Proposal of a new empirical model with flow velocity to improve time-weighted average concentration estimates from the Polar Organic Chemical Integrative Samplers.

Accuracy Calibration Kinetic model Passive sampling Pesticides Sampling rates

Journal

Chemosphere
ISSN: 1879-1298
Titre abrégé: Chemosphere
Pays: England
ID NLM: 0320657

Informations de publication

Date de publication:
28 Dec 2023
Historique:
received: 31 07 2023
revised: 20 12 2023
accepted: 27 12 2023
medline: 2 1 2024
pubmed: 2 1 2024
entrez: 30 12 2023
Statut: aheadofprint

Résumé

It is now widely recognized that the sampling rate of Polar Organic Chemical Integrative Samplers (POCIS) is significantly affected by flow velocity, which can cause a consequent bias when determining time-weighted average concentrations (TWAC). We already observed the desorption of deisopropylatrazine (DIA) over time when added to the receiving phase of a POCIS. This desorption rate was particularly influenced by flow velocity, in an agitated water environment in situ. In the method presented here, we calibrated 30 pesticides under controlled laboratory conditions, varying the flow velocity over four levels. We simultaneously studied the desorption rate of DIA-d5 (a deuterated form of DIA) over time. An empirical model based on a power law involving flow velocity was used to process the information from the accumulation kinetics of the compounds of interest and elimination of DIA-d5. This type of model makes it possible to consider the effect of this crucial factor on exchange kinetics, and then to obtain more accurate TWACs with reduced bias and more acceptable dispersion of results.

Identifiants

pubmed: 38159734
pii: S0045-6535(23)03332-5
doi: 10.1016/j.chemosphere.2023.141062
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

141062

Informations de copyright

Copyright © 2023. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Nicolas Mazzella (N)

INRAE, UR EABX, 50 Avenue de Verdun, 33612 Cestas, France. Electronic address: nicolas.mazzella@inrae.fr.

Marion Bernard (M)

INRAE, UR EABX, 50 Avenue de Verdun, 33612 Cestas, France.

Robin Guibal (R)

Université de Limoges, E2Lim, 123 Avenue Albert Thomas, Limoges, Cedex 87060, France.

Sebastien Boutry (S)

INRAE, UR EABX, 50 Avenue de Verdun, 33612 Cestas, France.

Sophie Lissalde (S)

Université de Limoges, E2Lim, 123 Avenue Albert Thomas, Limoges, Cedex 87060, France.

Gilles Guibaud (G)

Université de Limoges, E2Lim, 123 Avenue Albert Thomas, Limoges, Cedex 87060, France.

Classifications MeSH