Noninvasive blood glucose measurement system based on three wavelengths in near-infrared region

Near-infrared region of optical spectrum extends from 0.7 to 2.5μm and can be used for quantitative measurement of organic functional groups, especially C-H, O-H, N-H and C=O. Analyzing sample concentration by near infrared spectroscopy focuses on the design of the optical sensor and the spectral data processing. Noninvasive blood glucose measurement methods using near-infrared spectroscopy usually apply a beam of light to irradiate the blood region of human, and then extract the information of blood glucose from the spectrum. The key is to improve the signal to noise ratio so that very low glucose absorption can be detected. In this paper, according to the absorption of glucose, a noninvasive blood glucose measurement system based on three wavelengths in the near-infrared region was designed. The system included several important parts such as the light source, the optical chopper, the detector and the lock-in amplifier. The three wavelengths were respectively chosen at the signal wavelength 1610nm by glucose absorption peak in the overtone band and the reference wavelengths 1200/1350nm to eliminate the interference effect. The optical probe used an annular light bundle to greatly increase the intensity of incidence light and improve the signal-noise ratio. Two group experiments of glucose aqueous solutions with different concentration interval in the normal human physiological blood glucose range (0-500mg/dL) have been done to evaluate the predictive performance of the system. In these group experiments, the partial least square algorithm was used to predict the glucose concentration. The preliminary results showed when the interval was 100mg/dL, the correlation coefficient (R) was 0.998 and the root mean square error of prediction (RMSEP) was 17.08mg/dL; and when the interval was 20mg/dL, the values of R and RMSEP were 0.959 and 23.22mg/dL, respectively.

[1]  G. Coté,et al.  The use of polarized laser light through the eye for noninvasive glucose monitoring. , 1999, Diabetes technology & therapeutics.

[2]  Yaochun Shen,et al.  Advances in photoacoustic noninvasive glucose testing. , 1999, Clinical chemistry.

[3]  David J S Birch,et al.  Non-invasive glucose monitoring by NAD(P)H autofluorescence spectroscopy in fibroblasts and adipocytes: a model for skin glucose sensing. , 2003, Diabetes technology & therapeutics.

[4]  E. Stark,et al.  Near-Infrared Analysis (NIRA): A Technology for Quantitative and Qualitative Analysis , 1986 .

[5]  T. Chalmers,et al.  Meta-analysis of effects of intensive blood-glucose control on late complications of type I diabetes , 1993, The Lancet.

[6]  Gong Hui A Blood Glucose Detecting System Based on Three Wavelengths , 2007 .

[7]  C. Fischbacher,et al.  Enhancing calibration models for non-invasive near-infrared spectroscopical blood glucose determination , 1997 .

[8]  刘蓉,et al.  Application of transcutaneous diffuse reflectance spectroscopy in the measurement of blood glucose concentration , 2004 .

[9]  H. M. Heise,et al.  Clinical Chemistry and near Infrared Spectroscopy: Technology for Non-Invasive Glucose Monitoring , 1998 .

[10]  A. Sämann,et al.  Non-invasive blood glucose monitoring by means of near infrared spectroscopy: investigation of long-term accuracy and stability. , 2000, Experimental and clinical endocrinology & diabetes : official journal, German Society of Endocrinology [and] German Diabetes Association.

[11]  James L Lambert,et al.  Glucose determination in human aqueous humor with Raman spectroscopy. , 2005, Journal of biomedical optics.

[12]  Gilwon Yoon,et al.  Determination of glucose concentration in a scattering medium based on selected wavelengths by use of an overtone absorption band. , 2002, Applied optics.

[13]  G. Keusch,et al.  Infection and diabetes: the case for glucose control. , 1982, The American journal of medicine.

[14]  P. Zimmet,et al.  Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus. Provisional report of a WHO Consultation , 1998, Diabetic medicine : a journal of the British Diabetic Association.

[15]  R J McNichols,et al.  Optical glucose sensing in biological fluids: an overview. , 2000, Journal of biomedical optics.

[16]  T. B. Blank,et al.  Noninvasive prediction of glucose by near-infrared diffuse reflectance spectroscopy. , 1999, Clinical chemistry.

[17]  Jun Chen,et al.  Molar Absorptivities of Glucose and other Biological Molecules in Aqueous Solutions over the First Overtone and Combination Regions of the Near-Infrared Spectrum , 2004, Applied spectroscopy.

[18]  O. Khalil,et al.  Non-invasive glucose measurement technologies: an update from 1999 to the dawn of the new millennium. , 2004, Diabetes technology & therapeutics.