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Analytical method development and validation for the quantification of metaldehyde in soil

Previously published methods for the analysis of metaldehyde were adapted for its reliable quantification in soil extracts. Varied methanol-water extraction solvents were trialed, but the use of pure methanol proved to be the most reliable approach for the scaled down methodology. Analysis of metald...

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Detalles Bibliográficos
Autores principales: Keighley, Nathan, Ramwell, Carmel, Werner, David, Sinclair, Chris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374715/
https://www.ncbi.nlm.nih.gov/pubmed/34434880
http://dx.doi.org/10.1016/j.mex.2021.101482
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author Keighley, Nathan
Ramwell, Carmel
Werner, David
Sinclair, Chris
author_facet Keighley, Nathan
Ramwell, Carmel
Werner, David
Sinclair, Chris
author_sort Keighley, Nathan
collection PubMed
description Previously published methods for the analysis of metaldehyde were adapted for its reliable quantification in soil extracts. Varied methanol-water extraction solvents were trialed, but the use of pure methanol proved to be the most reliable approach for the scaled down methodology. Analysis of metaldehyde was done using LC-MS. Initially the method had problems with matrix suppression of the signal. The method was therefore further developed to overcome this challenge to avoid the costs and time demands of laborious clean-up protocols. This modification to the method involved use of the BEH Phenyl column instead of the C(18) • We investigated the recovery of metaldehyde from spiked soil samples. • The optimized LC-MS method achieved acceptable metaldehyde recoveries (100–132%, 109% on average) for a range of soil types. • The optimized method was suitable for high through-put analyzes.
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spelling pubmed-83747152021-08-24 Analytical method development and validation for the quantification of metaldehyde in soil Keighley, Nathan Ramwell, Carmel Werner, David Sinclair, Chris MethodsX Method Article Previously published methods for the analysis of metaldehyde were adapted for its reliable quantification in soil extracts. Varied methanol-water extraction solvents were trialed, but the use of pure methanol proved to be the most reliable approach for the scaled down methodology. Analysis of metaldehyde was done using LC-MS. Initially the method had problems with matrix suppression of the signal. The method was therefore further developed to overcome this challenge to avoid the costs and time demands of laborious clean-up protocols. This modification to the method involved use of the BEH Phenyl column instead of the C(18) • We investigated the recovery of metaldehyde from spiked soil samples. • The optimized LC-MS method achieved acceptable metaldehyde recoveries (100–132%, 109% on average) for a range of soil types. • The optimized method was suitable for high through-put analyzes. Elsevier 2021-08-08 /pmc/articles/PMC8374715/ /pubmed/34434880 http://dx.doi.org/10.1016/j.mex.2021.101482 Text en © 2021 The Authors. Published by Elsevier B.V. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Method Article
Keighley, Nathan
Ramwell, Carmel
Werner, David
Sinclair, Chris
Analytical method development and validation for the quantification of metaldehyde in soil
title Analytical method development and validation for the quantification of metaldehyde in soil
title_full Analytical method development and validation for the quantification of metaldehyde in soil
title_fullStr Analytical method development and validation for the quantification of metaldehyde in soil
title_full_unstemmed Analytical method development and validation for the quantification of metaldehyde in soil
title_short Analytical method development and validation for the quantification of metaldehyde in soil
title_sort analytical method development and validation for the quantification of metaldehyde in soil
topic Method Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374715/
https://www.ncbi.nlm.nih.gov/pubmed/34434880
http://dx.doi.org/10.1016/j.mex.2021.101482
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