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Integration of Colorimetric Sensing Dyes and Multi-Substrate Arrays for Food Quality and Safety Monitoring: Design,
Jingfei Shen1, Qisheng Liu1, Ruxin Zhang1
1State Key Laboratory of Tea Plant Germplasm Innovation and Resource Utilization, Anhui Agricultural University, Hefei, China.
Comprehensive Reviews in Food Science and Food Safety
|November 30, 2025
Summary
Colorimetric sensors offer rapid, low-cost food safety detection. Advancements in materials and systems show great potential for on-site food quality and safety monitoring.
Area of Science:
- Analytical Chemistry
- Materials Science
- Food Science
Background:
- Growing concerns about food safety necessitate rapid, accurate, and affordable detection methods.
- Colorimetric sensors are emerging as vital tools for food quality inspection due to their speed, sensitivity, and cost-effectiveness.
Purpose of the Study:
- To review the development and applications of colorimetric sensing technology in food detection and safety.
- To critically assess research on colorimetric sensor arrays (CSAs), including dyes, substrates, and system optimization.
Main Methods:
- Discussion of fundamental principles of colorimetric sensors.
- Assessment of recent advancements in functionalized nanoparticles, nanoenzymes, and porous polymer substrates.
- Review of data acquisition and analysis techniques for colorimetric sensing.
Main Results:
- Optimization of nanomaterials has achieved detection limits in the parts per billion range.
- Advanced substrates offer high adsorption, anti-interference, and mechanical stability for integrated applications.
- Colorimetric sensor arrays (CSAs) demonstrate significant potential in food safety testing, quality control, and process monitoring.
Conclusions:
- Colorimetric sensor arrays (CSAs) hold substantial promise for improving food safety and quality.
- Challenges include environmental interference, matrix effects, and limited industrial validation.
- Future development hinges on integrating advanced materials, portable optics, and online analytical platforms for real-time, on-site analysis.

