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Tasic AM, Ninković M, Pavlović I. Validation and application of a method for determination of multi-class pesticides in muscle chicken breast fillets using QuEChERS extraction and GC/MS. J Vet Res 2024; 68:223-232. [PMID: 38947162 PMCID: PMC11210362 DOI: 10.2478/jvetres-2024-0036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 06/17/2024] [Indexed: 07/02/2024] Open
Abstract
Introduction The occurrence of pesticide residues in animal products deserves attention because of the contamination by environmental pollutants and pesticides that may be present in the food that animals are fed. The goal of this work was the validation of a method for detection of residues of multiple classes of pesticide and determination of their residues in chicken breast fillets. Material and Methods Gas chromatography with mass spectrometry was used for analysis. A modified quick, easy, cheap, effective, rugged and safe (QuEChERS) method was put into practice for its validation and applied to real samples. The study optimised mass detection and investigated the effect of a freezing step during the preparation of samples. Pesticides were determined in samples from conventional and organic production. Results The impact of the matrix effect decreased, with the largest number of pesticides and satisfactory recovery determined by the application of mixed solvent acetonitrile and ethyl acetate for extraction. Detection of pesticide residues was achieved in a linear range between 5 and 50 µg/kg with satisfactory excellent correlation coefficients greater than 0.99. The recovery of all the pesticide residues ranged between 71.2 and 118.80%. The relative standard deviation was from 2.9% to 18.1% for all validated pesticide residues. The limits of quantification were in the range of 3.0-4.9 µg/kg. Out of 56 pesticide residues analysed in real samples, 5 were detected: α endosulfan, cypermethrin, endosulfan sulphate, permethrin and p,p´-dichlorodiphenyltrichloroethane (DDT) and their concentrations ranged from 4.9 to 15.2 µg/kg. Conclusion All tested samples were compliant with the evaluation criteria, and detected values of pesticide residues were lower than the maximum residual levels.
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Affiliation(s)
| | | | - Ivan Pavlović
- Department of Bacteriology and Parasitology, Scientific Institute of Veterinary Medicine of Serbia, 11000Belgrade, Serbia
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Soyel SKA, Hazra DK, Ruidas S, Mandal S, Bhattacharyya S, Poi R, Karmakar R, Mondal G, Majumder S, Mondal P. Simultaneous Monitoring and Decontamination of Pesticide Residues in Phytomedicine-Enriched Betel Leaf Utilizing QuEChERS-GC-MS/MS Technology to Safeguard Public Health. J AOAC Int 2023; 106:1209-1219. [PMID: 36622007 DOI: 10.1093/jaoacint/qsad005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 12/02/2022] [Accepted: 12/13/2022] [Indexed: 01/10/2023]
Abstract
BACKGROUND The presence of undesirable substances, including pesticides (xenobiotics) in betel leaf (Piper betel), is a great concern for consumers because it is chewed and consumed directly. To protect the consumer's health, a modified QuEChERS method for monitoring purposes and subsequent decontamination process has been developed. OBJECTIVE The goal of this work was to establish a multi-residue analytical method for monitoring nonpermitted organophosphorus pesticide residues in betel leaf, as well as cost-effective cleaning strategies. METHOD The homogenized 15 g samples (20 betel leaf samples collected in West Bengal, India) were extracted with a modified QuEChERS method using acetonitrile, reconstituted to acetone, and finally analyzed by GC-MS/MS. Possible decontamination techniques (such as tap water washing, 2% saltwater washing, and lukewarm water washing) were evaluated. RESULTS The limit of detection ranged from 0.003 to 0.005 mg/kg, and limit of quantification was 0.01 mg/kg. Recoveries ranged from 80 to 120% with RSDr 9%. One sample was found to contain three pesticides 4 to 7 times higher than MRLs. Suggested decontamination methods allowed reducing toxic traces below European limits. CONCLUSIONS The suggested approach is useful for determining pesticide residues in betel leaves quickly. Traditional techniques of processing betel leaves may reduce pesticide residues below regulatory limits. HIGHLIGHTS A multi-residue method and decontamination of pesticides in betel leaf using QuEChERS-GC-MS/MS technology with satisfactory method performance was achieved. Domestic decontamination techniques have a high efficacy in reducing pesticide residues from betel leaves, making them safe for human consumption.
