Journal article
Phantom Glucose Calibration Models from Simulated Noninvasive Human Near-Infrared Spectra
Analytical chemistry (Washington), Vol.70(9), pp.1773-1781
05/01/1998
DOI: 10.1021/ac9710801
PMID: 9599578
Abstract
The validity of published reports claiming to have successfully measured in vivo blood glucose from noninvasive near-infrared spectra collected in a time-dependent manner is challenged on the basis of results obtained from a phantom glucose spectral data set. An in vitro model is used to simulate noninvasive human near-IR spectra. The phantom glucose data set is created by purposely omitting glucose in these modeled samples. Glucose values are then assigned to successive phantom glucose spectra, and multivariate calibration models are generated for glucose based on partial-least squares regression. As expected, calibration models are incapable of predicting glucose values when the glucose assignments are made randomly. Apparently functional models are obtained, however, when glucose assignments are made in a nonrandom, time-dependent manner. Prediction errors from these nonrandom models are essentially identical to those published by others as evidence of successful noninvasive blood glucose measurements. Chance temporal correlations between assigned glucose concentrations and some uncontrolled experimental parameter are responsible for this apparent model functionality.
Details
- Title: Subtitle
- Phantom Glucose Calibration Models from Simulated Noninvasive Human Near-Infrared Spectra
- Creators
- Mark A Arnold - Department of Chemistry and Optical Science and Technology Center, 230 Iowa Advanced Technology Laboratories, University of Iowa, Iowa City, Iowa 52242, and Center for Intelligent Chemical Instrumentation, Department of Chemistry, Ohio University, Athens, Ohio 45701Jason J Burmeister - Department of Chemistry and Optical Science and Technology Center, 230 Iowa Advanced Technology Laboratories, University of Iowa, Iowa City, Iowa 52242, and Center for Intelligent Chemical Instrumentation, Department of Chemistry, Ohio University, Athens, Ohio 45701Gary W Small - Department of Chemistry and Optical Science and Technology Center, 230 Iowa Advanced Technology Laboratories, University of Iowa, Iowa City, Iowa 52242, and Center for Intelligent Chemical Instrumentation, Department of Chemistry, Ohio University, Athens, Ohio 45701
- Resource Type
- Journal article
- Publication Details
- Analytical chemistry (Washington), Vol.70(9), pp.1773-1781
- DOI
- 10.1021/ac9710801
- PMID
- 9599578
- ISSN
- 0003-2700
- eISSN
- 1520-6882
- Language
- English
- Date published
- 05/01/1998
- Academic Unit
- Center for Biocatalysis and Bioprocessing; Fraternal Order of Eagles Diabetes Research Center; Chemistry
- Record Identifier
- 9984216700702771
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