FADB-China

FADB-China catalogs molecular-level information on food adulteration cases in China and globally to provide annotated chemical identities and in silico predictions of potentially illegal food additives for food-safety research and regulation.

Key Features:

• Extensive Data Collection: Compiles 961 documented cases of food adulteration from 1998 to 2019 sourced from literature reports and official announcements by the Chinese government.
• Molecular-Level Annotation: Manually annotates critical molecules involved in adulteration based on expert analysis by food chemists.
• In Silico Prediction Methodology: Applies molecular fingerprints and similarity algorithms to predict potentially illegal food additives, yielding 1919 predicted chemicals.
• Global Precedence: Constitutes the first molecular-level database of food adulteration reported worldwide.

Scientific Applications:

• Regulatory Support: Provides detailed molecular data on known adulterants to inform regulatory policy and enforcement actions.
• Research Advancement: Enables analysis of food adulteration trends, study of chemical properties of adulterants, and development of analytical detection methods.
• Preventive Measures: Supplies predicted chemical candidates to help identify and mitigate risks from emerging adulterants before widespread occurrence.

Methodology:

An in silico prediction approach using molecular fingerprints and similarity algorithms.