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Affiliation(s)
- S K Amir Soyel
- Bidhan Chandra Krishi Viswavidyalaya, Department of Agricultural Chemicals, Kalyani, Nadia, West Bengal 741235, India
| | - Dipak Kumar Hazra
- Bidhan Chandra Krishi Viswavidyalaya, All India Network Project on Pesticide Residues, Department of Agricultural Chemicals, Kalyani, Nadia, West Bengal 741235, India
| | - Subhajit Ruidas
- Bidhan Chandra Krishi Viswavidyalaya, Department of Agricultural Chemicals, Kalyani, Nadia, West Bengal 741235, India
| | - Swagata Mandal
- Bidhan Chandra Krishi Viswavidyalaya, All India Network Project on Pesticide Residues, Department of Agricultural Chemicals, Kalyani, Nadia, West Bengal 741235, India
| | - Sudip Bhattacharyya
- Bidhan Chandra Krishi Viswavidyalaya, All India Network Project on Pesticide Residues, Department of Agricultural Chemicals, Kalyani, Nadia, West Bengal 741235, India
| | - Rajlakshmi Poi
- Bidhan Chandra Krishi Viswavidyalaya, All India Network Project on Pesticide Residues, Department of Agricultural Chemicals, Kalyani, Nadia, West Bengal 741235, India
| | - Rajib Karmakar
- Bidhan Chandra Krishi Viswavidyalaya, All India Network Project on Pesticide Residues, Department of Agricultural Chemicals, Kalyani, Nadia, West Bengal 741235, India
| | - Goutam Mondal
- Bidhan Chandra Krishi Viswavidyalaya, AICRP on MAP & Betelvine, Department of Plant Pathology, Directorate of Research, Kalyani, Nadia, West Bengal 741235, India
| | - Sujan Majumder
- ICAR-Indian Institute of Vegetable Research, Varanasi, Uttar Pradesh 221305, India
| | - Prithusayak Mondal
- Uttar Banga Krishi Viswavidyalaya, Regional Research Station (Terai Zone), Pundibari, Cooch Behar, West Bengal 736165, India
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Seo HJ, Na TW, Lee SH, Kim HJ, Hong S, Cho H. Target and non-target analytical method for potential hazardous substances in livestock and pet hair using liquid- and gas chromatography quadrupole time-of-flight mass spectrometry. J Chromatogr A 2023; 1705:464170. [PMID: 37390765 DOI: 10.1016/j.chroma.2023.464170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Revised: 06/16/2023] [Accepted: 06/17/2023] [Indexed: 07/02/2023]
Abstract
Extraction using acetonitrile and water and quadrupole time-of-flight mass spectrometry (LC and GC-QTOF/MS) techniques were used to screen for potential hazardous substances in livestock and pet hair. In addition, LC-MS/MS and GC-MS/MS techniques were used for verification of the analytical method and quantitative analysis of pesticides, veterinary drugs, mycotoxins and antioxidants in hair. Optimized sample preparation involves extracting 0.05 g of sample with 0.6 mL of ACN and 0.4 mL of distilled water. In addition, the two layers were separated by adding 0.1 g of NaCl. Then, both the ACN and water layers were analyzed by LC-TOF/MS, and the ACN layer was analyzed by GC-TOF/MS. Most of the matrix effects of livestock and pet hair were less than 50%, but some matrices and components showed high results, so matrix matching correction was applied for more precise quantification. Method validation was performed for 394 constituents (293 pesticides, 93 veterinary drugs, 6 mycotoxins and 2 preservatives) in dog, cat, cow and pig hair and chicken and duck feathers. All components showed good linearity (r2 ≥0.98) in the developed assay. The quantification limit of all compounds was set at 0.02 mg/kg, which is the lowest level that satisfies the recovery rate standard. The recovery experiment was repeated 8 times at 3 concentrations. Most of the components were extracted with the ACN layer, and the recovery rate was 63.35-119.98%. In order to confirm the efficiency of extracting harmful substances from actual samples, 30 hairs of livestock and pets were screened.
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Affiliation(s)
- Hyung-Ju Seo
- Experiment Research Institute, National Agricultural Products Quality Management Service, 141, Yongjeon-ro, Gimcheon-si, Gyeongsangbuk-do 39660, Korea.
| | - Tae Woong Na
- Experiment Research Institute, National Agricultural Products Quality Management Service, 141, Yongjeon-ro, Gimcheon-si, Gyeongsangbuk-do 39660, Korea.
| | - Seung Hwa Lee
- Experiment Research Institute, National Agricultural Products Quality Management Service, 141, Yongjeon-ro, Gimcheon-si, Gyeongsangbuk-do 39660, Korea.
| | - Ho Jin Kim
- Experiment Research Institute, National Agricultural Products Quality Management Service, 141, Yongjeon-ro, Gimcheon-si, Gyeongsangbuk-do 39660, Korea.
| | - Sunghie Hong
- Experiment Research Institute, National Agricultural Products Quality Management Service, 141, Yongjeon-ro, Gimcheon-si, Gyeongsangbuk-do 39660, Korea.
| | - Hyunjeong Cho
- Experiment Research Institute, National Agricultural Products Quality Management Service, 141, Yongjeon-ro, Gimcheon-si, Gyeongsangbuk-do 39660, Korea.
