Evaluation and Validation on Sensitivity of Near-Infrared Diffuse Reflectance in Non-Invasive Human Blood Glucose Measurement

• Published in: Sensors (Basel, Switzerland) Vol. 24; no. 18; p. 5879
• Main Authors: Ge, Qing, Han, Tongshuai, Liu, Rong, Zhang, Zengfu, Sun, Di, Liu, Jin, Xu, Kexin
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 10.09.2024; MDPI
• Subjects: blood glucose; Blood Glucose - analysis; Experiments; Glucose; Humans; Measurement techniques; Monte Carlo Method; near-infrared spectroscopy; non-invasive glucose measurement; Physiology; sensitivity; Signal processing; Simulation; Skin; Spectroscopy, Near-Infrared - methods; Spectrum analysis; blood glucose; non-invasive glucose measurement; near-infrared spectroscopy; sensitivity
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s24185879

In non-invasive blood glucose measurement, the sensitivity of glucose-induced optical signals within human tissue is a crucial reference point. This study evaluates the sensitivity of glucose-induced diffuse reflectance in the 1000-1700 nm range. A key factor in understanding this sensitivity is the rate at which the scattering coefficient changes due to glucose, as it is significantly higher than in non-living media and predominantly influences the diffuse light signal level when blood glucose levels change. The study measured and calculated the changes in the scattering coefficient at 1314 nm, a wavelength chosen for its minimal interference from glucose absorption and other bodily constituents. Based on the Mie scattering theory and the results at 1314 nm, the changes in the scattering coefficient within the 1000-1700 nm range were estimated. Subsequently, the sensitivity of the glucose signal across this range was determined through Monte Carlo (MC) simulations. The findings from 25 human trials indicate that the measured sensitivities at five other typical wavelengths within this band generally align with the sensitivities calculated using the aforementioned method. This research can guide the identification of blood glucose signals and the selection of wavelengths for non-invasive blood glucose measurements.