In Vivo Noninvasive Measurement of Blood Glucose by Near-Infrared Diffuse-Reflectance Spectroscopy

This paper reports in situ noninvasive blood glucose monitoring by use of near-infrared (NIR) diffuse-reflectance spectroscopy. The NIR spectra of the human forearm were measured in vivo by using a pair of source and detector optical fibers separated by a distance of 0.65 mm on the skin surface. This optical geometry enables the selective measurement of dermis tissue spectra due to the skin's optical properties and reduces the interference noise arising from the stratum corneum. Oral glucose intake experiments were performed with six subjects (including a single subject with type I diabetes) whose NIR skin spectra were measured at the forearm. Partial least-squares regression (PLSR) analysis was carried out and calibration equations were obtained with each subject individually. Without exception among the six subjects, the regression coefficient vectors of their calibration models were similar to each other and had a positive peak at around 1600 nm, corresponding to the characteristic absorption peak of glucose. This result indicates that there is every possibility of glucose detection in skin tissue using our measurement system. We also found that there was a good correlation between the optically predicted values and the directly measured values of blood samples with individual subjects. The potential of noninvasive blood glucose monitoring using our methodology was demonstrated by the present study.

[1]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[2]  J. Pennebaker,et al.  Accuracy of Perceiving Blood Glucose in IDDM , 1985, Diabetes Care.

[3]  D. Cox,et al.  Evaluating Clinical Accuracy of Systems for Self-Monitoring of Blood Glucose , 1987, Diabetes Care.

[4]  J. W. Hall,et al.  Near-infrared spectrophotometry: a new dimension in clinical chemistry. , 1992, Clinical chemistry.

[5]  David M. Haaland,et al.  Reagentless Near-Infrared Determination of Glucose in Whole Blood Using Multivariate Calibration , 1992 .

[6]  E. V. Thomas,et al.  Noninvasive glucose monitoring in diabetic patients: a preliminary evaluation. , 1992, Clinical chemistry.

[7]  H. Heise,et al.  Noninvasive Blood Glucose Assay by Near-Infrared Diffuse Reflectance Spectroscopy of the Human Inner Lip , 1993 .

[8]  J. B. Reeves Influence of pH, ionic strength, and physical state on the near-infrared spectra of model compounds , 1994 .

[9]  Peter J. Fleming,et al.  An Overview of Evolutionary Algorithms in Multiobjective Optimization , 1995, Evolutionary Computation.

[10]  H. Heise,et al.  Optical diffuse reflectance accessory for measurements of skin tissue by near-infrared spectroscopy. , 1995, Applied optics.

[11]  B. Wilson,et al.  Monte Carlo modeling studies of the effect of physiological factors andother analytes on the determination of glucose concentration in vivoby near infrared optical absorption and scattering measurements. , 1997, Journal of biomedical optics.

[12]  W Thomas,et al.  Glucose measurement in patients with diabetes mellitus with dermal interstitial fluid. , 1997, The Journal of laboratory and clinical medicine.

[13]  K Danzer,et al.  Non-Invasive Blood Glucose Monitoring by Means of near Infrared Spectroscopy: Methods for Improving the Reliability of the Calibration Models , 1997, The International journal of artificial organs.

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

[15]  H. M. Heise,et al.  Clinical Chemistry and near Infrared Spectroscopy: Multicomponent Assay for Human Plasma and its Evaluation for the Determination of Blood Substrates , 1998 .

[16]  S. Wold,et al.  Orthogonal signal correction of near-infrared spectra , 1998 .

[17]  M A Arnold,et al.  Phantom glucose calibration models from simulated noninvasive human near-infrared spectra. , 1998, Analytical chemistry.

[18]  Kevin H. Hazen,et al.  Measurement of Glucose in Water with First-Overtone Near-Infrared Spectra , 1998 .

[19]  O. Khalil,et al.  Spectroscopic and clinical aspects of noninvasive glucose measurements. , 1999, Clinical chemistry.

[20]  Yukihiro Ozaki,et al.  Analysis of Near-Infrared Spectra of Complicated Biological Fluids by Two-Dimensional Correlation Spectroscopy: Protein and Fat Concentration-Dependent Spectral Changes of Milk , 1999 .

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

[22]  M. Storrie-Lombardi,et al.  A noninvasive glucose monitor: preliminary results in rabbits. , 1999, Diabetes technology & therapeutics.

[23]  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.

[24]  G L Coté,et al.  Noninvasive and minimally-invasive optical monitoring technologies. , 2001, The Journal of nutrition.

[25]  Kevin H. Hazen,et al.  Comparison of glucose concentration in interstitial fluid, and capillary and venous blood during rapid changes in blood glucose levels. , 2001, Diabetes technology & therapeutics.

[26]  John Michael Morookian,et al.  Measurement of aqueous glucose in a model anterior chamber using Raman spectroscopy , 2002 .

[27]  S. Wold,et al.  Wavelength interval selection in multicomponent spectral analysis by moving window partial least-squares regression with applications to mid-infrared and near-infrared spectroscopic data. , 2002, Analytical chemistry.

[28]  Mamoru Tamura,et al.  Noninvasive blood glucose monitoring by novel optical-fiber probe , 2002, SPIE BiOS.

[29]  Yukio Yamada,et al.  Monte Carlo Simulation of Near Infrared Reflectance Spectroscopy in the Wavelength Range from 1000 nm to 1900 nm , 2003 .

[30]  Yukio Yamada,et al.  Noninvasive blood glucose assay using a newly developed near-infrared system , 2003 .

[31]  Y. Ozaki,et al.  Removal of Interference Signals Due to Water from in vivo Near-Infrared (NIR) Spectra of Blood Glucose by Region Orthogonal Signal Correction (ROSC) , 2004, Analytical sciences : the international journal of the Japan Society for Analytical Chemistry.

[32]  Jian-hui Jiang,et al.  Spectral regions selection to improve prediction ability of PLS models by changeable size moving window partial least squares and searching combination moving window partial least squares , 2004 .