Literature DB >> 27676388

Fate of sulfamethoxazole in groundwater: Conceptualizing and modeling metabolite formation under different redox conditions.

Paula Rodríguez-Escales1, Xavier Sanchez-Vila2.   

Abstract

Degradation of emerging organic compounds in saturated porous media is usually postulated as following simple low-order models. This is a strongly oversimplified, and in some cases plainly incorrect model, that does not consider the fate of the different metabolites. Furthermore, it does not account for the reversibility in the reaction observed in a few emerging organic compounds, where the parent is recovered from the metabolite. One such compound is the antibiotic sulfamethoxazole (SMX). In this paper, we first compile existing experimental data to formulate a complete model for the degradation of SMX in aquifers subject to varying redox conditions, ranging from aerobic to iron reducing. SMX degrades reversibly or irreversibly to a number of metabolites that are specific of the redox state. Reactions are in all cases biologically mediated. We then propose a mathematical model that reproduces the full fate of dissolved SMX subject to anaerobic conditions and that can be used as a first step in emerging compound degradation modeling efforts. The model presented is tested against the results of the batch experiments of Barbieri et al. (2012) and Nödler et al. (2012) displaying a non-monotonic concentration of SMX as a function of time under denitrification conditions, as well as those of Mohatt et al. (2011), under iron reducing conditions.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Co-metabolism; Denitrification; Metabolites; Modeling; Oxidation-reduction; Sulfamethoxazole

Mesh:

Substances:

Year:  2016        PMID: 27676388     DOI: 10.1016/j.watres.2016.09.034

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


  1 in total

1.  Microbial population shift caused by sulfamethoxazole in engineered-Soil Aquifer Treatment (e-SAT) system.

Authors:  Ashwinkumar P Rudrashetti; Niti B Jadeja; Deepa Gandhi; Asha A Juwarkar; Abhinav Sharma; Atya Kapley; R A Pandey
Journal:  World J Microbiol Biotechnol       Date:  2017-05-18       Impact factor: 3.312

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.