Noninvasive Monitoring of Glucose Using Near-Infrared Reflection Spectroscopy of Skin—Constraints and Effective Novel Strategy in Multivariate Calibration
| Autor: | Sven Delbeck, H. Michael Heise, Ralf Marbach |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Blood Glucose
Analyte Materials science noninvasive glucose sensing near-infrared spectroscopy lcsh:Biotechnology Clinical Biochemistry Monte Carlo method 030209 endocrinology & metabolism 01 natural sciences Spectral line Article science-based calibration (SBC) 03 medical and health sciences 0302 clinical medicine lcsh:TP248.13-248.65 Calibration medicine Diabetes Mellitus Spectroscopy Absorption (electromagnetic radiation) Monitoring Physiologic Skin Blood glucose monitoring Spectroscopy Near-Infrared medicine.diagnostic_test Blood Glucose Self-Monitoring 010401 analytical chemistry Near-infrared spectroscopy General Medicine skin tissue reflection spectroscopy 0104 chemical sciences calibration modeling Glucose Biological system |
| Zdroj: | Biosensors Volume 11 Issue 3 Biosensors, Vol 11, Iss 64, p 64 (2021) |
| ISSN: | 2079-6374 |
| Popis: | For many years, successful noninvasive blood glucose monitoring assays have been announced, among which near-infrared (NIR) spectroscopy of skin is a promising analytical method. Owing to the tiny absorption bands of the glucose buried among a dominating variable spectral background, multivariate calibration is required to achieve applicability for blood glucose self-monitoring. The most useful spectral range with important analyte fingerprint signatures is the NIR spectral interval containing combination and overtone vibration band regions. A strategy called science-based calibration (SBC) has been developed that relies on a priori information of the glucose signal (“response spectrum”) and the spectral noise, i.e., estimates of the variance of a sample population with negligible glucose dynamics. For the SBC method using transcutaneous reflection skin spectra, the response spectrum requires scaling due to the wavelength-dependent photon penetration depth, as obtained by Monte Carlo simulations of photon migration based on estimates of optical tissue constants. Results for tissue glucose concentrations are presented using lip NIR-spectra of a type-1 diabetic subject recorded under modified oral glucose tolerance test (OGTT) conditions. The results from the SBC method are extremely promising, as statistical calibrations show limitations under the conditions of ill-posed equation systems as experienced for tissue measurements. The temporal profile differences between the glucose concentration in blood and skin tissue were discussed in detail but needed to be further evaluated. |
| Databáze: | OpenAIRE |
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