Work

Miniaturized olfactory sensor chip-based AI-wearable biometric ring for human body metabolic odor analysis

Year: 2026

Type: article

Abstract: The human body emanated metabolic odor encompass biometric information used for tracking metabolic conditions of individuals. The challenge of decoding these long-unappreciated physiological signals of metabolic states impedes the development of technologies for real-time monitoring and next-generation personal health digitization. Here we introduce a monolithic AI-wearable biometric ring designed to non-invasively and reliably monitor skin volatile-organic-compounds associated with diet-related metabolism. The ring utilizes the attention-based feature fusion algorithm on a miniaturized olfactory sensor chip, incorporating three-dimensional vertical hetero-interfaces within a small footprint of 0.0081 mm². It discriminates six categories of diet-induced emanated volatile-organic-compound patterns, three physical activities, and quantifies food intake with a 0.991 determination coefficient. Through gas chromatography-mass spectrometry validation and the personalized AI health agent, our biometric ring demonstrates broad efficacy in human body odor monitoring with evident diet-induced metabolic adherence. Decoding skin gases can reveal a lot about our health. Here, the authors introduce a monolithic AI-powered wearable ring designed to non-invasively monitor dermal volatile-organic-compounds associated with diet-related metabolism.

Source: Nature Communications

DOI: 10.1038/s41467-026-70746-z