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Li S, Nie C. Determination of tolfenpyrad residues in green tea by GC-MS/MS based on acetonitrile extractant, dispersion solid phase extraction purification. JOURNAL OF ENVIRONMENTAL SCIENCE AND HEALTH. PART. B, PESTICIDES, FOOD CONTAMINANTS, AND AGRICULTURAL WASTES 2023; 58:515-520. [PMID: 37458407 DOI: 10.1080/03601234.2023.2235249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/03/2023]
Abstract
Green tea is one of people's favorite drinks. However, pesticide residues in green tea can cause harm to the human body, and therefore, detection of pesticide residues in green tea is very important. In recent years, the detection of pesticide residues in tea has become a research hotspot. In this paper, a gas chromatography-mass spectrometry/mass spectrometry (GC-MS/MS) detection method of tolfenpyrad pesticide residues in green tea was established by using acetonitrile extractant, dispersive solid-phase extraction purification, temperature programming and application retention time lock with the database. After the sample was extracted with acetonitrile, then the sample was purified by QuEChERS extraction purification tube, afterward isomer B was used as the internal standard for the determination by multiple reaction monitoring mode (MRM) of GC-MS/MS. The results indicated that the experimental data accorded with the criterion on quality control of laboratoris(chemical testing of food), and the requirements of recovery, calibration curve, precision.This method was used to detect tolfenpyrad residues in actual green tea samples in multiple batches, and the satisfactory results were obtained.
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Affiliation(s)
- Songmei Li
- School of Chemistry and Chemical Engineering, University of South China, Hengyang, China
| | - Changming Nie
- School of Chemistry and Chemical Engineering, University of South China, Hengyang, China
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5
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Bhattacharyya A, Pardeshi A, Nerpagar A, Banerjee K. Multiresidue analysis of pesticides in three Indian soils: method development and validation using gas chromatography tandem mass spectrometry. JOURNAL OF ENVIRONMENTAL SCIENCE AND HEALTH. PART. B, PESTICIDES, FOOD CONTAMINANTS, AND AGRICULTURAL WASTES 2023; 58:158-194. [PMID: 36840342 DOI: 10.1080/03601234.2023.2175578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
The paper reports a multiresidue method that was validated on 220 multi-class pesticides in three major Indian soils, namely, (i) new alluvial soil (NAS); (ii) red lateritic soil (RS) and (iii) black soil (BS) from three different regions. An ethyl acetate-based extraction method with a freezing-out cleanup step was employed for sample preparation, followed by gas chromatography-tandem mass spectrometric analysis. The method that was initially optimized on BS worked satisfactorily for the other two soil matrices. At the spiking level of 10 µg/kg (LOQ), the recoveries were satisfactory (within 70-120%) with precision-RSDs, ≤20% (n = 6) for 85, 88.6, and 89% of compounds in BS, RS, and NAS respectively. At 20 µg/kg, the method performance was satisfactory in each soil for all pesticides. When this validated method was applied to analyse 25 field samples, 6 pesticides were detected in them. In each case, precision (RSD) was <20%. The method sensitivity, accuracy and precision complied with the SANTE/2020/12830 guidelines. The method can be applied for environmental monitoring and risk assessment purposes, thus aiding in regulating pesticide usage in agricultural fields. The limitations and future scope of the study are also discussed.HighlightsA multiresidue method is reported for simultaneous analysis of multi-class pesticides in diverse soilsThe method was validated on 220 pesticides in new alluvial, red lateritic and black soilsSample preparation involved extraction with ethyl acetate and cleanup by a freezing stepThe residues were estimated by gas chromatography tandem mass spectrometry (GC-MS/MS)The method accuracy and precision complied with the EU's SANTE guidelines.
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Affiliation(s)
- Arijita Bhattacharyya
- National Reference Laboratory, ICAR-National Research Centre for Grapes, P.O. Manjri Farm, Pune, India
| | - Anita Pardeshi
- National Reference Laboratory, ICAR-National Research Centre for Grapes, P.O. Manjri Farm, Pune, India
| | - Apurva Nerpagar
- National Reference Laboratory, ICAR-National Research Centre for Grapes, P.O. Manjri Farm, Pune, India
| | - Kaushik Banerjee
- National Reference Laboratory, ICAR-National Research Centre for Grapes, P.O. Manjri Farm, Pune, India
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6
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Wang J, Zhao W, Guo W, Li Y, Jiang R, Li H, Wang S, Li Z. Simultaneous screening and analysis of 155 veterinary drugs in livestock foods using ultra-high performance liquid chromatography tandem quadrupole linear-ion-trap mass spectrometry. Food Chem 2022; 393:133260. [PMID: 35751223 DOI: 10.1016/j.foodchem.2022.133260] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 05/16/2022] [Accepted: 05/17/2022] [Indexed: 11/04/2022]
Abstract
Veterinary drugs are widely used to improve the health and growth of livestock. The supervision of these residues is necessary to ensure food safety. A high-throughput method based on Oasis PRiME HLB with solid phase extraction for simultaneous qualitative and quantitative analysis of 155 veterinary drugs in livestock foods was developed by the ultra-high performance liquid chromatography tandem quadrupole linear-ion-trap mass spectrometry (UHPLC-QTRAP-MS). The limits of detection and quantification ranged from 0.5 μg/kg to 5 μg/kg and 2 μg/kg to 20 μg/kg, respectively. For over 85% of the analytes, the recoveries were between 60% and 120%. The positive simulated samples perfectly matched with a purity fit value over 70% from the self-built library. The screening results of UHPLC-QTRAP-MS were almost consistent with UHPLC tandem quadrupole-exactive orbitrap mass spectrometry (UHPLC-Q-Exactive Orbitrap/MS). The evaluated UHPLC-QTRAP-MS method was powerful and reliable for the screening and quantification of veterinary drugs in real samples.
