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Evaluating non-targeted analysis methods for chemical characterization of organic contaminants in different matrices to estimate children’s exposure

BACKGROUND: Children are vulnerable to environmental exposure of contaminants due to their small size, lack of judgement skills, as well as their proximity to dust, soil, and other environmental sources. A better understanding about the types of contaminants that children are exposed to or how their...

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Autores principales: Cui, Danni, Cox, Joseph, Mejias, Emily, Ng, Brian, Gardinali, Piero, Bagner, Daniel M., Quinete, Natalia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10148696/
https://www.ncbi.nlm.nih.gov/pubmed/37120701
http://dx.doi.org/10.1038/s41370-023-00547-9
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author Cui, Danni
Cox, Joseph
Mejias, Emily
Ng, Brian
Gardinali, Piero
Bagner, Daniel M.
Quinete, Natalia
author_facet Cui, Danni
Cox, Joseph
Mejias, Emily
Ng, Brian
Gardinali, Piero
Bagner, Daniel M.
Quinete, Natalia
author_sort Cui, Danni
collection PubMed
description BACKGROUND: Children are vulnerable to environmental exposure of contaminants due to their small size, lack of judgement skills, as well as their proximity to dust, soil, and other environmental sources. A better understanding about the types of contaminants that children are exposed to or how their bodies retain or process these compounds is needed. OBJECTIVE: In this study, we have implemented and optimized a methodology based on non-targeted analysis (NTA) to characterize chemicals in dust, soil, urine, and in the diet (food and drinking water) of infant populations. METHODS: To evaluate potential toxicological concerns associated with chemical exposure, families with children between 6 months and 6 years of age from underrepresented groups were recruited in the greater Miami area. Samples of soil, indoor dust, food, water, and urine were provided by the caregivers, prepared by different techniques (involving online SPE, ASE, USE, QuEChERs), and analyzed by liquid chromatography-high resolution mass spectrometry (LC-HRMS). Data post-processing was performed using the small molecule structure identification software, Compound Discoverer (CD) 3.3, and identified features were plotted using Kendrick mass defect plot and Van Krevelen diagrams to show unique patterns in different samples and regions of anthropogenic compound classifications. RESULTS: The performance of the NTA workflow was evaluated using quality control standards in terms of accuracy, precision, selectivity, and sensitivity, with an average of 98.2%, 20.3%, 98.4% and 71.1%, respectively. Sample preparation was successfully optimized for soil, dust, water, food, and urine. A total of 30, 78, 103, 20 and 265 annotated features were frequently identified (detection frequency >80%) in the food, dust, soil, water, and urine samples, respectively. Common features detected in each matrix were prioritized and classified, providing insight on children’s exposure to organic contaminants of concern and their potential toxicities. IMPACT STATEMENT: Current methods to assess the ingestion of chemicals by children have limitations and are generally restricted by specific classes of targeted organic contaminants of interest. This study offers an innovative approach using non-targeted analysis for the comprehensive screening of organic contaminants that children are exposed to through dust, soil, and diet (drinking water and food).
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spelling pubmed-101486962023-05-01 Evaluating non-targeted analysis methods for chemical characterization of organic contaminants in different matrices to estimate children’s exposure Cui, Danni Cox, Joseph Mejias, Emily Ng, Brian Gardinali, Piero Bagner, Daniel M. Quinete, Natalia J Expo Sci Environ Epidemiol Article BACKGROUND: Children are vulnerable to environmental exposure of contaminants due to their small size, lack of judgement skills, as well as their proximity to dust, soil, and other environmental sources. A better understanding about the types of contaminants that children are exposed to or how their bodies retain or process these compounds is needed. OBJECTIVE: In this study, we have implemented and optimized a methodology based on non-targeted analysis (NTA) to characterize chemicals in dust, soil, urine, and in the diet (food and drinking water) of infant populations. METHODS: To evaluate potential toxicological concerns associated with chemical exposure, families with children between 6 months and 6 years of age from underrepresented groups were recruited in the greater Miami area. Samples of soil, indoor dust, food, water, and urine were provided by the caregivers, prepared by different techniques (involving online SPE, ASE, USE, QuEChERs), and analyzed by liquid chromatography-high resolution mass spectrometry (LC-HRMS). Data post-processing was performed using the small molecule structure identification software, Compound Discoverer (CD) 3.3, and identified features were plotted using Kendrick mass defect plot and Van Krevelen diagrams to show unique patterns in different samples and regions of anthropogenic compound classifications. RESULTS: The performance of the NTA workflow was evaluated using quality control standards in terms of accuracy, precision, selectivity, and sensitivity, with an average of 98.2%, 20.3%, 98.4% and 71.1%, respectively. Sample preparation was successfully optimized for soil, dust, water, food, and urine. A total of 30, 78, 103, 20 and 265 annotated features were frequently identified (detection frequency >80%) in the food, dust, soil, water, and urine samples, respectively. Common features detected in each matrix were prioritized and classified, providing insight on children’s exposure to organic contaminants of concern and their potential toxicities. IMPACT STATEMENT: Current methods to assess the ingestion of chemicals by children have limitations and are generally restricted by specific classes of targeted organic contaminants of interest. This study offers an innovative approach using non-targeted analysis for the comprehensive screening of organic contaminants that children are exposed to through dust, soil, and diet (drinking water and food). Nature Publishing Group US 2023-04-29 /pmc/articles/PMC10148696/ /pubmed/37120701 http://dx.doi.org/10.1038/s41370-023-00547-9 Text en © The Author(s), under exclusive licence to Springer Nature America, Inc. 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Cui, Danni
Cox, Joseph
Mejias, Emily
Ng, Brian
Gardinali, Piero
Bagner, Daniel M.
Quinete, Natalia
Evaluating non-targeted analysis methods for chemical characterization of organic contaminants in different matrices to estimate children’s exposure
title Evaluating non-targeted analysis methods for chemical characterization of organic contaminants in different matrices to estimate children’s exposure
title_full Evaluating non-targeted analysis methods for chemical characterization of organic contaminants in different matrices to estimate children’s exposure
title_fullStr Evaluating non-targeted analysis methods for chemical characterization of organic contaminants in different matrices to estimate children’s exposure
title_full_unstemmed Evaluating non-targeted analysis methods for chemical characterization of organic contaminants in different matrices to estimate children’s exposure
title_short Evaluating non-targeted analysis methods for chemical characterization of organic contaminants in different matrices to estimate children’s exposure
title_sort evaluating non-targeted analysis methods for chemical characterization of organic contaminants in different matrices to estimate children’s exposure
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10148696/
https://www.ncbi.nlm.nih.gov/pubmed/37120701
http://dx.doi.org/10.1038/s41370-023-00547-9
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