FOCUS-DB: An Online Comprehensive Database on Food Additive Safety

Area of Science:

• Food Science
• Toxicology
• Bioinformatics

Background:

• Extensive use of food additives necessitates robust safety assessments.
• Existing data on food additive properties is fragmented and difficult to access.
• Potential health hazards associated with food additives require comprehensive evaluation.

Purpose of the Study:

• To develop a centralized, accessible database for food additive information.
• To facilitate the safety assessment and risk evaluation of food additives.
• To support regulatory authorities and industries in optimizing additive usage.

Main Methods:

• Compilation of data for 2885 food additives into the FOCUS-DB.
• Inclusion of collected and predicted data points, along with external links.
• Development of a dynamic web interface for data exploration and risk assessment.

Main Results:

• FOCUS-DB contains 2885 food additives across 18 categories.
• The database includes 40,800 collected data points and 89,435 predicted data points.
• Features include approval status, physicochemical properties, ADI, GHS signals, and toxicity data.

Conclusions:

• FOCUS-DB provides a valuable tool for understanding food additive safety and toxicity.
• The database supports risk assessment and aids in optimizing additive usage limits.
• It serves as a foundation for developing future food safety frameworks.