Evaluation of accuracy dependence of Raman spectroscopic models on the ratio of calibration and validation points for non-invasive glucose sensing

被引:0
|
作者
Surya P. Singh
Soumavo Mukherjee
Luis H. Galindo
Peter T. C. So
Ramachandra Rao Dasari
Uzma Zubair Khan
Raghuraman Kannan
Anandhi Upendran
Jeon Woong Kang
机构
[1] Massachusetts Institute of Technology,Laser Biomedical Research Center, G. R. Harrison Spectroscopy Laboratory
[2] University of Missouri-Columbia,Department of Biological Engineering, School of Medicine
[3] University of Missouri-Columbia,Department of Endocrinology, School of Medicine
[4] University of Missouri-Columbia,Department of Radiology, School of Medicine
[5] University of Missouri-Columbia,MU
[6] University of Missouri-Columbia,institute of Clinical and Translational Sciences (MU
来源
Analytical and Bioanalytical Chemistry | 2018年 / 410卷
关键词
Diabetes; Raman spectroscopy; Glucose sensing; Partial least squares regression;
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学科分类号
摘要
Optical monitoring of blood glucose levels for non-invasive diagnosis is a growing area of research. Recent efforts in this direction have been inclined towards reducing the requirement of calibration framework. Here, we are presenting a systematic investigation on the influence of variation in the ratio of calibration and validation points on the prospective predictive accuracy of spectral models. A fiber-optic probe coupled Raman system has been employed for transcutaneous measurements. Limit of agreement analysis between serum and partial least square regression predicted spectroscopic glucose values has been performed for accurate comparison. Findings are suggestive of strong predictive accuracy of spectroscopic models without requiring substantive calibration measurements.
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页码:6469 / 6475
页数:6
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