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Constituting fully integrated visual analysis system for Cu(II) on TiO₂/cellulose paper
Shun-Xing Li1, Xiaofeng Lin, Feng-Ying Zheng
1Fujian Province Key Laboratory of Modern Analytical Science and Separation Technology , Zhangzhou 363000, China.
A novel TiO2/cellulose paper (TCP) efficiently adsorbs and detects Cu(II) in water. This integrated system offers a low-cost, visual method for environmental monitoring.
Area of Science:
- Materials Science
- Environmental Chemistry
- Analytical Chemistry
Background:
- Cellulose filter paper is an abundant, low-cost porous material.
- Nanoscale titanium dioxide (TiO2) possesses unique catalytic and adsorptive properties.
- Developing integrated systems for simultaneous adsorption, photocatalysis, and sensing is crucial for environmental analysis.
Purpose of the Study:
- To develop a TiO2/cellulose paper (TCP) composite for efficient Cu(II) removal and detection.
- To investigate TCP's performance as an adsorbent, photocatalyst, and colorimetric sensor.
- To establish a visual, preconcentrated analytical method for Cu(II) in water samples.
Main Methods:
- Immobilization of nano-TiO2 onto cellulose filter paper to create TCP.
- Optimization of adsorption conditions (pH, temperature) for Cu(II).
- Colorimetric detection of Cu(II) using neocuproine indicator on TCP, quantified via image processing.
- Photodegradation of interfering humic substances.
Main Results:
- TCP demonstrated high adsorption capacity for Cu(II) (>1.65 mg) with >96.1% removal at pH 6.5 and 25 °C.
- Photodegradation effectively eliminated color interference from humic substances.
- A visual color change (white to orange) indicated Cu(II) presence.
- The system achieved a preconcentration factor of 10(4) for Cu(II) detection in drinking water and seawater.
- Detection limit of 0.073 μg L(-1) with a wide linear range (0.5-50.0 μg L(-1)).
Conclusions:
- TCP serves as a multifunctional material for simultaneous adsorption, photocatalysis, and colorimetric sensing of Cu(II).
- The integrated visual analysis system provides a sensitive and selective method for Cu(II) detection in environmental water.
- This approach offers a cost-effective and practical solution for water quality monitoring.
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