Improved performance of Cr(vi)-reducing microbial fuel cells by nano-FeS hybridized biocathodes.
Xinglei ZhuangShien TangWeiliang DongFengxue XinHonghua JiaXiayuan WuPublished in: RSC advances (2023)
Biocathode microbial fuel cells (MFCs) show promise for Cr(vi)-contaminated wastewater treatment. However, biocathode deactivation and passivation caused by highly toxic Cr(vi) and nonconductive Cr(iii) deposition limit the development of this technology. A nano-FeS hybridized electrode biofilm was fabricated by simultaneously feeding Fe and S sources into the MFC anode. This bioanode was then reversed as the biocathode to treat Cr(vi)-containing wastewater in a MFC. The MFC obtained the highest power density (40.75 ± 0.73 mW m -2 ) and Cr(vi) removal rate (3.99 ± 0.08 mg L -1 h -1 ), which were 1.31 and 2.00 times those of the control, respectively. The MFC also maintained high stability for Cr(vi) removal in three consecutive cycles. These improvements were due to synergistic effects of nano-FeS with excellent properties and microorganisms in the biocathode. The mechanisms were: (1) the accelerated electron transfer mediated by nano-FeS 'electron bridges' strengthened bioelectrochemical reactions, firstly realizing deep reduction of Cr(vi) to Cr(0) and thus effectively alleviating cathode passivation; (2) nano-FeS as 'armor' layers improved cellular viability and extracellular polymeric substance secretion; (3) the biofilm selectively enriched a diversity of bifunctional bacteria for electrochemical activity and Cr(vi) removal. This study provides a new strategy to obtain electrode biofilms for sustainable treatment of heavy metal wastewater.
Keyphrases
- wastewater treatment
- heavy metals
- induced apoptosis
- pseudomonas aeruginosa
- staphylococcus aureus
- candida albicans
- risk assessment
- gold nanoparticles
- machine learning
- drug delivery
- solar cells
- escherichia coli
- mass spectrometry
- cystic fibrosis
- cell death
- ionic liquid
- signaling pathway
- cancer therapy
- artificial intelligence
- high resolution
- oxidative stress
- deep learning
- metal organic framework
- liquid chromatography
- replacement therapy