Literature DB >> 33360421

Transformation of phthalates and their metabolites in wastewater under different sewer conditions.

Chang He1, Jiaying Li2, Guangming Jiang3, Shuo Chen1, Cherry Niel4, Zhiguo Yuan2, Jochen F Mueller1, Phong Thai5.   

Abstract

There is an increasing demand to monitor the human exposure to phthalates, and a few studies have used phthalate metabolites in wastewater to estimate exposure to these chemicals in the population. However, it is suspected that the stability of phthalates and phthalate metabolites during sewer transport can influence the final estimates. In this study, we used laboratory sewer reactors to evaluate the in-sewer transformation of phthalates and their metabolites, and deconjugation of phthalate metabolites. We found concentrations of parent phthalates decreased quickly over time while the concentrations of phthalate metabolites increased significantly for most compounds, indicating that parent phthalate compounds are partly transformed into their metabolites in the sewer. Our assessment of the deconjugation of glucuronide-conjugated phthalate metabolites found that this process did not significantly affect the concentrations of phthalate metabolites in the wastewater, with the relative difference ranging from -16% to 7% between enzymatically treated samples and control group. Additionally, our results showed that phthalate metabolites could be subject to rapid degradation during the incubation process. Our findings suggested that the level of phthalate metabolites in sewage could be strongly influenced by the in-sewer transformation of the parent phthalates and of themselves, and could not be assumed as uniquely the results of urinary excretion after human exposure to parent phthalates.
Copyright © 2020. Published by Elsevier Ltd.

Entities:  

Keywords:  Biofilm; Glucuronide conjugate; Phthalate diesters; Phthalate monoesters; Transformation

Year:  2020        PMID: 33360421     DOI: 10.1016/j.watres.2020.116754

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  2 in total

1.  Co-metabolism of nonylphenol ethoxylate in sequencing batch reactor under aerobic conditions.

Authors:  Alpaslan Ekdal; Didem Okutman Tas; Gulsum Emel Zengin; Irmak Batı Onay; Tugba Olmez Hanci; Derin Orhon; Emine Cokgor
Journal:  Biodegradation       Date:  2022-02-10       Impact factor: 3.909

2.  Artificial neural network-based estimation of COVID-19 case numbers and effective reproduction rate using wastewater-based epidemiology.

Authors:  Guangming Jiang; Jiangping Wu; Jennifer Weidhaas; Xuan Li; Yan Chen; Jochen Mueller; Jiaying Li; Manish Kumar; Xu Zhou; Sudipti Arora; Eiji Haramoto; Samendra Sherchan; Gorka Orive; Unax Lertxundi; Ryo Honda; Masaaki Kitajima; Greg Jackson
Journal:  Water Res       Date:  2022-04-13       Impact factor: 13.400

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.