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Affiliation(s)
| | - Wentao Zhao
- China Meat Research Center, Beijing 100068, China.
| | - Wenping Guo
- China Meat Research Center, Beijing 100068, China
| | - Yingying Li
- China Meat Research Center, Beijing 100068, China
| | - Rui Jiang
- China Meat Research Center, Beijing 100068, China
| | - Huichen Li
- China Meat Research Center, Beijing 100068, China
| | - Shouwei Wang
- China Meat Research Center, Beijing 100068, China.
| | - Zhigang Li
- AB SCIEX, Analytical Instrument Trading Co, Beijing 100015, China
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7
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Shinde R, Banerjee K. Determination of Highly Polar and Ionic Pesticides in Grape and Pomegranate Using Liquid Chromatography Tandem Mass Spectrometry. J AOAC Int 2022; 105:1341-1349. [DOI: 10.1093/jaoacint/qsac019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 02/04/2022] [Accepted: 02/05/2022] [Indexed: 11/13/2022]
Abstract
Abstract
Background
Residues of polar pesticides cannot be determined by QuEChERS-based multiresidue extractions because of their non-amenability to reverse-phase chromatographic separation and poor recoveries. On the other hand, single-residue methods pose limitations because of the various requirements of sample preparation and LC-MS/MS conditions. A new multiresidue method is thus warranted for rapid and simultaneous analysis of polar pesticides.
Objective
The study developed a multiresidue method for the simultaneous analysis of glyphosate and its metabolite (aminomethylphosphonic acid, AMPA), glufosinate and its metabolites (3-methylphosphinicopropionic acid and N-acetyl-glufosinate), ethephon, fosetyl-aluminum and its metabolite (phosphonic acid), and trimesium in grape and pomegranate by LC-MS/MS.
Method
The homogenized samples (10 g) were extracted with acidified methanol (20 mL). An aliquot of the extract was diluted with acetonitrile (1 + 1) and measured by LC-MS/MS using a Torus DEA column. The performance of a hydrophilic interaction liquid chromatography (HILIC) column and an “anionic polar pesticides” (APP) column was also evaluated.
Results
The method performance on the Torus DEA column was satisfactory for all compounds (recoveries = 77–104%, repeatability-RSD, <11%) at limit of quantification (LOQ) (0.01 mg/kg), and with higher levels in grape and pomegranate. The only exception was AMPA, which had an LOQ of 0.05 mg/kg. In the APP column, AMPA could be determined with an LOQ of 0.01 mg/kg. Trimesium, which had poor retention in Torus DEA, performed better in an XBridge HILIC column (retention time = 4.2 min, LOQ = 0.01 mg/kg). The inter-laboratory validation experiment yielded comparable results with high accuracy and precision.
Conclusions
The method could screen the residues of all compounds on a Torus DEA column. For AMPA and trimesium, the APP and XBridge HILIC columns provided superior method performances. Since isotopically labeled internal standards were not required, the method appeared cost-effective. Considering its compliance with the SANTE/12682/2019 validation guidelines and EU-MRLs, the method can be recommended for regulatory testing purposes.
Highlights
A high-throughput residue analysis method targeting nine polar and ionic compounds in grape and pomegranate involved a single multiresidue extraction, followed by direct analysis using LC-MS/MS. A satisfactory method performance was achieved through intra- and inter-laboratory validation. The method sensitivity met the EU-MRLs and the SANTE/12682/2019 analytical quality control criteria.
