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Published on: August 18, 2017
Molecular recognition and quantitative analysis of xylene isomers utilizing cataluminescence sensor array
Shaofang Li1, Jianzhong Zheng, Wuxiang Zhang
1Department of Chemistry and Environmental Science, Zhangzhou Normal University, Zhangzhou 363000, PR China.
The Analyst
|December 18, 2012
Summary
A novel sensor array using nanomaterials effectively identifies xylene isomers. This technology offers a promising approach for environmental and industrial chemical monitoring.
Area of Science:
- Analytical Chemistry
- Materials Science
- Nanotechnology
Background:
- Xylene isomers are common industrial pollutants requiring accurate detection.
- Existing methods for isomer differentiation can be complex and costly.
- Cataluminescence (CTL) sensing offers a sensitive detection pathway.
Purpose of the Study:
- To develop a facile and effective sensor array for molecular recognition and quantitative analysis of xylene isomers.
- To explore the use of nanomaterials Y2O3, γ-Al2O3, and ZrO2 as CTL probes.
- To establish a novel strategy for differentiating similar chemical compounds.
Main Methods:
- Fabrication of a sensor array comprising three distinct CTL sensors.
- Utilizing Y2O3, γ-Al2O3, and ZrO2 nanomaterials as sensing probes.
- Optimization of reaction conditions for enhanced CTL signal response.
- Quantitative analysis of xylene isomers based on CTL intensity.
Main Results:
- The sensor array demonstrated effective molecular recognition and quantitative analysis of xylene isomers.
- A linear range of CTL intensity versus concentration for xylene isomers was established from 86.70 to 8670.00 mg m⁻³.
- The array successfully differentiated between similar chemical compounds, outperforming single sensors.
Conclusions:
- A novel CTL sensor array based on Y2O3, γ-Al2O3, and ZrO2 nanomaterials provides a facile and effective method for xylene isomer detection.
- The sensor array strategy is a significant advancement for identifying similar chemical compounds.
- This technology holds substantial promise for future applications in environmental and industrial monitoring.

