VIS/NIR/FIR spectroscopy for blood glucose monitoring: A review
Source abstract
Abstract
Continuous glucose monitoring (CGM) is of vital significance for the health status and quality of life of diabetic patients, providing guidance for diet, exercise, and medication. However, most commercial monitoring devices have been designed based on invasive or minimally invasive technologies, which seriously limits their further popularity. Under these circumstances, much research has focused on developing noninvasive technologies, among which CGM techniques based on visible-near-far infrared spectroscopy have demonstrated great potential. In this inclusive review, we first introduce the basic concepts pertinent to noninvasive technologies. Accordingly, the latest development of CGM techniques based on visible-near-far infrared spectroscopy is summarized. In particular, we introduce the application of machine learning in CGM techniques. Finally, a promising solution for CGM techniques that takes advantage of the enhancement of the localized electromagnetic field of surface plasmonic is presented. This review aims to summarize current technologies in the field of CGM, along with their advantages and disadvantages. Possible solutions are also provided to guide the development of this research area.
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Research context
OpenAlex topics: Spectroscopy Techniques in Biomedical and Chemical Research · Spectroscopy and Chemometric Analyses · Water Quality Monitoring and Analysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Physical Science and Technology, Heilongjiang University 1 , Harbin 150080,
College of Electronic Engineering, Heilongjiang University 2 , Harbin 150080,
Funding
Postdoctoral Science Foundation of Heilongjiang Province · Fundamental Research Funds for the Provincial Universities · Natural Science Foundation of Heilongjiang Province
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