A research plan is proposed to advance the development of noninvasive sensing technology for the in vivo measurement of glucose and urea in human subjects. The proposed approach is to pass a specific band of near-infrared light through a selected measurement site on the body and then extract the desired analytical information from the resulting noninvasive spectrum. Results from our previous work demonstrate that 1) the combination spectral region is superior to all other near-infrared spectral regions for distinguishing glucose in complex biological matrices, 2) spectral quality is critical and RMS-noise levels of several micro-absorbance units (pAU) are necessary, and 3) sufficient sample thickness is required to provide distinguishable absorbance signals for analysis. Each of these requirements is satisfied in the proposed research plan. A customized Fourier transform near infrared spectrometer will be used to provide high quality combination spectra through human tissue with noise levels on the order of 2 pAU. A fiber-optic interface is proposed for collecting noninvasive spectra through a pinch of skin on the back of the hand or the septal cartilage of the nose. Each of these putative measurement sites possesses the appropriate thickness and chemical composition for successful glucose and urea measurements. For the first time, we have both the instrumentation and putative measurement sites that are compatible with noninvasive measurements with combination spectra. A series of in vitro experiments are proposed to characterize this system for the ability to measure glucose and urea with limits of detection of 2 and 1.5 mM, respectively. Animal models have also been identified for both measurement sites and will be used to rigorously establish the analytical utility of this approach. Finally, human subject experiments are proposed to obtain critical information about the human in vivo environment and to evaluate actual in vivo measurements of glucose and urea. Success will provide tremendous healthcare benefits arising from an improvement in the treatment and management of diabetes and end stage renal disease.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Research Project (R01)
Project #
5R01DK060657-04
Application #
6935293
Study Section
Special Emphasis Panel (ZRG1-SSS-6 (10))
Program Officer
Arreaza-Rubin, Guillermo
Project Start
2002-09-20
Project End
2007-08-31
Budget Start
2005-09-01
Budget End
2007-08-31
Support Year
4
Fiscal Year
2005
Total Cost
$285,743
Indirect Cost
Name
University of Iowa
Department
Chemistry
Type
Schools of Arts and Sciences
DUNS #
062761671
City
Iowa City
State
IA
Country
United States
Zip Code
52242
Alexeeva, Natalia V; Arnold, Mark A (2010) Impact of tissue heterogeneity on noninvasive near-infrared glucose measurements in interstitial fluid of rat skin. J Diabetes Sci Technol 4:1041-54
Wan, Boyong; Small, Gary W (2010) Wavelet analysis used for spectral background removal in the determination of glucose from near-infrared single-beam spectra. Anal Chim Acta 681:63-70
Alexeeva, Natalia V; Arnold, Mark A (2009) Near-infrared microspectroscopic analysis of rat skin tissue heterogeneity in relation to noninvasive glucose sensing. J Diabetes Sci Technol 3:219-32
Kramer, Kirsten E; Small, Gary W (2009) Digital filtering and model updating methods for improving the robustness of near-infrared multivariate calibrations. Appl Spectrosc 63:246-55
Liu, Lingzhi; Arnold, Mark A (2009) Selectivity for glucose, glucose-6-phosphate, and pyruvate in ternary mixtures from the multivariate analysis of near-infrared spectra. Anal Bioanal Chem 393:669-77
Cho, David S; Olesberg, Jonathon T; Flanigan, Michael J et al. (2008) On-line near-infrared spectrometer to monitor urea removal in real time during hemodialysis. Appl Spectrosc 62:866-72
Kramer, Kirsten E; Small, Gary W (2007) Blank augmentation protocol for improving the robustness of multivariate calibrations. Appl Spectrosc 61:497-506
Sulub, Yusuf; Small, Gary W (2007) Spectral simulation methodology for calibration transfer of near-infrared spectra. Appl Spectrosc 61:406-13
Ren, Min; Arnold, Mark A (2007) Comparison of multivariate calibration models for glucose, urea, and lactate from near-infrared and Raman spectra. Anal Bioanal Chem 387:879-88
Olesberg, Jonathon T; Liu, Lingzhi; Van Zee, Valerie et al. (2006) In vivo near-infrared spectroscopy of rat skin tissue with varying blood glucose levels. Anal Chem 78:215-23

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