Enhancing food safety and quality: multiplex detection using smart nanostructured molecular logic technologies

Area of Science:

• Food analysis and safety
• Nanotechnology in sensing
• Molecular logic systems

Background:

• Multi-target detection is crucial for comprehensive food safety and quality assessment.
• Smart nanostructured molecular logic technologies (SNMLT) are emerging for multiplex food analysis.
• Component materials-based SNMLT show promise due to rapid response, multifunctionality, and high sensitivity.

Purpose of the Study:

• To provide a comprehensive review of SNMLT sensing platforms for food multi-target detection.
• To summarize the principles, classification, component materials, and signal output strategies of SNMLT.
• To highlight the applications of SNMLT in detecting physical, biological, and chemical hazards in food.

Main Methods:

• Review of existing literature on SNMLT for food analysis.
• Description of SNMLT operational principles and classification.
• Summary of component materials and signal output mechanisms.
• Analysis of SNMLT applications in various food safety contexts.

Main Results:

• SNMLT offers a wide detection range and strong anti-interference capabilities for multiplex assays.
• Component materials-based SNMLT are effective for simultaneous analysis of multiple food analytes.
• Applications span physical, biological, and chemical hazard detection, as well as food quality assessment.

Conclusions:

• SNMLT presents a powerful platform for advanced food safety monitoring.
• Future research should focus on integrating SNMLT with artificial intelligence for user-friendly sensing devices.
• Further development is needed to address challenges and enhance the practical application of SNMLT in food analysis.