Journal article
Near-Infrared Spectroscopic Measurement of Physiological Glucose Levels in Variable Matrices of Protein and Triglycerides
Analytical chemistry (Washington), Vol.68(7), pp.1124-1135
04/01/1996
DOI: 10.1021/ac950751x
PMID: 8651489
Abstract
Selective calibration models are generated for glucose over the 1−20 nM concentration range by use of partial least-squares regression analysis of near-infrared spectra from 5000 to 4000 cm-1. Two spectral data sets are used to simulate triglyceride and protein variations in clinical samples. Triacetin is used in one data set to simulate variations in triglyceride levels, and bovine serum albumin (BSA) is used in the second data set to simulate variations in blood protein levels. Although these matrix components possess strong absorption bands that overlap and overshadow the absorption bands of glucose, successful calibration models can be generated with no evidence of prediction bias caused by the different levels of the matrix components. Furthermore, the benefits of using digital Fourier filtering as a preprocessing step are evaluated in terms of calibration performance. The resulting calibration models provide standard errors of prediction of 0.5 and 0.2 mM in triacetin and BSA matrices, respectively. Accurate glucose predictions are demonstrated from spectra that correspond to protein concentrations not present in the calibration data set. Lastly, digital Fourier filtering alone is shown to have only limited ability to isolate glucose signals from those of BSA and triacetin due to similarities in the widths of the absorption bands of the three species.
Details
- Title: Subtitle
- Near-Infrared Spectroscopic Measurement of Physiological Glucose Levels in Variable Matrices of Protein and Triglycerides
- Creators
- Shengtian Pan - Department of Chemistry, University of Iowa, Iowa City, Iowa 52242Hoeil Chung - Department of Chemistry, University of Iowa, Iowa City, Iowa 52242Mark A Arnold - Department of Chemistry, University of Iowa, Iowa City, Iowa 52242Gary W Small - Center for Intelligent Chemical Instrumentation, Department of Chemistry, Clippinger Laboratories, Ohio University, Athens, Ohio 45701-2979
- Resource Type
- Journal article
- Publication Details
- Analytical chemistry (Washington), Vol.68(7), pp.1124-1135
- DOI
- 10.1021/ac950751x
- PMID
- 8651489
- ISSN
- 0003-2700
- eISSN
- 1520-6882
- Language
- English
- Date published
- 04/01/1996
- Academic Unit
- Center for Biocatalysis and Bioprocessing; Fraternal Order of Eagles Diabetes Research Center; Chemistry
- Record Identifier
- 9984216670602771
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