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Determination of trimethoprim in milk, water and plasma using protein precipitation combined with liquid phase microextraction method. J Food Compost Anal 2023. [DOI: 10.1016/j.jfca.2023.105224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2023]
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Melekhin AO, Tolmacheva VV, Goncharov NO, Apyari VV, Dmitrienko SG, Shubina EG, Grudev AI. Multi-class, multi-residue determination of 132 veterinary drugs in milk by magnetic solid-phase extraction based on magnetic hypercrosslinked polystyrene prior to their determination by high-performance liquid chromatography-tandem mass spectrometry. Food Chem 2022; 387:132866. [PMID: 35397265 DOI: 10.1016/j.foodchem.2022.132866] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 03/28/2022] [Accepted: 03/29/2022] [Indexed: 11/25/2022]
Abstract
A quantitative multi-class multi-residue analytical method was developed for the determination of veterinary drugs in milk by high-performance liquid chromatography - tandem mass spectrometry (HPLC-MS/MS). A total of 132 veterinary drugs investigated belonged to almost 15 classes including sulfonamides, β-lactams, tetracyclines, quinolones, macrolides, nitrofurans, nitroimidazoles, phenicols, lincosamides, pleuromutilins, macrocyclic lactones, quinoxaline antibiotics, benzimidazoles, anthelmintics, coccidiostats and some others. A magnetic solid-phase extraction procedure was developed using magnetic hypercrosslinked polystyrene (HCP/Fe3O4) for the sample preparation prior to HPLC-MS/MS without deproteinization step. The results indicated recoveries of 85-107% for 14 sulfonamides, 85-120% for 13 β-lactams, 89-115% for 4 tetracyclines, 82-119% for 14 quinolones, 82-115% for 8 macrolides, 97-109% for 4 nitrofurans, 84-115% for 10 nitroimidazoles, 89-114% for 3 phenicols, 86-111% for 3 lincosamides, 97-102% for 2 pleuromutilins, 72-88% for 4 macrocyclic lactones, 87-104% for 4 quinoxaline antibiotics, 76-119% for 21 benzimidazoles, 79-115% for 12 anthelmintics, 81-118% for 12 coccidiostats and 75-119 % for 5 unclassified drugs, with relative standard deviations (RSDs) of less than 20%, and the LOQs ranged from 0.05 to 1 μg kg-1. This methodology was then applied to field-collected real milk samples and trace levels of some veterinary drugs were detected.
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Affiliation(s)
- A O Melekhin
- Department of Chemistry, Lomonosov Moscow State University, Leninskie gory, 1/3, 119991 Moscow, Russia; Central Scientific Methodological Veterinary Laboratory, Orangereynaya st., 23, 111622 Moscow, Russia
| | - V V Tolmacheva
- Department of Chemistry, Lomonosov Moscow State University, Leninskie gory, 1/3, 119991 Moscow, Russia
| | - N O Goncharov
- Department of Chemistry, Lomonosov Moscow State University, Leninskie gory, 1/3, 119991 Moscow, Russia
| | - V V Apyari
- Department of Chemistry, Lomonosov Moscow State University, Leninskie gory, 1/3, 119991 Moscow, Russia.
| | - S G Dmitrienko
- Department of Chemistry, Lomonosov Moscow State University, Leninskie gory, 1/3, 119991 Moscow, Russia
| | - E G Shubina
- Central Scientific Methodological Veterinary Laboratory, Orangereynaya st., 23, 111622 Moscow, Russia
| | - A I Grudev
- Central Scientific Methodological Veterinary Laboratory, Orangereynaya st., 23, 111622 Moscow, Russia
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Melekhin AO, Tolmacheva VV, Shubina EG, Dmitrienko SG, Apyari VV, Grudev AI. Using Hypercrosslinked Polystyrene for the Multicomponent Solid-Phase Extraction of Residues of 63 Veterinary Preparations in Their Determination in Chicken Meat by High-Performance Liquid Chromatography–Tandem Mass Spectrometry. JOURNAL OF ANALYTICAL CHEMISTRY 2021. [DOI: 10.1134/s1061934821060046] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Bongers IEA, van de Schans MGM, Nibbeling CVM, Elbers IJW, Berendsen BJA, Zuidema T. A single method to analyse residues from five different classes of prohibited pharmacologically active substances in milk. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2021; 38:1717-1734. [PMID: 34237239 DOI: 10.1080/19440049.2021.1944674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
In the European Union, the use of veterinary drugs belonging to the A6 group is prohibited in food-producing animals according to Commission Regulation (EU) No. 2010/37. The aim of this study was to improve the analytical control strategy by developing a single method to analyse residues of prohibited pharmacologically active substances in milk. For this, a single method was developed to analyse 16 prohibited pharmacologically active substances belonging to five different substance classes at required or recommended levels: nitroimidazoles at 3 μg kg-1, nitrofurans at 0.5 μg kg-1, chloramphenicol at 0.1 μg kg-1, dapsone at 5 μg kg-1 and chlorpromazine at 1 μg kg-1. Milk sample preparation started with an acid hydrolysis combined with a derivatisation. These steps were followed by a clean-up consisting of a dispersive solid-phase extraction and a liquid-liquid extraction. Finally, the sample extracts were analysed by liquid chromatography combined with tandem mass spectrometry, operating alternately in the positive and negative mode. The method was fully validated according to Commission Decision 2002/657/EC for bovine milk and additionally validated for caprine milk. The validation proved that the method is highly effective to detect and confirm all 16 substances in bovine and caprine milk and, additionally to quantify 15 of these substances in bovine milk and 13 of these substances in caprine milk. This study resulted in a new multi-class method to detect, quantify and confirm the identity of 16 prohibited pharmacologically active substances belonging to five different substance classes in two types of milk.