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Affiliation(s)
- Raviraj Shinde
- National Reference Laboratory, ICAR-National Research Centre for Grapes , P.O. Manjri Farm , Pune 412307, India
| | - Kaushik Banerjee
- National Reference Laboratory, ICAR-National Research Centre for Grapes , P.O. Manjri Farm , Pune 412307, India
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Na TW, Seo HJ, Jang SN, Kim H, Yun H, Kim H, Ahn J, Cho H, Hong SH, Kim HJ, Lee SH. Multi-residue analytical method for detecting pesticides, veterinary drugs, and mycotoxins in feed using liquid- and gas chromatography coupled with mass spectrometry. J Chromatogr A 2022; 1676:463257. [DOI: 10.1016/j.chroma.2022.463257] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2022] [Revised: 06/15/2022] [Accepted: 06/15/2022] [Indexed: 12/13/2022]
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Jang S, Seo H, Kim H, Kim H, Ahn J, Cho H, Hong S, Lee S, Na T. Development of a Quantitative Method for Detection of Multiclass Veterinary Drugs in Feed Using Modified QuPPe Extraction and LC–MS/MS. Molecules 2022; 27:molecules27144483. [PMID: 35889354 PMCID: PMC9318824 DOI: 10.3390/molecules27144483] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 07/08/2022] [Accepted: 07/12/2022] [Indexed: 12/02/2022] Open
Abstract
A method was developed for the rapid and quantitative analysis of 30 veterinary drugs belonging to 17 classes (amphenicols (1), anthelmintics (1), cephalosporins (4), coccidiostats (1), lincosamides (1), macrolide (1), nitroimidazole (1), penicillins (3), phenylhydrazines (1), polypeptides (1), pyrethrins (1), quinolones (5), sulfonamides (3), tetracycline (3), neuroleptic agents (1), triazene trypanocidal agents (1), other. (1)) in feeds. The proposed method with a modified Quick Polar Pesticides (QuPPe) sample preparation was validated for the determination of 30 veterinary drugs in feed samples by liquid chromatography triple-quadrupole mass spectrometry (LC–MS/MS). The sample was extracted with methanol containing 1% acetic acid and purified by dispersive solid-phase extraction (d-SPE) with C18. Good linearity (r2 ≥ 0.98) was observed, and the LOQ values ranged from 10 to 200 µg/kg. Average recoveries ranged from 70.8 to 118.4%, and the relative standard deviation was ≤ 18.7%. This validated method was used in the determination of 30 veterinary drugs in 142 feed samples obtained from South Korea. The results show that lincomycin was present in only one of the tested feed samples, although it was detected at a value lower than the LOQ. In conclusion, this multi-residue method can be used for screening through the detection and quantitation of residual multiclass veterinary drugs in feed samples.
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Affiliation(s)
- Sunyeong Jang
- Experiment Research Institute, National Agricultural Products Quality Management Service, Yongjeon-ro 141, Gimcheon-si 39660, Korea; (S.J.); (H.S.); (H.K.); (H.K.); (H.C.); (S.H.)
| | - Hyungju Seo
- Experiment Research Institute, National Agricultural Products Quality Management Service, Yongjeon-ro 141, Gimcheon-si 39660, Korea; (S.J.); (H.S.); (H.K.); (H.K.); (H.C.); (S.H.)
| | - Hojin Kim
- Experiment Research Institute, National Agricultural Products Quality Management Service, Yongjeon-ro 141, Gimcheon-si 39660, Korea; (S.J.); (H.S.); (H.K.); (H.K.); (H.C.); (S.H.)
| | - Hyoyoung Kim
- Experiment Research Institute, National Agricultural Products Quality Management Service, Yongjeon-ro 141, Gimcheon-si 39660, Korea; (S.J.); (H.S.); (H.K.); (H.K.); (H.C.); (S.H.)
| | - Jongsung Ahn
- National Agricultural Products Quality Management Service, Cheonnyeon-ro 1430, Yeonggwang-eup, Yeonggwang-gun 57049, Korea;
| | - Hyunjeong Cho
- Experiment Research Institute, National Agricultural Products Quality Management Service, Yongjeon-ro 141, Gimcheon-si 39660, Korea; (S.J.); (H.S.); (H.K.); (H.K.); (H.C.); (S.H.)
| | - Sunghie Hong
- Experiment Research Institute, National Agricultural Products Quality Management Service, Yongjeon-ro 141, Gimcheon-si 39660, Korea; (S.J.); (H.S.); (H.K.); (H.K.); (H.C.); (S.H.)
| | - Seunghwa Lee
- Experiment Research Institute, National Agricultural Products Quality Management Service, Yongjeon-ro 141, Gimcheon-si 39660, Korea; (S.J.); (H.S.); (H.K.); (H.K.); (H.C.); (S.H.)
- Correspondence: (S.L.); (T.N.); Tel.: +82-54-429-7819 (S.L.); +82-54-429-7813 (T.N.)
| | - Taewoong Na
- Experiment Research Institute, National Agricultural Products Quality Management Service, Yongjeon-ro 141, Gimcheon-si 39660, Korea; (S.J.); (H.S.); (H.K.); (H.K.); (H.C.); (S.H.)
- Correspondence: (S.L.); (T.N.); Tel.: +82-54-429-7819 (S.L.); +82-54-429-7813 (T.N.)
