Food additive lens: an on-device AI application for real-time science-based consumer education on food additives using retrieval-augmented generation

Digital Discovery 2026 Open access

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Authors: YIHANG FENG, Y.-C. Wang, Xinhao Wang, Bo Zhao, Jinbo Bi, Song Han, Yangchao Luo
DOI: 10.1039/d5dd00444f
Cited by: 2
References: 34

Abstract

Food additive lens is an on-device agentic AI application that classifies food products, identifies additives from ingredient lists, and generates contextual and science‑based explanations for everyday packaged foods.

Fields of Study & Subjects

Sensory Analysis and Statistical Methods Consumer Attitudes and Food Labeling Biochemical Analysis and Sensing Techniques

Publication details

Journal / source
Digital Discovery
Publisher
Royal Society of Chemistry (RSC)
Volume
5
Issue
3
Pages
1172–1190
Publication date
1 January 2026
Language
EN