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Cu-Based Nanozyme-Enabled Triple Channel Colorimetric Sensor Arrays for Efficient Discrimination of Flavonoids.
Qilin Zhao1,2, Tian Luan1,2, Jian Sun1
1State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin 130022, China.
Analytical Chemistry
|August 27, 2025
Summary
This study introduces a novel Cu-hmtz sensor array for discriminating five flavonoids. The colorimetric sensor array shows specific responses and enables successful clustering, even with cross-contamination, offering a new sensing platform.
Area of Science:
- Analytical Chemistry
- Materials Science
- Nanotechnology
Background:
- Accurate identification and quantification of flavonoids are challenging due to similar structures.
- Sensor arrays offer potential for simultaneous recognition of diverse flavonoids via unique receptor-analyte interactions.
Purpose of the Study:
- To develop a colorimetric sensor array using Cu-hmtz nanomaterial for discriminating five specific flavonoids.
- To validate the sensor array's performance in complex and interfering environments, including real-world samples.
Main Methods:
- Fabrication of a sensor array using Cu-hmtz (3-methyl-1H-1,2,4-triazole) as the core element.
- Utilizing colorimetric responses across three channels for flavonoid detection at concentrations from 1 to 10 μg/mL.
- Applying statistical methods for data processing and visualization, and testing with interfering substances and a flavonoid-containing drug.
Main Results:
- The Cu-hmtz sensor array successfully discriminated five target flavonoids.
- Specific colorimetric responses were observed within the 1-10 μg/mL concentration range.
- Effective clustering and identification were achieved despite cross-contamination and the presence of interfering substances.
Conclusions:
- The developed Cu-hmtz sensor array provides a credible and effective platform for flavonoid sensing.
- This strategy highlights the potential of multifunctional nanozymes in advanced sensing applications.
- The sensor array demonstrates robustness and applicability in complex sample matrices.
