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 |
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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
Cite this
Multivariate calibration of NIR spectroscopic sensors for continuous glucose monitoring. / Goodarzi, Mohammad; Sharma, Sandeep; Ramon, Herman; Saeys, Wouter.
In: TrAC - Trends in Analytical Chemistry, Vol. 67, 01.04.2015, p. 147-158.Research output: Contribution to journal › Review article
}
TY - JOUR
T1 - Multivariate calibration of NIR spectroscopic sensors for continuous glucose monitoring
AU - Goodarzi, Mohammad
AU - Sharma, Sandeep
AU - Ramon, Herman
AU - Saeys, Wouter
PY - 2015/4/1
Y1 - 2015/4/1
N2 - 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.
AB - 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.
KW - Blood-glucose measurement
KW - Chemometrics
KW - Continuous glucose monitoring
KW - Diabetes
KW - In-vivo use
KW - Multivariate calibration
KW - NIR spectroscopy
KW - Pre-processing strategy
KW - Sensor
KW - Variable selection
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UR - http://www.scopus.com/inward/citedby.url?scp=84924935321&partnerID=8YFLogxK
U2 - 10.1016/j.trac.2014.12.005
DO - 10.1016/j.trac.2014.12.005
M3 - Review article
AN - SCOPUS:84924935321
VL - 67
SP - 147
EP - 158
JO - TrAC - Trends in Analytical Chemistry
JF - TrAC - Trends in Analytical Chemistry
SN - 0165-9936
ER -