Colorimetric Sensor Arrays Technology in Food Quality and Safety Analysis

Area of Science:

• Analytical Chemistry
• Food Science
• Materials Science

Background:

• Colorimetric sensor array (CSA) technology is increasingly utilized for food analysis due to its cost-effectiveness, visual output, and on-site monitoring capabilities.
• A comprehensive review integrating sensing materials, applications, analytical strategies, and practical implementation of CSA for real food matrices is needed.

Purpose of the Study:

• To systematically review recent advances (past 5 years) in colorimetric sensor array technology for food quality and safety analysis.
• To highlight the design and performance of sensitive materials used in CSA systems.
• To analyze the integration of CSA with portable devices and intelligent platforms.

Main Methods:

• Literature search using keywords like "colorimetric sensor array" and "food quality detection" within the last 5 years.
• Filtering studies based on original research, verified sensing performance, and practical validation in food applications.
• Task-oriented framework to discuss CSA applications in various food analysis scenarios.

Main Results:

• CSA technology shows significant potential in detecting food spoilage, adulteration, contamination, and analyzing composition.
• Integration with portable devices and machine learning enhances CSA systems for intelligent food monitoring.
• Key challenges and future prospects for CSA in food industry applications are identified.

Conclusions:

• CSA technology is a promising tool for on-site, visual, and sensitive food quality and safety assessment.
• Further development and optimization of CSA systems are crucial for widespread practical implementation in the food industry.
• This review provides insights for advancing intelligent CSA-based sensing systems.