppb, 100
ppb and 50 ppb) were injected in to the developed and optimized GC-MS method. Depending on
the retention time obtained from analysis of each individual pesticide standard and relative reference
ions using Total Ion Chromatogram (TIC), the standard analyte in mixture were eluted and confirm
by similarity search from the inbuilt Pesticide Library an NIST Library.The peaks of each individual
pesticide standard obtained were integrated manually for each working concentration. A calibration
plot was developed depending upon Area vs. Concentration. From each individual CC plot of
standard, a straight line equation was obtain. From the straight line equation the concentration of
residues obtained from the vegetable sample will be quantified in ppb concentration.The
chromatogram of the mixture of 35 pesticide standards injected in a single run of GC-MS and the
retention time (RT) of each individual pesticide standards and their relative isomers, majored. There
was no effect of mixture of pesticide on retention time obtained when individual standards were
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eluted. The peaks obtained show more than 80 % similarity with the inbuilt NIST and Pesticide
Library.Figure-shows the relative intensities of chromatogram obtained at different concentration of
pesticide mixture.Figure-shows the calibration plot of pesticide standards Phorate, Dimethoate,β-
BHC etc. As these pesticides residue were extracted from the collected vegetable samples used in
this study
Table 5: Retention Time, peak area and identified compounds from samples
VEGETABLE SAMPLE-V1 to V8
Sr. No.
Retentio
n Time
(min.)
Area
Straight Line
Equation from CC
Set
Concentration
of pesticide
Residues(ppb)
Compound
Identified
(Cabbage)
V1
11.65 60676 Y = 1212.904X
+6387.056 678.879 beta-Lindane
15.92 14777 Y = 3772.375X -
28848.37 758.016 Alachlor
21.08 28205 Y = 5011.607X
+26036.97 876.340 Butachlor
24.21 124481 Y = 3930.323X -
68253.03 268.752 Ethion
Cauliflower
V2
25.75 121835 Y = 1832.952X -
32373.87 237.637 Propiconazole
35.51 90473 Y = 3870.936X -
145147.5 356.645
Quizalofop
Ethyl
Cluster
Bean
V3
19.19 54303 Y = 1299.304X -
2768.327 600.314 Pendimethalin
24.81 57321 Y = 1930.781X -
53887.57 156.656 Triazophos
28.50 131939 Y = 7948.786X -
90511.99
640.204 Fenpropathrin
Bottle Guard
V4
25.75 121835 Y = 1832.952X -
32373.87
237.637 Propiconazole
Okara
V5
4.34 315855 Y = 9616.542X +
25394.2 875.456 Carbofuran
8.32 138767 Y = 94.4106X
+94108.07 875.980 alpha-Lindane
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11.65 60676 Y = 1212.904X
+6387.056 678.879 beta-Lindane
12.76 44141 Y = 769.121X +
29049.18 245.968
gamma-
Lindane
23.32 126868 Y = 1194.472X
+15636.13 875.765 Endosulfan-2
24.81 57321 Y = 1930.781X -
53887.57 276.572 Triazophos
35.14 54641 Y = 2453.772X
+126229.7 2077.472
Cypermethrin
-1
35.45 72570 Y = 2453.772X
+126229.7 25.850
Cypermethrin
-2
35.65 100668 Y = 2453.772X
+126229.7 25.850
Cypermethrin
-3
Brinjal
V6
27.99 273240 Y = 9616.542X +
25394.2 875.456 Carbofuran
11.25 110074 Y = 1930.781X -
53887.57 156.656 Trifluralin
11.65 60676 Y = 1212.904X
+6387.056 245.968
gamma-
Lindane
12.96 88539 Y = 1212.904X
+6387.056 245.968 delta-Lindane
15.59 155723 Y = 1826.126X
+12287.39 355.469
Methyl-
Parathion
28.50 131939 Y = 7948.786X -
90511.99 640.204 Fenpropathrin
Chilli
V7
11.65 60567 Y = 1212.897X
+6387.056 678.669
beta-HCH
15.92 14767 Y = 3772.367X –
28848.37 758.011 Alachlor
21.08 27901 Y = 5011.589X
+26036.97 142.507 Butachlor
24.21 124468 Y = 3930.318X -
68253.03 268.752 Ethion
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Tomato
V8
15.59 155723 Y = 1826.126X
+12287.39 355.469
Methyl
Parathion
15.92 14777 Y = 3772.375X -
28848.37 758.016 Alachlor
28.50 131939 Y = 7948.786X -
90511.99 640.204 Fenpropathrin
4. CONCLUSION
The results from the above study highlighted the presence of pesticide residues in samples. Some
different types of pesticides are present in one type of vegetable indicating the increasing amount of
use of pesticides. Hence, it can be absorb in vegetable samples in law to moderate amount. Study
has been done with systematic process via collection, preservation followed by extraction. The
standard method was applied to treat the collected vegetables for sample preparation. The standards
were taken as reference and each of for calibration in order to quantify and compare with known
molecules of pesticides. Identification of such type of pesticides has been done with compare to that
of known. The main objective was to conduct trace level analysis of pesticide residues from
vegetable samples using GC–MS technique. The well established QuEChERS method is used with
its physico-chemical parameters for extraction of pesticide residue. The extracts were reconstituted
in appropriate solvent such as ethyl-acetate and analyzed by GC–MS. Finally the analyzed samples
were quantified using calibration curve of 35 pesticide standards by GC–MS. The entire study is
fulfilling the aim to show the non-negligible presence of the pesticides in vegetable samples. Results
are indicating the adverse effects and toxicity of these pesticides also harmfulness for human being.
ACKNOWLEDGEMENT
Authors are thankful to the authorities of Gujarat Agricultural University, Junagadh and the
Department of Chemistry, KSKV Kachchh University, Bhuj for providing research facility.
CONFLICT OF INTEREST
Authors have no any conflict of interest.
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