The use of Fourier-transform infrared spectroscopy for the quantitative determination of glucose concentration in whole blood

Fourier-transform infrared transmission spectroscopy has been used for the determination of glucose concentration in whole blood samples from 28 patients. A 4-vector partial least-squares calibration model, using the spectral range 950-1200 cm(-1), yielded a standard-error-of-prediction of 0.59 mM for an independent test set. For blood samples from a single patient, we found that the glucose concentration was proportional to the difference between the values of the second derivative spectrum at 1082 cm(-1) and 1093 cm(-1). This indicates that spectroscopy at these two specific wavenumbers alone could be used to determine the glucose concentration in blood plasma samples from a single patient, with a prediction error of 0.95 mM.

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

[2]  Bernhard Lendl,et al.  Application of Mid-Infrared Transmission Spectrometry to the Direct Determination of Glucose in Whole Blood , 1998 .

[3]  M. Mathlouthi,et al.  FTIR and laser-Raman spectra of oligosaccharides in water: characterization of the glycosidic bond. , 1996, Carbohydrate research.

[4]  R B Smith,et al.  Insulin dependent diabetes mellitus. , 1992, The New Zealand medical journal.

[5]  R A Shaw,et al.  Multianalyte Serum Analysis Using Mid-Infrared Spectroscopy , 1998, Annals of clinical biochemistry.

[6]  M A Arnold,et al.  Non-invasive glucose monitoring. , 1996, Current opinion in biotechnology.

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

[8]  Kenneth R. Beebe,et al.  An introduction to multivariate calibration and analysis , 1987 .

[9]  K. Volka,et al.  Application of Molecular Spectroscopy in the Mid-Infrared Region to the Determination of Glucose and Cholesterol in Whole Blood and in Blood Serum , 1997 .

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

[11]  H. Mantsch,et al.  Multianalyte Serum Assays from Mid-IR Spectra of Dry Films on Glass Slides , 2000 .

[12]  H. M. Heise,et al.  Multivariate determination of glucose in whole blood by attenuated total reflection infrared spectroscopy , 1989 .

[13]  S. Genuth,et al.  The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. , 1993, The New England journal of medicine.

[14]  Yitzhak Mendelson,et al.  Multivariate Determination of Glucose in Whole Blood Using Partial Least-Squares and Artificial Neural Networks Based on Mid-Infrared Spectroscopy , 1993 .

[15]  Kevin H. Hazen,et al.  Measurement of glucose and other analytes in undiluted human serum with near-infrared transmission spectroscopy , 1998 .

[16]  G. Gibbons,et al.  Noninvasive glucose monitoring. , 2000, The Journal of family practice.

[17]  G. Cazorla,et al.  Plasma protein contents determined by Fourier-transform infrared spectrometry. , 2001, Clinical chemistry.

[18]  David M. Haaland,et al.  Post-Prandial Blood Glucose Determination by Quantitative Mid-Infrared Spectroscopy , 1992 .

[19]  H. M. Heise,et al.  Rapid and reliable spectral variable selection for statistical calibrations based on PLS-regression vector choices , 1997 .

[20]  Henry H. Mantsch,et al.  Infrared spectroscopy of biomolecules , 1996 .

[21]  D. K. Buslov,et al.  Analysis of the results of α-d-glucose Fourier transform infrared spectrum deconvolution: comparison with experimental and theoretical data , 1998 .