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Rani A, Pan SY, Chang CT. Carboxylic acid f‐MWCNT/graphite and Safranin O/graphite based voltammetric sensors for Norfloxacin detection. ELECTROANAL 2022. [DOI: 10.1002/elan.202100699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Shinde R, Pardeshi A, Dhanshetty M, Anastassiades M, Banerjee K. Development and validation of an analytical method for the multiresidue analysis of pesticides in sesame seeds using liquid- and gas chromatography with tandem mass spectrometry. J Chromatogr A 2021; 1652:462346. [PMID: 34186324 DOI: 10.1016/j.chroma.2021.462346] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 06/09/2021] [Accepted: 06/10/2021] [Indexed: 11/19/2022]
Abstract
For the first time, an analytical method for the multiresidue analysis of multiclass pesticides in sesame seeds using liquid- and gas chromatography with tandem mass spectrometry (LC-MS/MS and GC-MS/MS) was developed and validated. At first, the sample was comminuted after adding water (1:2 w/v). The sample preparation workflow included acetonitrile extraction, followed by freeze-out of the extract at -80°C with a subsequent cleanup by dispersive solid phase extraction (dSPE) (100 mg of C18 + 150 mg of MgSO4 for LC-MS/MS and 100 mg of C18 + 25 mg florisil + 150 mg of MgSO4 for GC-MS/MS). As noted, these cleanup steps were quite effective in removing the fatty co-extractives. The optimised sample preparation method effectively minimised the matrix effects and offered a limit of quantification (LOQ) of 0.01 mg/kg for most compounds. The LC-MS/MS and GC-MS/MS methods were validated at three levels (0.01, 0.02 and 0.05 mg/kg) for 222 and 220 compounds respectively. The method accuracy and precision complied with the performance criteria of the SANTE/12682/2019 analytical quality control procedure. The results of the intra-laboratory (involving six analysts) and inter-laboratory studies (involving eight accredited laboratories) were comparable for all pesticides. Considering its performance efficiency and alignment with the regulatory guidelines, this method can be implemented across the food testing laboratories for the monitoring of pesticide residues in sesame seeds.
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Affiliation(s)
- Raviraj Shinde
- National Reference Laboratory, ICAR-National Research Centre for Grapes, P.O. Manjri Farm, Pune 412 307, INDIA
| | - Anita Pardeshi
- National Reference Laboratory, ICAR-National Research Centre for Grapes, P.O. Manjri Farm, Pune 412 307, INDIA
| | - Manisha Dhanshetty
- National Reference Laboratory, ICAR-National Research Centre for Grapes, P.O. Manjri Farm, Pune 412 307, INDIA
| | | | - Kaushik Banerjee
- National Reference Laboratory, ICAR-National Research Centre for Grapes, P.O. Manjri Farm, Pune 412 307, INDIA.
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12
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Liu W, Su Y, Liu J, Zhang K, Wang X, Chen Y, Duan L, Shi F. Determination of cyflufenamid residues in 12 foodstuffs by QuEChERS-HPLC-MS/MS. Food Chem 2021; 362:130148. [PMID: 34098438 DOI: 10.1016/j.foodchem.2021.130148] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 04/19/2021] [Accepted: 05/16/2021] [Indexed: 11/18/2022]
Abstract
Agricultural products are often contaminated with trace amounts of pesticide residues. To ensure food safety, a reliable, sensitive, and efficient method that accurately identifies pesticide residues in a wide variety of foodstuffs is needed. This study applied a modified QuEChERS extraction technique, coupled with high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) to optimize the identification of the cyflufenamid, a new broad-spectrum fungicide with unclear mode of action in toxicity, in 12 foodstuffs. The method has been validated according to the European Union SANTE/12682/2017 guidelines for its linearity, limit of detection (LOD), and limit of quantification (LOQ), indicating an excellent performance. The recovery of cyfluenamid in all matrix were ranged between 70.8% and 117.8%, with relative standard deviation (RSD) <15% which is much lower compared to other methods. The method has been used for determine cyfluenamid in foodstuffs followed the ISO17025:2017 measurement technical note, which demonstrated it is suitable for routine quantitative analysis of cyflufenamid in most of the popular commercial agricultural products.
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Affiliation(s)
- Weiguo Liu
- College of Resources and Environment Science, Xinjiang University, Urumqi, China; Key Laboratory of Oasis Ecology, Ministry of Education, Xinjiang University, Urumqi, China
| | - Youzhi Su
- Technical Center of Yining Customs, Yining ,China; Department of Technology, Urumqi Customs, Urumqi, China
| | - Jun Liu
- Department of Technology, Urumqi Customs, Urumqi, China
| | - Kun Zhang
- College of Resources and Environment Science, Xinjiang University, Urumqi, China; Key Laboratory of Oasis Ecology, Ministry of Education, Xinjiang University, Urumqi, China
| | - XiYuan Wang
- College of Resources and Environment Science, Xinjiang University, Urumqi, China; Key Laboratory of Oasis Ecology, Ministry of Education, Xinjiang University, Urumqi, China
| | - Yinguang Chen
- College of Resources and Environment Science, Xinjiang University, Urumqi, China; School of Environment Science and Engineering, Tongji University, Shanghai, China.
