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Related Experiment Video

Updated: Mar 29, 2026

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization
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Miniaturized olfactory sensor chip-based AI-wearable biometric ring for human body metabolic odor analysis.

Wenhao Ye1,2, Ruochen Ding1,3, Chen Wang1,4

  • 1Department of Electronic and Computer Engineering, the Hong Kong University of Science and Technology, Kowloon, Hong Kong SAR, China.

Nature Communications
|March 28, 2026
PubMed
Summary

A new AI-powered wearable ring non-invasively monitors skin volatile organic compounds to track diet-related metabolism. This technology enables real-time personal health digitization and metabolic condition monitoring.

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Area of Science:

  • Biotechnology
  • Artificial Intelligence
  • Wearable Technology

Background:

  • Metabolic odor contains biometric information crucial for tracking metabolic conditions.
  • Decoding physiological signals of metabolic states is challenging for real-time health monitoring.
  • Current technologies for personal health digitization face limitations in metabolic monitoring.

Purpose of the Study:

  • To introduce a monolithic AI-wearable biometric ring for non-invasive monitoring of skin volatile organic compounds (VOCs).
  • To enable reliable tracking of diet-related metabolism using advanced sensor technology.
  • To advance personal health digitization through real-time metabolic insights.

Main Methods:

  • Development of a monolithic AI-wearable biometric ring with a miniaturized olfactory sensor chip (0.0081 mm²).
  • Utilization of an attention-based feature fusion algorithm for data analysis.
  • Incorporation of three-dimensional vertical hetero-interfaces for enhanced sensitivity.

Main Results:

  • The ring successfully discriminates six categories of diet-induced VOC patterns and three physical activities.
  • Food intake is quantified with a high determination coefficient of 0.991.
  • Gas chromatography-mass spectrometry validation confirmed the ring's efficacy in human body odor monitoring.

Conclusions:

  • The AI-wearable biometric ring offers a novel approach to non-invasively monitor diet-induced metabolic changes.
  • The technology demonstrates broad efficacy in human body odor monitoring, supporting metabolic adherence.
  • This advancement paves the way for next-generation personal health digitization and real-time health management.