TY - JOUR
T1 - Analytical Method for Detecting Herbicides, Plant Growth Regulators, and Fungicides in Agricultural Commodities
T2 - Single-Laboratory Validation
AU - Dhanshetty, Manisha
AU - Garcia-Vaquero, Marco
AU - Shinde, Raviraj Chandrakant
AU - Mali, Gajanan
AU - Shiragave, Pandit
AU - Atugade, Sagar
N1 - Publisher Copyright:
© The Author(s) 2026. Published by Oxford University Press on behalf of AOAC INTERNATIONAL. All rights reserved. For commercial re-use, please contact [email protected] for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact [email protected]. This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/pages/standard-publication-reuse-rights)
PY - 2026/9/1
Y1 - 2026/9/1
N2 - Background: Pesticide residue analysis is a critical component of food safety monitoring. While multiresidue methods based on LC– or GC–MS are widely available, the analysis of highly polar or ionic pesticides remains challenging due to poor chromatographic retention, low recoveries, and repeatability. Objective: This study aimed to develop a simple, rapid, and robust analytical method for the determination of highly polar or ionic pesticides and their metabolites in selected agricultural commodities. Methods: The method targets herbicides, including glyphosate, aminomethylphosphonic acid, glufosinate, 3-methylphosphinicopropionic acid, and N-acetyl-glufosinate, the plant growth regulator ethephon, and a fungicide, fosetyl-Al, and its metabolite phosphonic acid. Sample preparation involved acidified methanolic extraction without cleanup or derivatization. Analysis was performed using LC coupled with tandem mass spectrometry (MS/MS). Chromatographic conditions were optimized to achieve baseline separation of all target analytes. Results: The method demonstrated satisfactory performance across fruit matrixes including apple, orange, tomato, cucumber, watermelon, and strawberry. Recoveries ranged from 79 to 103%, with precision values below 13% at all levels tested. The method achieved low matrix effects and met the maximum residue levels established for the target analytes in the respective commodities. Conclusion: The developed method provides a reliable and efficient approach for the analysis of highly polar pesticides and their metabolites in agricultural commodities, addressing limitations associated with conventional multiresidue methods. Highlights: An analytical method was developed for the determination of highly polar and ionic pesticides that are traditionally challenging to analyze. The method employs a simple sample preparation approach, enabling higher analytical throughput. Validation results demonstrated satisfactory performance as per the the analytical quality control requirements outlined in the SANTE/11312/2021 (V2) guidelines. The method complies with national (FSSAI) as well as international (EU) maximum residue limits.
AB - Background: Pesticide residue analysis is a critical component of food safety monitoring. While multiresidue methods based on LC– or GC–MS are widely available, the analysis of highly polar or ionic pesticides remains challenging due to poor chromatographic retention, low recoveries, and repeatability. Objective: This study aimed to develop a simple, rapid, and robust analytical method for the determination of highly polar or ionic pesticides and their metabolites in selected agricultural commodities. Methods: The method targets herbicides, including glyphosate, aminomethylphosphonic acid, glufosinate, 3-methylphosphinicopropionic acid, and N-acetyl-glufosinate, the plant growth regulator ethephon, and a fungicide, fosetyl-Al, and its metabolite phosphonic acid. Sample preparation involved acidified methanolic extraction without cleanup or derivatization. Analysis was performed using LC coupled with tandem mass spectrometry (MS/MS). Chromatographic conditions were optimized to achieve baseline separation of all target analytes. Results: The method demonstrated satisfactory performance across fruit matrixes including apple, orange, tomato, cucumber, watermelon, and strawberry. Recoveries ranged from 79 to 103%, with precision values below 13% at all levels tested. The method achieved low matrix effects and met the maximum residue levels established for the target analytes in the respective commodities. Conclusion: The developed method provides a reliable and efficient approach for the analysis of highly polar pesticides and their metabolites in agricultural commodities, addressing limitations associated with conventional multiresidue methods. Highlights: An analytical method was developed for the determination of highly polar and ionic pesticides that are traditionally challenging to analyze. The method employs a simple sample preparation approach, enabling higher analytical throughput. Validation results demonstrated satisfactory performance as per the the analytical quality control requirements outlined in the SANTE/11312/2021 (V2) guidelines. The method complies with national (FSSAI) as well as international (EU) maximum residue limits.
UR - https://www.scopus.com/pages/publications/105049555203
U2 - 10.1093/jaoacint/qsag016
DO - 10.1093/jaoacint/qsag016
M3 - Article
C2 - 41854246
AN - SCOPUS:105049555203
SN - 1060-3271
VL - 109
SP - 688
EP - 694
JO - Journal of AOAC International
JF - Journal of AOAC International
IS - 5
ER -