Translating Food Biosensing into Practice: Smart Packaging, On-Site Analytics, and AI Integration

Area of Science:

• Food Science
• Analytical Chemistry
• Biotechnology

Background:

• Global food systems face escalating contamination risks, demanding advanced safety and quality monitoring.
• Conventional methods are often slow and lack on-site capabilities, creating a need for rapid detection solutions.

Purpose of the Study:

• To review novel precision monitoring methodologies for food safety.
• To highlight the role of biosensing, intelligent packaging, molecular docking, and AI in enhancing food quality assurance.

Main Methods:

• Review of sophisticated biosensing technologies (electrochemical, optical, thermal).
• Analysis of intelligent packaging systems for real-time quality monitoring.
• Exploration of molecular docking for sensor design and AI/machine learning for predictive analytics and traceability.

Main Results:

• Biosensors provide swift, on-site identification of contaminants, toxins, and allergens.
• Intelligent packaging and AI integration enhance supply chain traceability and quality assurance.
• Molecular docking aids in optimizing sensor design for contaminant detection.

Conclusions:

• Despite challenges like matrix interference and regulatory gaps, advancements in nanotechnology and biodegradable materials offer future solutions.
• These innovations promise to transform food safety, reduce waste, and promote global health equity.
• The integration of these technologies is crucial for a sustainable and secure global food industry.