Evaluation of selenite reduction under salinity and sulfate stress in anaerobic membrane bioreactor

Front Bioeng Biotechnol. 2023 Mar 10:11:1133613. doi: 10.3389/fbioe.2023.1133613. eCollection 2023.

Abstract

Current microbial reduction technologies have been proven to be suitable for decontaminating industrial wastewaters containing high concentrations of selenium (Se) oxyanions, however, their application is strictly limited by the elemental Se (Se0) accumulation in the system effluents. In this work, a continuous-flow anaerobic membrane bioreactor (AnMBR) was employed for the first time to treat synthetic wastewater containing 0.2 mM soluble selenite (SeO3 2-). The SeO3 2- removal efficiency by the AnMBR was approachable to 100% in most of the time, regardless of the fluctuation in influent salinity and sulfate (SO4 2-) stress. Se0 particles were always undetectable in the system effluents, owing to their interception by the surface micropores and adhering cake layer of membranes. High salt stress led to the aggravated membrane fouling and diminished content ratio of protein to polysaccharide in the cake layer-contained microbial products. The results of physicochemical characterization suggested that the sludge-attached Se0 particles presented either sphere- or rod-like morphology, hexagonal crystalline structure and were entrapped by the organic capping layer. According to the microbial community analysis, increasing influent salinity led to the diminished population of non-halotolerant Se-reducer (Acinetobacter) and increased abundance of halotolerant sulfate reducing bacteria (Desulfomicrobium). In the absence of Acinetobacter, the efficient SeO3 2- abatement performance of the system could still be maintained, as a result of the abiotic reaction between SeO3 2- and S2- generated by Desulfomicrobium, which then gave rise to the production of Se0 and S0.

Keywords: anaerobic membrane bioreactor (AnMBR); elemental selenium (Se0); microbial reduction; salinity; selenite (SeO32−); sulfate (SO42−).

Grants and funding

This research was funded by the Special Project of Guangxi Science and Technology Base and Talent (grant numbers GuiKe AD20297007 and GuiKe AD20297009); the National Natural Science Foundation of China (grant numbers 52100034 and 52000046); the Foundation of Guangxi Key Laboratory of Automatic Detecting Technology and Instruments (YQ 22109); the Basic Ability Enhancement Program for Young and Middle-aged Teachers of Guangxi (grant numbers 2021KY0221, and 2022KY0179).