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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...

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Autores principales: Pallavi, M.S., Harischandra Naik, R., Pavankumar, K., Ratnamma, Nandini, Shwetha, A., Naveenkumar, P., Paramasivam, M., Udaykumar Nidoni, R., Prabhuraj, A., Bheemanna, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
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.
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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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