Cover Feature: Enhancing Photoelectrochemical Oxygen Demand Detection by Superhydrophobic and Surface‐Passivated Cocatalyst Engineering (ChemSusChem 22/2025)

The Cover Feature demonstrates a photoelectrochemical water quality sensor integrated with a superhydrophobic, surface-passivated NiOx/S-C/BiVO4 photoelectrode, engineered for highly sensitive chemical oxygen demand (COD) detection of diverse pollutants. The sensor targets biomass derivatives (glucose), oil byproducts (glycerin), and plastic byproducts (ethylene glycol)-key contaminants from industrial and agricultural wastewater-with exceptional sensitivity due to enhanced charge separation and suppressed water splitting. As an eco-friendly alternative to traditional methods, it avoids toxic reagents and enables rapid, real-time monitoring, meeting the demand for practical water quality assessment. More information can be found in the Research Article by K.-H. Ye and co-workers (DOI: 10.1002/cssc.202501758).

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Publication Details

Journal
ChemSusChem
Published
2025-11-24
DOI
https://doi.org/10.1002/cssc.70291
Primary Topic
Water Quality Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
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article

Cover Feature: Enhancing Photoelectrochemical Oxygen Demand Detection by Superhydrophobic and Surface‐Passivated Cocatalyst Engineering (ChemSusChem 22/2025)

Changping Huang, Jieyu Li, Kai‐Hang Ye, Chunsong Xie et al.
ChemSusChem
Water Quality Monitoring and Analysis
article

Cover Feature: Enhancing Photoelectrochemical Oxygen Demand Detection by Superhydrophobic and Surface‐Passivated Cocatalyst Engineering (ChemSusChem 22/2025)

Changping Huang, Jieyu Li, Kai‐Hang Ye, Chunsong Xie, Shanqing Zhang, Wenhao Zou, Sun‐Mou Lai, Haibo Shao, Haiyan Xie, Xiaoxin Chen, Xiaoqi Chen, Changyu Liu, Junwei Chen, Sitong Ge, Yushen Xiao
article en

Abstract

The Cover Feature demonstrates a photoelectrochemical water quality sensor integrated with a superhydrophobic, surface-passivated NiOx/S-C/BiVO4 photoelectrode, engineered for highly sensitive chemical oxygen demand (COD) detection of diverse pollutants. The sensor targets biomass derivatives (glucose), oil byproducts (glycerin), and plastic byproducts (ethylene glycol)-key contaminants from industrial and agricultural wastewater-with exceptional sensitivity due to enhanced charge separation and suppressed water splitting. As an eco-friendly alternative to traditional methods, it avoids toxic reagents and enables rapid, real-time monitoring, meeting the demand for practical water quality assessment. More information can be found in the Research Article by K.-H. Ye and co-workers (DOI: 10.1002/cssc.202501758).

ChemSusChemVol. 18(22)
Guangdong University of Technology (CN), Ji Hua Laboratory (CN), Wuyi University (CN), Beijing Chaoyang Emergency Medical Center (CN), Huizhou University (CN)
Openalex Percentile: Top 57%
Water Quality Monitoring and Analysis
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