Estimation of exposure to phthalate plasticizers of the spanish population using wastewater-based epidemiology
Trabajo presentado en la XXII Reunión de la Sociedad Española de Química Analítica (SEQUA), celebrada en Valladolid (España) del 17 al 19 de julio de 2019
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2019-07-17
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dig-cide-es-10261-2016612022-08-31T07:57:57Z Estimation of exposure to phthalate plasticizers of the spanish population using wastewater-based epidemiology González-Mariño, Iria Montes, R. Arés, L. Andreu Pérez, V. Bijlsma, Lubertus Fernández-Rubio, J. Hernández, Félix López-García, Ester Marcé, Rosa María Picó, Yolanda Pucurull, E. Postigo, Cristina Prieto, Ailette , Rico, Andreu Rosende, M. Valcárcel, Yolanda Quintana, José Benito Rodil, Rosario Agencia Estatal de Investigación (España) Xunta de Galicia European Commission Ministerio de Ciencia, Innovación y Universidades (España) Ministerio de Economía y Competitividad (España) Andreu Pérez, V. [0000-0003-2170-1394] Trabajo presentado en la XXII Reunión de la Sociedad Española de Química Analítica (SEQUA), celebrada en Valladolid (España) del 17 al 19 de julio de 2019 Phthalate diesters are high-production-volume chemicals that have been widely used in the manufacturing and processing of plastics for more than 80 years. Recently, they have been included in the priority lists of dangerous substances in most of the industrialized countries. Ingestion is considered the major route of exposure to phthalates, either by consuming contaminated food, accidental ingestion of contaminated dust and soil, or licking of products in which they are contained. Once in the human body, phthalates are hydrolysed to their corresponding monoesters and further oxidized or conjugated into glucuronide complexes and finally excreted. Wastewater-based epidemiology (WBE) is a complementary approach to human biomonitoring to estimate the level of exposure to a substance through the analysis of its metabolic residues in urban wastewater [1], considering that raw wastewater is a highly diluted urine sample representing an entire community. A sensitive analytical method was developed to quantitatively measure metabolites of 6 phthalate diesters in raw wastewater [2]. Thus, the objective of this study consisted of the application of the developed method to analyse wastewater samples collected in different locations in Spain and the evaluation of the exposure to phthalate diesters in the investigated cities. Raw wastewater from 17 wastewater treatment plants, serving a total population of 6.1 million inhabitants (13% of the Spanish population), was analysed. The results show that the highest population-weighted exposure loads were obtained for diethyl phthalate, followed by dimethyl phthalate and the isomers di-i-butyl phthalate and di-n-butyl phthalate. The authors acknowledge support by Xunta de Galicia (refs. ED431C2017/36 and IGM postdoctoral contract, Plan Galego I2C-Modalidade B, ED481D 2017/003), the Spanish Research Agency (AE) (ref. CTM2016-81935- REDT/AEI and CTM2017-84763-C3-R-2) and FEDER/ERDF. 2020-02-24T10:20:03Z 2020-02-24T10:20:03Z 2019-07-17 2020-02-24T10:20:03Z póster de congreso http://purl.org/coar/resource_type/c_6670 XXII SEQUA (2019) http://hdl.handle.net/10261/201661 http://dx.doi.org/10.13039/501100011033 http://dx.doi.org/10.13039/501100000780 http://dx.doi.org/10.13039/501100003329 http://dx.doi.org/10.13039/501100010801 #PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# CTM2017-84763-C3-R-2/AEI/10.13039/501100011033 info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CTM2016-81935-REDT info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/CTM2017-84763-C3-R-2 Sí open |
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Trabajo presentado en la XXII Reunión de la Sociedad Española de Química Analítica (SEQUA), celebrada en Valladolid (España) del 17 al 19 de julio de 2019 |
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Agencia Estatal de Investigación (España) |
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Agencia Estatal de Investigación (España) González-Mariño, Iria Montes, R. Arés, L. Andreu Pérez, V. Bijlsma, Lubertus Fernández-Rubio, J. Hernández, Félix López-García, Ester Marcé, Rosa María Picó, Yolanda Pucurull, E. Postigo, Cristina Prieto, Ailette , Rico, Andreu Rosende, M. Valcárcel, Yolanda Quintana, José Benito Rodil, Rosario |
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póster de congreso |
author |
González-Mariño, Iria Montes, R. Arés, L. Andreu Pérez, V. Bijlsma, Lubertus Fernández-Rubio, J. Hernández, Félix López-García, Ester Marcé, Rosa María Picó, Yolanda Pucurull, E. Postigo, Cristina Prieto, Ailette , Rico, Andreu Rosende, M. Valcárcel, Yolanda Quintana, José Benito Rodil, Rosario |
spellingShingle |
González-Mariño, Iria Montes, R. Arés, L. Andreu Pérez, V. Bijlsma, Lubertus Fernández-Rubio, J. Hernández, Félix López-García, Ester Marcé, Rosa María Picó, Yolanda Pucurull, E. Postigo, Cristina Prieto, Ailette , Rico, Andreu Rosende, M. Valcárcel, Yolanda Quintana, José Benito Rodil, Rosario Estimation of exposure to phthalate plasticizers of the spanish population using wastewater-based epidemiology |
author_sort |
González-Mariño, Iria |
title |
Estimation of exposure to phthalate plasticizers of the spanish population using wastewater-based epidemiology |
title_short |
Estimation of exposure to phthalate plasticizers of the spanish population using wastewater-based epidemiology |
title_full |
Estimation of exposure to phthalate plasticizers of the spanish population using wastewater-based epidemiology |
title_fullStr |
Estimation of exposure to phthalate plasticizers of the spanish population using wastewater-based epidemiology |
title_full_unstemmed |
Estimation of exposure to phthalate plasticizers of the spanish population using wastewater-based epidemiology |
title_sort |
estimation of exposure to phthalate plasticizers of the spanish population using wastewater-based epidemiology |
publishDate |
2019-07-17 |
url |
http://hdl.handle.net/10261/201661 http://dx.doi.org/10.13039/501100011033 http://dx.doi.org/10.13039/501100000780 http://dx.doi.org/10.13039/501100003329 http://dx.doi.org/10.13039/501100010801 |
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