Micro-aeration in anode chamber promotes p-nitrophenol degradation and electricity generation in microbial fuel cell

Khan, Aman; Chen, Zhengjun; Zhao, Shuai; Ni, Hongyuhang; Pei, Yaxin; Xu, Rong; Ling, Zhenmin; Salama, El-Sayed; Liu, Pu; Li, Xiangkai

doi:10.1016/j.biortech.2019.03.130

Cited by 36 publications

(10 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…[22][23][24] These applications include; improving the biodiesel production from microalgae 22 and waste frying oil, 23 and maximization of the hydrogen and syngas productions from the palm kernel shell. 24 Numerous studies have been done on the essential parts of MFCs such as PEM, 25 biofilm and bacteria 26 and aeration rate 27 for improving the performance of MFCs. In the current research work, the authors considered three main components that could increase the performance of MFC.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Performance improvement of microbial fuel cell through artificial intelligence

et al. 2020

View full text Add to dashboard Cite

The current work introduces an enhancement in the performance of the microbial fuel cell through estimating the optimal set of controlling parameters. The maximization of both power density (PD) and the percentage of chemical oxygen demand (COD) removal were considered as the enhancement in the cell's performance. Three main parameters in terms of performance as well as commercialization are the system's inputs; the Pt which takes the range of 0.1-0.5 mg/cm 2 , the degree of sulphonation in sulfonated-poly-ether-ether-ketone that changes in the range of 20-80%, and the rate of aeration of cathode which varies between 10 and 150 mL/ min. From the experimental dataset, two robust adaptive neuro-fuzzy inference system models based on the fuzzy logic technique have been constructed. The comparisons between the models' outputs and the experimental data showed well-fitting in both training and testing datasets. The mean squared errors of the PD model, for testing and whole datasets, were found 2.575 and 0.909 while for the COD model it showed 19.242 and 6.791, respectively. Then, based on the two fuzzy models, a Particle Swarm Optimization algorithm has been used to determine the best parameters that maximize both of the PD and the COD removal of the cell. The optimization process was utilized for single and multi-object optimization processes. In the single optimization, the resulting maximums of the PD and the COD removal were found 62.844 (mW/m 2) and 99.99 (%), respectively. Whereas, in the multi-object optimization, the values of 61.787 (mW/m 2) and 96.21 (%) were reached as the maximums for the PD and COD, respectively. This implies that, in both cases of optimization processes, the adopted methodology can efficiently enhance the microbial fuel cell performances than the previous work.

show abstract

Section: Introductionmentioning

confidence: 99%

“…Numerous studies have been done on the essential parts of MFCs such as PEM, 25 biofilm and bacteria 26 and aeration rate 27 for improving the performance of MFCs. In the current research work, the authors considered three main components that could increase the performance of MFC.…”

Section: Introductionmentioning

confidence: 99%

Performance improvement of microbial fuel cell through artificial intelligence

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Pseudomonas protegens CHA0 was the nearest neighbor with a high similarity (99.79%) of 16S rRNA sequence. Some exoelectrogenic strains in the Pseudomonas genus have been isolated and characterized, such as P. aeruginosa PAO1 [24], P. otitidis AATB4 [25], P. monteilii LZU-3 [26], P. sp. C27 [27], P. alcaliphila MBR [28], P. putida ATCC 49128, and P. fluorescens MTCC 2269 [29,30].…”

Section: Identification Of the Isolated Strainmentioning

confidence: 99%

Recovery of Metals from Acid Mine Drainage by Bioelectrochemical System Inoculated with a Novel Exoelectrogen, Pseudomonas sp. E8

