Hui Wang

Dr. Hui Wang

Municipal and Environmental Engineering, Xi`an University of Technology, Xi’an, Shaanxi, China
orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2020 in Ecotoxicology and Environmental Safety
Verified
Journal Article
Closed access
JZJingran Zhang
Jingran Zhang
XCXian Cao
Xian Cao
Hui WangHui Wang
Hui Wang
Xizi LongXizi Long
Xizi Long
XLXianning Li
Xianning Li

23 March 2016 in Environmental Science and Pollution Research
Verified
Journal Article
Closed access
PDF file
Hui WangHui Wang
Hui Wang
HSHailiang Song
Hailiang Song
Ran YuRan Yu
Ran Yu
XCXian Cao
Xian Cao
ZFZhou Fang
Zhou Fang
XLXianning Li
Xianning Li

1 October 2018 in Chemosphere
Verified
Journal Article
Closed access
XCXian Cao
Xian Cao
Hui WangHui Wang
Hui Wang
Shuai ZhangShuai Zhang
Shuai Zhang
ONOsamura Nishimura
Osamura Nishimura
XLXianning Li
Xianning Li

22 July 2022 in Frontiers in Microbiology
Verified
Journal Article
Open access
Hui WangHui Wang
Hui Wang
XLXizi Long
Xizi Long
YSYingying Sun
Yingying Sun
DWDongqi Wang
Dongqi Wang
ZWZhe Wang
Zhe Wang
NLNan Lu
Nan Lu
Electrochemical impedance spectroscopy (EIS) is an efficient and non-destructive test for analyzing the bioelectrochemical processes of microbial fuel cells (MFCs). The key factors limiting the output performance of an MFC can be identified by quantifying the contribution of its various internal parts to the total impedance. However, little attention has been paid to the measurement conditions and diagrammatic processes of the EIS for MFC. This review, starting with the analysis of admittance of bioelectrode, introduces conditions for the EIS measurement and summarizes the representative equivalent circuit plots for MFC. Despite the impedance from electron transfer and diffusion process, the effect of unnoticeable capacitance obtained from the Nyquist plot on MFCs performance is evaluated. Furthermore, given that distribution of relaxation times (DRT) is an emerging method for deconvoluting EIS data in the field of fuel cell, the application of DRT-analysis to MFC is reviewed here to get insight into bioelectrode reactions and monitor the biofilm formation. Generally, EIS measurement is expected to optimize the construction and compositions of MFCs to overcome the low power generation.


15 March 2017 in RSC Advances
Verified
Journal Article
Open access
PDF file
ZFZhou Fang
Zhou Fang
SCSichao Cheng
Sichao Cheng
Hui WangHui Wang
Hui Wang
XCXian Cao
Xian Cao
XLXianning Li
Xianning Li
Microbial fuel cells (MFCs) were embedded into constructed wetlands to form microbial fuel cell coupled constructed wetlands (CW-MFCs) and were used for simultaneous azo dye wastewater treatment and bioelectricity generation. For the first time, the effects of different substrate biomass on the performance of CW-MFCs were studied. Group A had the highest substrate biomass of 0.453 g VSS per L, followed in order by group D, group B and group C. CW-MFCs with more substrate biomass showed higher decolorization efficiencies but lower electrode performance. The decolorization efficiency and the maximal power density of group A were 92.7% and 0.117 W m−3, respectively, while the decolorization efficiency and the maximal power density of group C were 76.26% and 0.256 W m−3, respectively. The cathode performance had the greatest impact on the CW-MFC performance. This may be due to the high cathode activation resistance which may be caused by the lack of cathode microbes. The substrate biomass exerted significant effects on the electrode microbes. The CW-MFCs with more substrate biomass had fewer electrode microbes, which may reduce the electrode performance. This study highlights the applications of CW-MFCs and other MFCs that were built in a natural environment.