| | - Luchun Duan
- Global Centre for Environmental Remediation, Faculty of Science, the University of Newcastle, Callaghan, NSW 2308, Australia
| | - Feng Shi
- Global Centre for Environmental Remediation, Faculty of Science, the University of Newcastle, Callaghan, NSW 2308, Australia
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Dias J, López SH, Mol H, de Kok A. Influence of different hydrophilic interaction liquid chromatography stationary phases on method performance for the determination of highly polar anionic pesticides in complex feed matrices. J Sep Sci 2021; 44:2165-2176. [PMID: 33760354 PMCID: PMC8251866 DOI: 10.1002/jssc.202001134] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 03/17/2021] [Accepted: 03/19/2021] [Indexed: 01/29/2023]
Abstract
Hydrophilic interaction liquid chromatography is an alternative liquid chromatography mode for separation of polar compounds. In the recent years, this liquid chromatography mode has been recognized as an important solution for the analysis of compounds not amenable to reverse phase chromatography. In this work, we evaluated three different hydrophilic liquid chromatography stationary phases for the determination of 14 highly polar anionic molecules including pesticides such as glyphosate, glufosinate, ethephon and fosetyl, their main metabolites, and bromide, chlorate, and perchlorate. Several mobile phase compositions were evaluated combined with different gradients for the chromatographic run. The two columns that presented the best results were used to assess the performance for the determination of the 14 compounds in challenging highly complex feed materials. Very different matrix effects were observed for most of the compounds in each column, suggesting that different interactions can occur. Using isotopically labeled internal standards, acceptable quantitative performance and identification could be achieved down to 0.02 mg kg-1 (the lowest level tested) for most compounds. While one column was found to be favorable in terms of scope (suited for all 14 compounds), the other one was more suited for quantification and identification at lower levels, however, not for all analytes tested.
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Affiliation(s)
- Jonatan Dias
- Wageningen Food Safety Research (WFSR), Wageningen University and Research, National Reference Laboratory for Pesticide Residues in Food and Feed, Wageningen, The Netherlands
| | - Sonia Herrera López
- Wageningen Food Safety Research (WFSR), Wageningen University and Research, National Reference Laboratory for Pesticide Residues in Food and Feed, Wageningen, The Netherlands
| | - Hans Mol
- Wageningen Food Safety Research (WFSR), Wageningen University and Research, National Reference Laboratory for Pesticide Residues in Food and Feed, Wageningen, The Netherlands
| | - André de Kok
- Wageningen Food Safety Research (WFSR), Wageningen University and Research, National Reference Laboratory for Pesticide Residues in Food and Feed, Wageningen, The Netherlands
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Yang Q, Ai X, Dong J, Liu Y, Zhou S, Yang Y, Xu N. A QuEChERS-HPLC-MS/MS Method with Matrix Matching Calibration Strategy for Determination of Imidacloprid and Its Metabolites in Procambarus clarkii (Crayfish) Tissues. Molecules 2021; 26:molecules26020274. [PMID: 33430495 PMCID: PMC7827598 DOI: 10.3390/molecules26020274] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 01/01/2021] [Accepted: 01/04/2021] [Indexed: 11/16/2022] Open
Abstract
We developed a method for determination of imidacloprid and its metabolites 5-hydroxy imidacloprid, olefin imidacloprid, imidacloprid urea and 6-chloronicotinic acid in Procambarus clarkii (crayfish) tissues using quick, easy, cheap, effective, rugged, and safe (QuEChERS) and high-performance liquid chromatography-triple quadrupole mass spectrometry. Samples (plasma, cephalothorax, hepatopancrea, gill, intestine, and muscle) were extracted with acetonitrile containing 0.1% acetic acid and cleaned up using a neutral alumina column containing a primary secondary amine. The prepared samples were separated using reverse phase chromatography and scanned in the positive and negative ion multiple reaction-monitoring modes. Under the optimum experimental conditions, spiked recoveries for these compounds in P. clarkii samples ranged from 80.6 to 112.7% with relative standard deviations of 4.2 to 12.6%. The limits of detection were 0.02-0.5 μg·L-1, the limits of quantification were 0.05-2.0 μg·L-1 and the method of quantification was 0.05-2.0 μg·kg-1. The method is rapid, simple, sensitive and suitable for rapid determination and analysis of imidacloprid and its metabolites in P. clarkii tissues.
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Affiliation(s)
- Qiuhong Yang
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan 430223, China; (J.D.); (Y.L.); (S.Z.); (Y.Y.); (N.X.)
- Correspondence: (Q.Y.); (X.A.)
| | - Xiaohui Ai
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan 430223, China; (J.D.); (Y.L.); (S.Z.); (Y.Y.); (N.X.)
- Chinese Academy of Fishery Sciences, Key Laboratory of Control of Quality and Safety for Aquatic Products, Ministry of Agriculture, Beijing 100141, China
- Correspondence: (Q.Y.); (X.A.)
| | - Jing Dong
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan 430223, China; (J.D.); (Y.L.); (S.Z.); (Y.Y.); (N.X.)
| | - Yongtao Liu
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan 430223, China; (J.D.); (Y.L.); (S.Z.); (Y.Y.); (N.X.)