Hou

Zhang

et al. 2019

Microorganisms

View full text Add to dashboard Cite

Acid mine drainage (AMD) is a typical source of environmental pollution ascribing to its characteristics of high acidity and heavy metal content. Currently, most strategies for AMD treatment merely focus on metal removal rather than metal recovery. However, bioelectrochemical system (BES) is a promising technology to simultaneously remove and recover metal ions from AMD. In this study, both cupric ion and cadmium ion in simulated AMD were effectively recovered by BES inoculated with a novel exoelectrogen, Pseudomonas sp. E8, that was first isolated from the anodic electroactive biofilm of a microbial fuel cell (MFC) in this study. Pseudomonas sp. E8 is a facultative anaerobic bacterium with a rod shape, 0.43–0.47 μm wide, and 1.10–1.30 μm long. Pseudomonas sp. E8 can agglomerate on the anode surface to form a biofilm in the single-chamber MFC using diluted Luria-Bertani (LB) medium as an energy substrate. A single-chamber MFC containing the electroactive Pseudomonas sp. E8 biofilms has a maximum output voltage of 191 mV and a maximum power density of 70.40 mW/m2, which is much higher than those obtained by most other exoelectrogenic strains in the genus of Pseudomonas. Almost all the Cu2+ (99.95% ± 0.09%) and Cd2+ (99.86% ± 0.04%) in simulated AMD were selectively recovered by a microbial fuel cell (MFC) and a microbial electrolysis cell (MEC). After the treatment with BES, the high concentrations of Cu2+(184.78 mg/L), Cd2+(132.25 mg/L), and total iron (49.87 mg/L) in simulated AMD were decreased to 0.02, 0.19, and 0 mg/L, respectively. Scanning electron micrograph (SEM), energy dispersive X-ray spectrometry (EDXS) and X-ray diffraction (XRD) analysis indicate that the Cu2+ and Cd2+ in simulated AMD were selectively recovered by microbial electrochemical reduction as Cu0 (together with trace amounts of Cu2O) or Cd0 on the cathode surface. Collectively, data suggest that Pseudomonas sp. E8 has great potential for AMD treatment and metal recovery.

show abstract

“…[16][17][18][19] Currently, a variety of strategies for the detection of 4-NP have been designed, including liquid chromatography-tandem mass spectrometry, 20,21 electrochemistry, [22][23][24][25] photochemistry, 26 high performance liquid chromatography, 27 and fuel cell-based sensing platforms. [28][29][30][31][32][33][34][35] Unfortunately, these methods often require bulky, expensive instruments, complex sample pretreatment or electrode modification, and time-consuming detection processes, limiting their wide application. Among various analytical methods, 4-NP fluorescence spectrometry detection technology is a powerful analytical technology with high sensitivity, high selectivity, quick response, convenience, and real-time analysis, and has been widely used in the field of analytical chemistry.…”

Section: Introductionmentioning

confidence: 99%

NaYF₄:Yb³⁺(58%),Tm³⁺@NaYF₄@Au nanocomposite for 4-nitrophenol ultrasensitive quantitative detection and highly efficient catalytic reduction

Yang

et al. 2022

New J. Chem.

View full text Add to dashboard Cite

show abstract

Micro-aeration in anode chamber promotes p-nitrophenol degradation and electricity generation in microbial fuel cell

Cited by 36 publications

References 47 publications

Performance improvement of microbial fuel cell through artificial intelligence

Performance improvement of microbial fuel cell through artificial intelligence

Recovery of Metals from Acid Mine Drainage by Bioelectrochemical System Inoculated with a Novel Exoelectrogen, Pseudomonas sp. E8

NaYF₄:Yb³⁺(58%),Tm³⁺@NaYF₄@Au nanocomposite for 4-nitrophenol ultrasensitive quantitative detection and highly efficient catalytic reduction

Contact Info

Product

Resources

About

Micro-aeration in anode chamber promotes p-nitrophenol degradation and electricity generation in microbial fuel cell

Cited by 36 publications

References 47 publications

Performance improvement of microbial fuel cell through artificial intelligence

Performance improvement of microbial fuel cell through artificial intelligence

Recovery of Metals from Acid Mine Drainage by Bioelectrochemical System Inoculated with a Novel Exoelectrogen, Pseudomonas sp. E8

NaYF4:Yb3+(58%),Tm3+@NaYF4@Au nanocomposite for 4-nitrophenol ultrasensitive quantitative detection and highly efficient catalytic reduction

Contact Info

Product

Resources

About

NaYF₄:Yb³⁺(58%),Tm³⁺@NaYF₄@Au nanocomposite for 4-nitrophenol ultrasensitive quantitative detection and highly efficient catalytic reduction