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Affiliation(s)
- Irma E A Bongers
- Wageningen Food Safety Research (WFSR), Wageningen University & Research, Wageningen, The Netherlands
| | - Milou G M van de Schans
- Wageningen Food Safety Research (WFSR), Wageningen University & Research, Wageningen, The Netherlands
| | - Coen V M Nibbeling
- Wageningen Food Safety Research (WFSR), Wageningen University & Research, Wageningen, The Netherlands
| | - Ingrid J W Elbers
- Wageningen Food Safety Research (WFSR), Wageningen University & Research, Wageningen, The Netherlands
| | - Bjorn J A Berendsen
- Wageningen Food Safety Research (WFSR), Wageningen University & Research, Wageningen, The Netherlands
| | - Tina Zuidema
- Wageningen Food Safety Research (WFSR), Wageningen University & Research, Wageningen, The Netherlands
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Ji B, Zhao W, Xu X, Han Y, Jie M, Xu G, Bai Y. Development of a modified quick, easy, cheap, effective, rugged, and safe method based on melamine sponge for multi-residue analysis of veterinary drugs in milks by ultra-performance liquid chromatography tandem mass spectrometry. J Chromatogr A 2021; 1651:462333. [PMID: 34161835 DOI: 10.1016/j.chroma.2021.462333] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 06/01/2021] [Accepted: 06/06/2021] [Indexed: 10/21/2022]
Abstract
The purpose of this study was to develop a modified QuEChERS method based on melamine sponge for rapid determination of multi-class veterinary drugs in milks by UPLC-MS/MS. Through simple infiltration and extrusion, fast and convenient matrix purification could be achieved within several seconds, and there was no need of extra phase separation operations. Good linearity with correlation coefficient (R2) ≥0.999 was obtained for all drugs in the range of 2~500 µg·kg-1. The obtained matrix effects were within ±20% for all monitored drugs. The recoveries of all monitored drugs ranged from 60.7% to 116.0% at three spiked levels (50, 100, and 200 µg·kg-1), with relative standard deviations less than 7.4%. Comparatively low LODs and LOQs were obtained in the ranges of 0.1~3.8 µg·kg-1 and 0.2~6.3 µg·kg-1, respectively. Compared with conventional purification adsorbents, melamine sponge yielded an equal or higher purification performance with matrix removal rate as high as 52.5% and acceptable recoveries in range of 60%-120% for all monitored drugs. The satisfactory results have demonstrated the good potential of melamine sponge in matrix purification for rapid determination of multiclass residues in food safety.
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Affiliation(s)
- Baocheng Ji
- College of Food and Biological Engineering, Zhengzhou University of Light Industry, Zhengzhou, PR China; Henan Key Laboratory of Cold Chain Quality and Safety Control, Zhengzhou, PR China; Collsborative Innovation Center of Food Production and Safety, Henan Province, PR China
| | - Wenhao Zhao
- College of Food and Biological Engineering, Zhengzhou University of Light Industry, Zhengzhou, PR China; Henan Key Laboratory of Cold Chain Quality and Safety Control, Zhengzhou, PR China; Collsborative Innovation Center of Food Production and Safety, Henan Province, PR China
| | - Xu Xu
- College of Food and Biological Engineering, Zhengzhou University of Light Industry, Zhengzhou, PR China; Henan Key Laboratory of Cold Chain Quality and Safety Control, Zhengzhou, PR China; Collsborative Innovation Center of Food Production and Safety, Henan Province, PR China
| | - Yu Han
- College of Food and Biological Engineering, Zhengzhou University of Light Industry, Zhengzhou, PR China; Henan Key Laboratory of Cold Chain Quality and Safety Control, Zhengzhou, PR China; Collsborative Innovation Center of Food Production and Safety, Henan Province, PR China
| | - Mingsha Jie
- College of Food and Biological Engineering, Zhengzhou University of Light Industry, Zhengzhou, PR China; Henan Key Laboratory of Cold Chain Quality and Safety Control, Zhengzhou, PR China; Collsborative Innovation Center of Food Production and Safety, Henan Province, PR China
| | - Gaigai Xu
- College of Food and Biological Engineering, Zhengzhou University of Light Industry, Zhengzhou, PR China
| | - Yanhong Bai
- College of Food and Biological Engineering, Zhengzhou University of Light Industry, Zhengzhou, PR China; Henan Key Laboratory of Cold Chain Quality and Safety Control, Zhengzhou, PR China; Collsborative Innovation Center of Food Production and Safety, Henan Province, PR China.