- Chinese Academy of Fishery Sciences, Key Laboratory of Control of Quality and Safety for Aquatic Products, Ministry of Agriculture, Beijing 100141, China
| | - Shun Zhou
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan 430223, China; (J.D.); (Y.L.); (S.Z.); (Y.Y.); (N.X.)
| | - Yibin Yang
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan 430223, China; (J.D.); (Y.L.); (S.Z.); (Y.Y.); (N.X.)
| | - Ning Xu
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan 430223, China; (J.D.); (Y.L.); (S.Z.); (Y.Y.); (N.X.)
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15
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Yang J, Wang Y, Pan M, Xie X, Liu K, Hong L, Wang S. Synthesis of Magnetic Metal-Organic Frame Material and Its Application in Food Sample Preparation. Foods 2020; 9:E1610. [PMID: 33172006 PMCID: PMC7694616 DOI: 10.3390/foods9111610] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 10/30/2020] [Accepted: 11/03/2020] [Indexed: 12/15/2022] Open
Abstract
A variety of contaminants in food is an important aspect affecting food safety. Due to the presence of its trace amounts and the complexity of food matrix, it is very difficult to effectively separate and accurately detect them. The magnetic metal-organic framework (MMOF) composites with different structures and functions provide a new choice for the purification of food matrix and enrichment of trace targets, thus providing a new direction for the development of new technologies in food safety detection with high sensitivity and efficiency. The MOF materials composed of inorganic subunits and organic ligands have the advantages of regular pore structure, large specific surface area and good stability, which have been thoroughly studied in the pretreatment of complex food samples. MMOF materials combined different MOF materials with various magnetic nanoparticles, adding magnetic characteristics to the advantages of MOF materials, which are in terms of material selectivity, biocompatibility, easy operation and repeatability. Combined with solid phase extraction (SPE) technique, MMOF materials have been widely used in the food pretreatment. This article introduced the new preparation strategies of different MMOF materials, systematically summarizes their applications as SPE adsorbents in the pretreatment of food contaminants and analyzes and prospects their future application prospects and development directions.
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Affiliation(s)
- Jingying Yang
- State Key Laboratory of Food Nutrition and Safety, Tianjin University of Science and Technology, Tianjin 300457, China; (J.Y.); (Y.W.); (M.P.); (X.X.); (K.L.); (L.H.)
- Key Laboratory of Food Nutrition and Safety, Ministry of Education of China, Tianjin University of Science and Technology, Tianjin 300457, China
| | - Yabin Wang
- State Key Laboratory of Food Nutrition and Safety, Tianjin University of Science and Technology, Tianjin 300457, China; (J.Y.); (Y.W.); (M.P.); (X.X.); (K.L.); (L.H.)
- Key Laboratory of Food Nutrition and Safety, Ministry of Education of China, Tianjin University of Science and Technology, Tianjin 300457, China
| | - Mingfei Pan
- State Key Laboratory of Food Nutrition and Safety, Tianjin University of Science and Technology, Tianjin 300457, China; (J.Y.); (Y.W.); (M.P.); (X.X.); (K.L.); (L.H.)
- Key Laboratory of Food Nutrition and Safety, Ministry of Education of China, Tianjin University of Science and Technology, Tianjin 300457, China
| | - Xiaoqian Xie
- State Key Laboratory of Food Nutrition and Safety, Tianjin University of Science and Technology, Tianjin 300457, China; (J.Y.); (Y.W.); (M.P.); (X.X.); (K.L.); (L.H.)
- Key Laboratory of Food Nutrition and Safety, Ministry of Education of China, Tianjin University of Science and Technology, Tianjin 300457, China
| | - Kaixin Liu
- State Key Laboratory of Food Nutrition and Safety, Tianjin University of Science and Technology, Tianjin 300457, China; (J.Y.); (Y.W.); (M.P.); (X.X.); (K.L.); (L.H.)
- Key Laboratory of Food Nutrition and Safety, Ministry of Education of China, Tianjin University of Science and Technology, Tianjin 300457, China
| | - Liping Hong
- State Key Laboratory of Food Nutrition and Safety, Tianjin University of Science and Technology, Tianjin 300457, China; (J.Y.); (Y.W.); (M.P.); (X.X.); (K.L.); (L.H.)
- Key Laboratory of Food Nutrition and Safety, Ministry of Education of China, Tianjin University of Science and Technology, Tianjin 300457, China
| | - Shuo Wang
- State Key Laboratory of Food Nutrition and Safety, Tianjin University of Science and Technology, Tianjin 300457, China; (J.Y.); (Y.W.); (M.P.); (X.X.); (K.L.); (L.H.)
- Key Laboratory of Food Nutrition and Safety, Ministry of Education of China, Tianjin University of Science and Technology, Tianjin 300457, China
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16
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Xiong L, Pei J, Wu X, Liang C, Guo X, Bao P, Chu M, Yao X, Yan P. Multi-residue Determination of Bisphenol Compounds in Feed Using Ultrasound-Assisted Extraction and Dispersive Solid-Phase Extract Followed by High-Performance Liquid Chromatography with Fluorescence Detector. Chromatographia 2020. [DOI: 10.1007/s10337-020-03955-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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