Determination of glucose in plasma by dry film-based Fourier transformed-infrared spectroscopy coupled with boosting support vector regression.
In the present study, a dry film-based Fourier transformed-infrared (FT-IR) spectroscopic technique, coupled with boosting support vector regression (BSVR), was employed for a blood glucose assay. Potassium thiocyanate (KSCN) was taken in the dry-film method as an internal standard to compensate for any film thickness variation. This technique circumvents interference from water absorption, and requires only 5 microl of a sample. Moving window partial least-squares regression (MWPLSR) was used for wavenumber interval selection before multivariate modeling. By using the BSVR modeling technique, glucose in plasma could be determined over a 0.4 - 20 mmol/l concentration range with satisfactory accuracy. The performance of the BSVR methodology was compared with that of conventional support vector regression (SVR) as well as partial-least squares (PLS). The results demonstrated that BSVR is an effective multivariate calibration tool, providing better performance than conventional PLS and SVR.
Zhou
Yan-Ping
YP
State Key Laboratory of Chemo, Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, PR China.
Xu
Lu
L
Tang
Li-Juan
LJ
Jiang
Jian-Hui
JH
Shen
Guo-Li
GL
Yu
Ru-Qin
RQ
Ozaki
Yukihiro
Y
D001786:Blood Glucose / Q000032:analysis*; D006801:Humans; D012015:Reference Standards; D012044:Regression Analysis; D017550:Spectroscopy, Fourier Transform Infrared / Q000295:instrumentation / Q000379:methods; D013861:Thiocyanates / Q000737:chemistry
D001786:Blood Glucose; D013861:Thiocyanates; C009941:potassium thiocyanate