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Determination of 73 multi-class pesticides in okra (Abelmoschus esculentus L.) fruits using LC–MS/MS and GC–MS/MS and estimation of analytical uncertainty of measurement
This study developed a method to simultaneously determine 73 multi-class pesticides in okra fruit using LC-MS/MS and GC–MS/MS. The sample was extracted with acetonitrile and subsequent clean-up through dispersive-SPE method. The quantification level of the technique was 0.01 µg g(−1) and compliance...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10534163/ https://www.ncbi.nlm.nih.gov/pubmed/37780267 http://dx.doi.org/10.1016/j.fochx.2023.100814 |
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author | Pallavi, M.S. Harischandra Naik, R. Pavankumar, K. Ratnamma Nandini Shwetha, A. Naveenkumar, P. Paramasivam, M. Udaykumar Nidoni, R. Prabhuraj, A. Bheemanna, M. |
author_facet | Pallavi, M.S. Harischandra Naik, R. Pavankumar, K. Ratnamma Nandini Shwetha, A. Naveenkumar, P. Paramasivam, M. Udaykumar Nidoni, R. Prabhuraj, A. Bheemanna, M. |
author_sort | Pallavi, M.S. |
collection | PubMed |
description | This study developed a method to simultaneously determine 73 multi-class pesticides in okra fruit using LC-MS/MS and GC–MS/MS. The sample was extracted with acetonitrile and subsequent clean-up through dispersive-SPE method. The quantification level of the technique was 0.01 µg g(−1) and compliance to the MRLs fixed by the regulatory bodies like EU and FSSAI. The recovery at 10, 50, and 100 µg kg(−1) spiked levels; intra and inter-day precision at 50 µg kg(−1) were found within 70–120% with RSD less than 15% with LC-MS/MS and GC–MS/MS. Measurement uncertainty was in the range of 1.81 to 12.91 µg kg(−1) estimated at 50 µg kg(−1). The matrix effects were slightly higher for LC than GC-compatible pesticides. Risk assessment for pesticides detected in the field and market samples found no hazardous to the consumers except profenofos. The proposed method is highly sensitive, reproducible for the complex matrix like okra, and meets the regulatory standards. |
format | Online Article Text |
id | pubmed-10534163 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-105341632023-09-29 Determination of 73 multi-class pesticides in okra (Abelmoschus esculentus L.) fruits using LC–MS/MS and GC–MS/MS and estimation of analytical uncertainty of measurement Pallavi, M.S. Harischandra Naik, R. Pavankumar, K. Ratnamma Nandini Shwetha, A. Naveenkumar, P. Paramasivam, M. Udaykumar Nidoni, R. Prabhuraj, A. Bheemanna, M. Food Chem X Research Article This study developed a method to simultaneously determine 73 multi-class pesticides in okra fruit using LC-MS/MS and GC–MS/MS. The sample was extracted with acetonitrile and subsequent clean-up through dispersive-SPE method. The quantification level of the technique was 0.01 µg g(−1) and compliance to the MRLs fixed by the regulatory bodies like EU and FSSAI. The recovery at 10, 50, and 100 µg kg(−1) spiked levels; intra and inter-day precision at 50 µg kg(−1) were found within 70–120% with RSD less than 15% with LC-MS/MS and GC–MS/MS. Measurement uncertainty was in the range of 1.81 to 12.91 µg kg(−1) estimated at 50 µg kg(−1). The matrix effects were slightly higher for LC than GC-compatible pesticides. Risk assessment for pesticides detected in the field and market samples found no hazardous to the consumers except profenofos. The proposed method is highly sensitive, reproducible for the complex matrix like okra, and meets the regulatory standards. Elsevier 2023-08-22 /pmc/articles/PMC10534163/ /pubmed/37780267 http://dx.doi.org/10.1016/j.fochx.2023.100814 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Pallavi, M.S. Harischandra Naik, R. Pavankumar, K. Ratnamma Nandini Shwetha, A. Naveenkumar, P. Paramasivam, M. Udaykumar Nidoni, R. Prabhuraj, A. Bheemanna, M. Determination of 73 multi-class pesticides in okra (Abelmoschus esculentus L.) fruits using LC–MS/MS and GC–MS/MS and estimation of analytical uncertainty of measurement |
title | Determination of 73 multi-class pesticides in okra (Abelmoschus esculentus L.) fruits using LC–MS/MS and GC–MS/MS and estimation of analytical uncertainty of measurement |
title_full | Determination of 73 multi-class pesticides in okra (Abelmoschus esculentus L.) fruits using LC–MS/MS and GC–MS/MS and estimation of analytical uncertainty of measurement |
title_fullStr | Determination of 73 multi-class pesticides in okra (Abelmoschus esculentus L.) fruits using LC–MS/MS and GC–MS/MS and estimation of analytical uncertainty of measurement |
title_full_unstemmed | Determination of 73 multi-class pesticides in okra (Abelmoschus esculentus L.) fruits using LC–MS/MS and GC–MS/MS and estimation of analytical uncertainty of measurement |
title_short | Determination of 73 multi-class pesticides in okra (Abelmoschus esculentus L.) fruits using LC–MS/MS and GC–MS/MS and estimation of analytical uncertainty of measurement |
title_sort | determination of 73 multi-class pesticides in okra (abelmoschus esculentus l.) fruits using lc–ms/ms and gc–ms/ms and estimation of analytical uncertainty of measurement |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10534163/ https://www.ncbi.nlm.nih.gov/pubmed/37780267 http://dx.doi.org/10.1016/j.fochx.2023.100814 |
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