Modelling cometabolic biotransformation of sulfamethoxazole by an enriched ammonia oxidizing bacteria culture. (14th December 2017)

• Record Type: Journal Article
• Authors: Peng, Lai; Kassotaki, Elissavet; Liu, Yiwen; Sun, Jing; Dai, Xiaohu; Pijuan, Maite; Rodriguez-Roda, Ignasi; Buttiglieri, Gianluigi; Ni, Bing-Jie
• Is Part Of: Chemical engineering science. Volume 173(2017)
• Page Start: 465
• Page End: 473
• Publication Date: 2017-12-14
• Subjects: Ammonia oxidizing bacteria -- Cometabolic biotransformation -- Mathematical model -- Sulfamethoxazole -- Transformation products -- Removal efficiency; Chemical engineering -- Periodicals; Génie chimique -- Périodiques; Chemical engineering; Periodicals; Electronic journals; 660
• DOI: 10.1016/j.ces.2017.08.015
• Languages: English
• ISSNs: 0009-2509

Abstract

Graphical abstract: Highlights: The model involved one cometabolic and two non-growth degradation pathways of SFX. The production of three SFX transformation products was specifically modelled. The model was assessed by both short-term and long-term experimental data. The model predicted the effect of several operational parameters on SFX removal. Abstract: Antibiotics such as sulfamethoxazole (SFX) are environmentally hazardous after being released into the aquatic environment and challenges remain in the development of engineered prevention strategies. In this work, a mathematical model was developed to describe and evaluate cometabolic biotransformation of SFX and its transformation products (TPs) in an enriched ammonia oxidizing bacteria (AOB) culture. The growth-linked cometabolic biodegradation by AOB, non-growth transformation by AOB and non-growth transformation by heterotrophs were considered in the model framework. The production of major TPs comprising 4-Nitro-SFX, Desamino-SFX and N 4 -Acetyl-SFX was also specifically modelled. The validity of the model was demonstrated through testing against literature reported data from extensive batch tests, as well as from long-term experiments in a partial nitritation sequencing batch reactor (SBR) and in a combined SBR + membrane aerated biofilm reactor performing nitrification/denitrification. Modelling results revealed that the removal efficiency of SFX increased with the increase of influent ammonium concentration, whereas the influent organic matter, hydraulic retention time and solid retention time exerted a limited effect on SFX biodegradation with the removal efficiencies varying in a narrow range. The variation of influent SFX concentration had no impact on SFX removal efficiency. The established model framework enables interpretation of a range of experimental observations on SFX biodegradation and helps to identify the optimal conditions for efficient removal.