Abstract
Diabetes, a disorder in the control of blood-glucose levels, is one of the most serious metabolic diseases worldwide. Among the investigated technologies for continuous glucose monitoring (CGM), near-infrared spectroscopy (NIR) has received the most attention. There have been many attempts to develop NIR-based CGM systems with promising in-vitro results, but they lacked robustness for in-vivo use. We critically review the application of chemometrics for CGM and the research needed. Pre-processing and multivariate-calibration techniques, which allow exploiting expert knowledge on the potential interferences, are possible solutions. The combination and first overtone bands in the ranges 2050-2300nm and 1500-1800nm, respectively, are the most informative regions. We therefore recommended selecting the most informative variables and exploiting the available expert knowledge on known interferences in pre-processing or multivariate calibration to develop an NIR-based CGM sensor for in-vivo use.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 147-158 |
| Number of pages | 12 |
| Journal | TrAC - Trends in Analytical Chemistry |
| Volume | 67 |
| DOIs | |
| State | Published - Apr 1 2015 |
Keywords
- Blood-glucose measurement
- Chemometrics
- Continuous glucose monitoring
- Diabetes
- In-vivo use
- Multivariate calibration
- NIR spectroscopy
- Pre-processing strategy
- Sensor
- Variable selection
ASJC Scopus subject areas
- Analytical Chemistry
- Spectroscopy