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Hussain A, Pu H, Hu B, Sun DW. Au@Ag-TGANPs based SERS for facile screening of thiabendazole and ferbam in liquid milk. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2021; 245:118908. [PMID: 32949944 DOI: 10.1016/j.saa.2020.118908] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Revised: 08/21/2020] [Accepted: 08/29/2020] [Indexed: 06/11/2023]
Abstract
Surface-enhanced Raman spectroscopy based on thioglycolic acid (TGA) functionalized silver-coated gold nanoparticles (Au@Ag-TGANPs) was developed for the facile screening of thiabendazole (TBZ) and ferbam (0.025-10 ppm) in liquid milk for the first time. Results showed that silver-coated gold nanoparticles (Au@AgNPs) with a core size of 32 nm and a shell thickness of 5 nm was successfully modified with 3 nm TGA. The sensitive Au@Ag-TGANPs could enhance TBZ and ferbam signals by factors of 6.4 × 104 and 9.8 × 104, respectively, and achieved the detection of TBZ and ferbam with limits of detection of 0.12 and 0.003 ppm, R2 of 0.988 and 0.9821, percent recoveries of 88-103% and of 87.2-103.5%, and relative standard deviations of 4.1-9.2% and 3.5-8.3%, respectively. The current simple and green method could thus be used to detect other unsafe chemicals in future studies.
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Affiliation(s)
- Abid Hussain
- School of Food Science and Engineering, South China University of Technology, Guangzhou 510641, China; Academy of Contemporary Food Engineering, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510006, China; Engineering and Technological Research Centre of Guangdong Province on Intelligent Sensing and Process Control of Cold Chain Foods, & Guangdong Province Engineering Laboratory for Intelligent Cold Chain Logistics Equipment for Agricultural Products, Guangzhou Higher Education Mega Centre, Guangzhou 510006, China
| | - Hongbin Pu
- School of Food Science and Engineering, South China University of Technology, Guangzhou 510641, China; Academy of Contemporary Food Engineering, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510006, China; Engineering and Technological Research Centre of Guangdong Province on Intelligent Sensing and Process Control of Cold Chain Foods, & Guangdong Province Engineering Laboratory for Intelligent Cold Chain Logistics Equipment for Agricultural Products, Guangzhou Higher Education Mega Centre, Guangzhou 510006, China
| | - Bingxue Hu
- School of Food Science and Engineering, South China University of Technology, Guangzhou 510641, China; Academy of Contemporary Food Engineering, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510006, China; Engineering and Technological Research Centre of Guangdong Province on Intelligent Sensing and Process Control of Cold Chain Foods, & Guangdong Province Engineering Laboratory for Intelligent Cold Chain Logistics Equipment for Agricultural Products, Guangzhou Higher Education Mega Centre, Guangzhou 510006, China
| | - Da-Wen Sun
- School of Food Science and Engineering, South China University of Technology, Guangzhou 510641, China; Academy of Contemporary Food Engineering, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510006, China; Engineering and Technological Research Centre of Guangdong Province on Intelligent Sensing and Process Control of Cold Chain Foods, & Guangdong Province Engineering Laboratory for Intelligent Cold Chain Logistics Equipment for Agricultural Products, Guangzhou Higher Education Mega Centre, Guangzhou 510006, China; Food Refrigeration and Computerized Food Technology (FRCFT), Agriculture and Food Science Centre, University College Dublin, National University of Ireland, Belfield, Dublin 4, Ireland.
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Amelin VG, Bol’shakov DS. Rapid Determination of Aminoglycosides in Milk by Exact Ion Masses Using Ultra-High-Performance Liquid Chromatography–High Resolution Quadrupole Time-of-Flight Mass Spectrometry. JOURNAL OF ANALYTICAL CHEMISTRY 2019. [DOI: 10.1134/s1061934819090156] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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