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A handheld biofluorometric system for acetone detection in exhaled breath condensates
Geng Zhang1, Kenta Ichikawa2, Kenta Iitani2
1Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8510, Japan. m.bdi@tmd.ac.jp.
The Analyst
|January 2, 2025
Summary
A new handheld biosensor uses an enzymatic reaction to detect acetone in breath, aiding in diabetes monitoring. This portable device offers sensitive and selective measurements for clinical diagnosis and wearable applications.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Metabolic Monitoring
Background:
- Acetone is a key marker for human metabolism, crucial for monitoring lipid metabolism and early diabetes detection.
- Current methods for acetone detection may lack the portability and sensitivity required for widespread clinical use.
Purpose of the Study:
- To develop a compact, battery-operated handheld biosensor for acetone detection using fluorescence.
- To evaluate the sensor's performance and its applicability in analyzing exhaled breath condensate.
Main Methods:
- Developed a fluorometric NADH detection system utilizing the enzymatic reaction of secondary alcohol dehydrogenase (S-ADH) with NADH.
- Optimized working conditions and evaluated sensor characteristics for acetone quantification.
- Measured acetone concentrations in exhaled breath condensate from healthy subjects at rest and after fasting.
Main Results:
- The handheld biosensor accurately quantified acetone in the range of 510 nM–1 mM within 1 minute.
- Detected significant differences in acetone levels in exhaled breath condensate between resting and fasting states (p = 0.011).
- The system demonstrated high sensitivity, selectivity, and portability.
Conclusions:
- The developed battery-operated acetone biosensor is a sensitive and selective tool for clinical diagnosis.
- Its handheld portability makes it suitable for wearable biochemical sensors and point-of-care applications.
- This technology holds promise for improved metabolic monitoring and early disease detection.

