Xiaojing Li, Yue Li, Xiaodong Zhao et al.

Chemosphere • 2019

Min Xu, Jianfeng Li, Bing Liu et al.

Chemosphere • 2020

Huimin Wang, Xiaoyan Qi, Siyu Chen et al.

Journal of environmental chemical engineering • 2022

Jaewook Myung, Pascal E. Saikaly, Bruce E. Logan

Chemical Engineering Journal • 2018

Shuxin Liu, Lan Li, Hui-qiang Li et al.

Bioresource Technology • 2017

K. Tamilarasan, Arulazhagan Pugazhendi, Sakthivel Subramanian et al.

3 Biotech • 2018

Luan Zhang, Minghe Jiang, Shungui Zhou

Journal of Environmental Sciences • 2021

Oluwatosin Obata, John Greenman, Halil Kurt et al.

Bioelectrochemistry • 2020

This study evaluates the fate of certain bactericidal agents introduced into microbial fuel cell (MFC) cascades and the response of the microbial community. We tested the response of functioning urine fed MFC cascades using two very different bactericidal agents: a common antibiotic (Ampicillin, 5 g/L) and a disinfectant (Chloroxylenol 4.8 g/L) in concentrations of up to 100 times higher than the usual dose. Results of power generation showed that the established bacteria community was able to withstand high concentrations of ampicillin with good recovery after 24 h of minor decline. However, power generation was adversely affected by the introduction of chloroxylenol, resulting in a 99% loss of power generation. Ampicillin was completely degraded within the MFC cascade (>99.99%), while chloroxylenol remained largely unaffected. Analysis of the microbial community before the addition of the bactericidal agents showed a significant bacterial diversity with at least 35 genera detected within the cascade. Microbial community analysis after ampicillin treatment showed the loss of a small number of bacterial communities and proportional fluctuations of specific strains within the individual MFCs community. On the other hand, there was a significant shift in the bacterial community after chloroxylenol treatment coupled with the loss of at least 13 bacterial genera across the cascade.

Linfang Zhang, Guokai Fu, Zhang Zhi

Bioelectrochemistry • 2018

Chih‐Hung Wu, Jing-Chen Shih, Chi‐Wen Lin

International Journal of Hydrogen Energy • 2016

Yonggang Yuan, Chunpeng Leng, Yunlong Zhou et al.

Journal of Environmental Management • 2023

Xiaodong Xin, Wei Qiu

The Science of The Total Environment • 2020

Juping You, Yingying Deng, Han Chen et al.

Chemosphere • 2020

Chunxia Mu, Lin Wang, Lin Wang et al.

Journal of Cleaner Production • 2021

Qin Dai, Sai Zhang, Hao Liu et al.

Bioelectrochemistry • 2019

J. Annie Modestra, C. Nagendranatha Reddy, K. Vamshi Krishna et al.

Renewable Energy • 2019

Qinghua Zhang, Lei Zhang, Zehua Li et al.

Bioresource Technology • 2019

Qiang Kong, Wenhan Guo, Ruipeng Sun et al.

Journal of environmental chemical engineering • 2021

Kidakarn Nookwam, Benjamas Cheirsilp, Wageeporn Maneechote et al.

Bioresource Technology • 2021

Arjay Christopher J. Tacas, Po‐Wei Tsai, Lemmuel L. Tayo et al.

Process Biochemistry • 2020

Haonan Wang, Peng Chen, Shixuan Zhang et al.

The Science of The Total Environment • 2021

Sanath Kondaveeti, Sang‐Hoon Lee, Hee‐Deung Park et al.

Electrochimica Acta • 2019

Jing Lian, Xiu-lei Tian, Jianbo Guo et al.

Biochemical Engineering Journal • 2016

Hui Wang, Xian Cao, Lei Li et al.

Ecotoxicology and Environmental Safety • 2017

Qiujin Deng, Chengyuan Su, Xinya Lu et al.

Bioresource Technology • 2020

Smita S. Kumar, Sandeep K. Malyan, Suddhasatwa Basu et al.

Environmental Science and Pollution Research • 2017

Huanhuan Zhao, Chui‐Hua Kong

Bioresource Technology • 2018

Yining Wu, Ling Wang, Min Jin et al.

Bioresource Technology • 2020

Haitao Wang, Qiang Wang, Xiang Li et al.

Journal of Environmental Management • 2019

Hua Li, Han Xu, Hai–Liang Song et al.

Environmental Pollution • 2020

Xizi Long, Xian Cao, Hai–Liang Song et al.

Bioresource Technology • 2019

Qinghua Zhang, Lei Zhang, Han Wang et al.

Bioresource Technology • 2017

M. Amirul Islam, Baranitharan Ethiraj, Chin Kui Cheng et al.

ACS Sustainable Chemistry & Engineering • 2018

The interspecies interactions in microbial communities are very complex, rendering identification of synergistic or antagonistic relationships very difficult; however, understanding the mutualistic relationship between the microbes is exigent to gain deeper insight into their performance in wastewater fed microbial fuel cells (MFCs). In the present study, we aimed to explore the ecological networks between the microorganisms in a defined coculture system comprising with Pseudomonas aeruginosa (P. aeruginosa) and Klebsiella variicola (K. variicola). The coculture showed around 3 times higher current density in MFCs compared with either of these two bacteria alone. Metabolite analysis demonstrated that the fermentative metabolite (1,3-propanediol) produced by K. variicola stimulated the P. aeruginosa to produce a higher amount of pyocyanin through synergistic interactions, leading to the enhancement in the performance of coculture MFCs fed with palm oil mill effluent (POME). This study proves that the metabolite based “interspecies ecological communicatio” can enhance the electrochemical activity in MFCs.

Williamson Gustave, Zhaofeng Yuan, Raju Sekar et al.

Research in Microbiology • 2018

Jing Shen, Zhiping Du, Jianfeng Li et al.

Bioelectrochemistry • 2020

Ke Zhang, Xiangling Wu, Hongbing Luo et al.

Journal of Environmental Management • 2020

Hua Li, Yun Cai, Zuli Gu et al.

Chemosphere • 2020

Guang Yang, Jie Wang, Hongwei Zhang et al.

Water Research • 2018

Xiaoxuan Wang, Jingping Hu, Qin Chen et al.

Water Research • 2019

Xiaojun Jin, Fei Guo, Weiqi Ma et al.

Chemical Engineering Journal • 2019