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Assessment of Co-Formulants in Marketed Plant Protection Products by LC-Q-Orbitrap-MS: Application of a Hybrid Data Treatment Strategy Combining Suspect Screening and Unknown Analysis
[Image: see text] The aim of this study was the determination of co-formulants in 15 different chlorantraniliprole- and difenoconazole-based plant protection products (PPPs) belonging to different formulations. Samples were analyzed by ultrahigh-performance liquid chromatography coupled to Q-Orbitra...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9204808/ https://www.ncbi.nlm.nih.gov/pubmed/35670466 http://dx.doi.org/10.1021/acs.jafc.2c01152 |
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author | Maldonado-Reina, Antonio Jesús López-Ruiz, Rosalía Romero-González, Roberto Martínez Vidal, José Luis Garrido-Frenich, Antonia |
author_facet | Maldonado-Reina, Antonio Jesús López-Ruiz, Rosalía Romero-González, Roberto Martínez Vidal, José Luis Garrido-Frenich, Antonia |
author_sort | Maldonado-Reina, Antonio Jesús |
collection | PubMed |
description | [Image: see text] The aim of this study was the determination of co-formulants in 15 different chlorantraniliprole- and difenoconazole-based plant protection products (PPPs) belonging to different formulations. Samples were analyzed by ultrahigh-performance liquid chromatography coupled to Q-Orbitrap high-resolution mass accuracy spectrometry (UHPLC-Q-Orbitrap-MS), operating in full-scan MS and data-dependent acquisition (ddMS(2)) modes. A total of 78 co-formulants were tentatively identified by a combination of suspect screening and unknown analysis. Nine of them were later confirmed by analytical standards. Finally, the analytical method was successfully validated and co-formulants were quantified. Linear alkyl ethoxylates (LAS) were the most common type of co-formulant, followed by sodium alkylbenzene sulfonates. Moreover, sodium dodecyl benzene sulfonate had the highest concentration of any co-formulant (up to 32.33 g/L). In all, an innovative identification of co-formulants in a large number of PPPs is presented, which will give room for future studies delving into the composition of PPPs or determining these co-formulants in environmental or agricultural samples. |
format | Online Article Text |
id | pubmed-9204808 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-92048082022-06-18 Assessment of Co-Formulants in Marketed Plant Protection Products by LC-Q-Orbitrap-MS: Application of a Hybrid Data Treatment Strategy Combining Suspect Screening and Unknown Analysis Maldonado-Reina, Antonio Jesús López-Ruiz, Rosalía Romero-González, Roberto Martínez Vidal, José Luis Garrido-Frenich, Antonia J Agric Food Chem [Image: see text] The aim of this study was the determination of co-formulants in 15 different chlorantraniliprole- and difenoconazole-based plant protection products (PPPs) belonging to different formulations. Samples were analyzed by ultrahigh-performance liquid chromatography coupled to Q-Orbitrap high-resolution mass accuracy spectrometry (UHPLC-Q-Orbitrap-MS), operating in full-scan MS and data-dependent acquisition (ddMS(2)) modes. A total of 78 co-formulants were tentatively identified by a combination of suspect screening and unknown analysis. Nine of them were later confirmed by analytical standards. Finally, the analytical method was successfully validated and co-formulants were quantified. Linear alkyl ethoxylates (LAS) were the most common type of co-formulant, followed by sodium alkylbenzene sulfonates. Moreover, sodium dodecyl benzene sulfonate had the highest concentration of any co-formulant (up to 32.33 g/L). In all, an innovative identification of co-formulants in a large number of PPPs is presented, which will give room for future studies delving into the composition of PPPs or determining these co-formulants in environmental or agricultural samples. American Chemical Society 2022-06-07 2022-06-15 /pmc/articles/PMC9204808/ /pubmed/35670466 http://dx.doi.org/10.1021/acs.jafc.2c01152 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Maldonado-Reina, Antonio Jesús López-Ruiz, Rosalía Romero-González, Roberto Martínez Vidal, José Luis Garrido-Frenich, Antonia Assessment of Co-Formulants in Marketed Plant Protection Products by LC-Q-Orbitrap-MS: Application of a Hybrid Data Treatment Strategy Combining Suspect Screening and Unknown Analysis |
title | Assessment of Co-Formulants in Marketed Plant Protection
Products by LC-Q-Orbitrap-MS: Application of a Hybrid Data Treatment
Strategy Combining Suspect Screening and Unknown Analysis |
title_full | Assessment of Co-Formulants in Marketed Plant Protection
Products by LC-Q-Orbitrap-MS: Application of a Hybrid Data Treatment
Strategy Combining Suspect Screening and Unknown Analysis |
title_fullStr | Assessment of Co-Formulants in Marketed Plant Protection
Products by LC-Q-Orbitrap-MS: Application of a Hybrid Data Treatment
Strategy Combining Suspect Screening and Unknown Analysis |
title_full_unstemmed | Assessment of Co-Formulants in Marketed Plant Protection
Products by LC-Q-Orbitrap-MS: Application of a Hybrid Data Treatment
Strategy Combining Suspect Screening and Unknown Analysis |
title_short | Assessment of Co-Formulants in Marketed Plant Protection
Products by LC-Q-Orbitrap-MS: Application of a Hybrid Data Treatment
Strategy Combining Suspect Screening and Unknown Analysis |
title_sort | assessment of co-formulants in marketed plant protection
products by lc-q-orbitrap-ms: application of a hybrid data treatment
strategy combining suspect screening and unknown analysis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9204808/ https://www.ncbi.nlm.nih.gov/pubmed/35670466 http://dx.doi.org/10.1021/acs.jafc.2c01152 |
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