Application of LaserBreath-001 for breath acetone measurement in subjects with diabetes mellitus

Zhennan Wang; Meixiu Sun; Zhuying Chen; Xiaomeng Zhao; Yingxin Li; Chuji Wang

doi:10.1117/12.2246152

14 November 2016 Application of LaserBreath-001 for breath acetone measurement in subjects with diabetes mellitus

Zhennan Wang, Meixiu Sun, Zhuying Chen, Xiaomeng Zhao, Yingxin Li, Chuji Wang

Proceedings Volume 10025, Advanced Sensor Systems and Applications VII; 100250S (2016) https://doi.org/10.1117/12.2246152
Event: SPIE/COS Photonics Asia, 2016, Beijing, China

Abstract

Breath acetone is a promising biomarker of diabetes mellitus. With an integrated standalone, on-site cavity ringdown breath acetone analyzer, LaserBreath-001, we tested breath samples from 23 type 1 diabetic (T1D) patients, 312 type 2 diabetic (T2D) patients, 52 healthy subjects. In the cross-sectional studies, the obtained breath acetone concentrations were higher in the diabetic subjects compared with those in the control group. No correlation between breath acetone and simultaneous BG was observed in the T1D, T2D, and healthy subjects. A moderate positive correlation between the mean individual breath acetone concentrations and the mean individual BG levels was observed in the 20 T1D patients without ketoacidosis. In a longitudinal study, the breath acetone concentrations in a T1D patient with ketoacidosis decreased significantly and remained stable during the 5-day hospitalization. The results from a relatively large number of subjects tested indicate that an elevated mean breath acetone concentration exists in diabetic patients in general. Although many physiological parameters affect breath acetone concentrations, fast (<1 min) and on site breath acetone measurement can be used for diabetic screening and management under a specifically controlled condition.

Citation Download Citation

Zhennan Wang, Meixiu Sun, Zhuying Chen, Xiaomeng Zhao, Yingxin Li, and Chuji Wang "Application of LaserBreath-001 for breath acetone measurement in subjects with diabetes mellitus", Proc. SPIE 10025, Advanced Sensor Systems and Applications VII, 100250S (14 November 2016); https://doi.org/10.1117/12.2246152

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