A unified approach for high-throughput quantitative analysis of the residues of multi-class veterinary drugs and pesticides in bovine milk using LC-MS/MS and GC-MS/MS
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Title |
A unified approach for high-throughput quantitative analysis of the residues of multi-class veterinary drugs and pesticides in bovine milk using LC-MS/MS and GC-MS/MS
Not Available |
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Creator |
Jadhav M., Pudale A., Raut P., Utture S., Shabeer A.T.P., Kaushik Banerjee
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Subject |
Veterinary drugs
Pesticide residue GC-MS/MS LC-MS/MS Bovine milk |
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Description |
Not Available
This paper reports a unified sample preparation approach for high-throughput multi-residue analysis of veterinary drugs and pesticides in a single sub-sample of bovine milk. The sample (5 g) was deproteinized with acetonitrile before an aliquot (I) was withdrawn, and the remainder was phase-separated using MgSO4 and NaCl. The acetonitrile layer (II) was recovered and the extracts combined, cleaned, and solvent-exchanged before the concentrations of veterinary drugs and pesticides were measured by ultra-fast liquid chromatography tandem mass spectrometry (UFLC-MS/MS). As a unique approach, extract II was analyzed simultaneously using gas chromatography tandem mass spectrometry (GC–MS/MS). Method performance for 78 drugs and 238 pesticides complied with CD 2002/657/EC and SANTE/11813/2017 guidelines, respectively, with significant savings in time and cost. Thus, it would be ideal for regulatory analysis of analytes ranging from non-polar organochlorine pesticides to polar drugs, including penicillins, quinolones, and tetracyclines. Not Available |
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Date |
2020-07-31T06:25:34Z
2020-07-31T06:25:34Z 2018-08-09 |
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Type |
Journal
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Identifier |
Jadhav M., Pudale A., Raut P., Utture S., Shabeer A.T.P., Kaushik Banerjee (2019). A unified approach for high-throughput quantitative analysis of the residues of multi-class veterinary drugs and pesticides in bovine milk using LC-MS/MS and GC-MS/MS. Food Chemistry, 272: 292-305
https://www.sciencedirect.com/science/article/abs/pii/S0308814618314341 http://krishi.icar.gov.in/jspui/handle/123456789/38650 |
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Language |
English
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Relation |
Not Available;
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Publisher |
Elsevier
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