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A Fabrication Method for Highly Stretchable Conductors with Silver Nanowires
Published on: January 21, 2016
A Self-Supported CuO/Cu Nanowire Electrode as Highly Efficient Sensor for COD Measurement
Xinwen Huang1, Yingying Zhu1, Wanquan Yang1,2
1Institute of Environment, College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 300014, China.
A novel CuO/Cu nanowire electrode offers a sensitive and reliable method for determining chemical oxygen demand (COD) in water. This electrochemical sensor shows excellent performance and potential for real-world water pollution monitoring.
Area of Science:
- Electrochemistry
- Materials Science
- Environmental Science
Background:
- Chemical oxygen demand (COD) is a critical water quality parameter.
- Traditional COD measurement methods can be time-consuming and resource-intensive.
- Development of rapid and sensitive electrochemical methods for COD determination is needed.
Purpose of the Study:
- To develop a self-supported CuO/Cu nanowire electrode (CuO/CuNWE) for electrochemical COD determination.
- To investigate the electrochemical properties and performance of the CuO/CuNWE.
- To evaluate the potential of the developed electrode for practical water quality monitoring.
Main Methods:
- Fabrication of CuO/CuNWE via annealing and anodization of Cu nanowires.
- Characterization using scanning electron microscopy (SEM) and X-ray diffraction (XRD).
- Electrochemical analysis using cyclic voltammetry (CV) for COD measurement.
Main Results:
- The CuO/CuNWE exhibited enhanced electrocatalytic activity for oxidizing organic compounds.
- The electrode demonstrated a wide linear range (5-1153 mg L⁻¹) and low detection limit (2.3 mg L⁻¹) for COD.
- Excellent correlation (r=0.9995) was found between the proposed method and the dichromate method.
- Successful application in real water samples confirmed its practical viability.
Conclusions:
- The CuO/CuNWE is a stable and efficient electrode material for electrochemical COD sensing.
- The developed method provides a sensitive, rapid, and reliable alternative to traditional COD analysis.
- This technology holds significant promise for effective water pollution control and monitoring.
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