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
N1 - Publisher Copyright:
© 2014 Elsevier B.V.
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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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 -