An optimized non-invasive glucose sensing based on scattering and absorption separating using near-infrared spectroscopy

Tongshuai Han; Xueyu Liu; Jin Liu; Kexin Xu

doi:10.1117/12.2507600

20 February 2019 An optimized non-invasive glucose sensing based on scattering and absorption separating using near-infrared spectroscopy

Tongshuai Han, Xueyu Liu, Jin Liu, Kexin Xu

Author Affiliations +

Proceedings Volume 10885, Optical Diagnostics and Sensing XIX: Toward Point-of-Care Diagnostics; 108850S (2019) https://doi.org/10.1117/12.2507600
Event: SPIE BiOS, 2019, San Francisco, California, United States

Abstract

In the non-invasive blood glucose sensing based on near-infrared spectroscopy, the skin scattering variation during the long-term blood glucose monitoring would be a big challenge to get an accurate measurement result. We present a scattering and absorption separating method for the near-infrared diffuse reflectance spectra of scattering media. And we use the extracted absorption part, which is the medium’s effective attenuation coefficient (EAC) spectrum, to improve the accuracy for long-term glucose monitoring. We optimized the light source-detector separation (SDS) setup to realize the maximum sensitivity for the EAC spectra-based measurement. The measurement uses two SDSs to perform a differential on their diffuse reflectance spectra, as the differential could help to reduce the light drift during the long-term in vivo tissue monitoring. The SDS setup optimization for the two positions was tested by the Monte-Carlo (MC) simulation of tissue. The human oral glucose tolerance test (OGTT) with the optimized SDSs also shows a satisfactory blood glucose prediction result. In conclusion, this method shows a good application potential in the non-invasive blood glucose sensing.

Conference Presentation

Citation Download Citation

Tongshuai Han, Xueyu Liu, Jin Liu, and Kexin Xu "An optimized non-invasive glucose sensing based on scattering and absorption separating using near-infrared spectroscopy", Proc. SPIE 10885, Optical Diagnostics and Sensing XIX: Toward Point-of-Care Diagnostics, 108850S (20 February 2019); https://doi.org/10.1117/12.2507600

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