Homojunction-Incorporated Oxygen Vacancy Functionalized Spherical TiO<sub>2</sub> Nanocrystals for the Electrochemical Detection of Chemical Oxygen Demand

Chemical oxygen demand (COD) is a critical criterion for the analytical assessment of the degree of organic contaminants in an aqueous system. Typically, toxic and expensive reagents are employed in standardized COD analysis methods, leading to secondary pollution. In this work, we developed a rapid electrochemical method for COD detection based on the oxidation of hydroxyl radicals for organics in water by using oxygen vacancy doped anatase/rutile-TiO<sub>2</sub> nanoparticles as electrooxidation catalysts. Homojunction interface generated increasing oxygen vacancies for enhancing electron-transfer rate and accelerating H<sub>2</sub>O oxidation to substantially improve ·OH yield. Oxygen vacancy further increased the oxygen evolution potential of the material. Initially, glucose was chosen as a standard analyte to evaluate electrochemical responses, and water from urban wastewater treatment plants was assessed as real samples subsequently. Excellent analytical characteristics were achieved with the A/R-TiO<sub>2</sub> sensor under the optimal conditions, exhibiting a linear range from 1 to 300 mg L<sup>-1</sup> and detection limit of 0.1 mg L<sup>-1</sup> COD. The estimated COD values obtained from the samples were highly consistent with those determined using the conventional standard dichromate method. We have presented a fast, cost-effective, and ecologically sustainable method that outperforms the standard COD analysis method and holds great potential for the accurate determination of COD and boasts high detection sensitivity and a broad linear range.

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Publication Details

Journal
Inorganic Chemistry
Published
2024-10-24
DOI
https://doi.org/10.1021/acs.inorgchem.4c03890
Citations
4
Primary Topic
Water Quality Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
1.17
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article

Homojunction-Incorporated Oxygen Vacancy Functionalized Spherical TiO2 Nanocrystals for the Electrochemical Detection of Chemical Oxygen Demand

Huimin Zhao, Xueming Dang, Li Zhang
4 citations
Inorganic Chemistry
Water Quality Monitoring and Analysis
1.17
article

Homojunction-Incorporated Oxygen Vacancy Functionalized Spherical TiO2 Nanocrystals for the Electrochemical Detection of Chemical Oxygen Demand

Huimin Zhao, Xueming Dang, Li Zhang
article en
4 citations

Abstract

Chemical oxygen demand (COD) is a critical criterion for the analytical assessment of the degree of organic contaminants in an aqueous system. Typically, toxic and expensive reagents are employed in standardized COD analysis methods, leading to secondary pollution. In this work, we developed a rapid electrochemical method for COD detection based on the oxidation of hydroxyl radicals for organics in water by using oxygen vacancy doped anatase/rutile-TiO<sub>2</sub> nanoparticles as electrooxidation catalysts. Homojunction interface generated increasing oxygen vacancies for enhancing electron-transfer rate and accelerating H<sub>2</sub>O oxidation to substantially improve ·OH yield. Oxygen vacancy further increased the oxygen evolution potential of the material. Initially, glucose was chosen as a standard analyte to evaluate electrochemical responses, and water from urban wastewater treatment plants was assessed as real samples subsequently. Excellent analytical characteristics were achieved with the A/R-TiO<sub>2</sub> sensor under the optimal conditions, exhibiting a linear range from 1 to 300 mg L<sup>-1</sup> and detection limit of 0.1 mg L<sup>-1</sup> COD. The estimated COD values obtained from the samples were highly consistent with those determined using the conventional standard dichromate method. We have presented a fast, cost-effective, and ecologically sustainable method that outperforms the standard COD analysis method and holds great potential for the accurate determination of COD and boasts high detection sensitivity and a broad linear range.

Inorganic ChemistryVol. 63(44)
Ministry of Ecology and Environment (CN), Dalian University of Technology (CN)
Openalex Percentile: Top 21%
Water Quality Monitoring and Analysis
1.17
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