Evaluation of accuracy dependence of Raman spectroscopic models on the ratio of calibration and validation points for non-invasive glucose sensing
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...
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| Veröffentlicht in: | Analytical and bioanalytical chemistry 2018-10, Vol.410 (25), p.6469-6475 |
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| creator | Singh, Surya P. Mukherjee, Soumavo Galindo, Luis H. So, Peter T. C. Dasari, Ramachandra Rao Khan, Uzma Zubair Kannan, Raghuraman Upendran, Anandhi Kang, Jeon Woong |
| description | 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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| doi_str_mv | 10.1007/s00216-018-1244-y |
| format | Article |
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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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| subjects | Accuracy Analytical Chemistry Biochemistry Biosensing Techniques - methods Blood glucose Blood Glucose - analysis Calibration Characterization and Evaluation of Materials Chemistry Chemistry and Materials Science Chemoreception Dependence Diabetes Fiber optic equipment Fiber optics Food Science Glucose Laboratory Medicine Least-Squares Analysis Mathematical models Model accuracy Models, Biological Monitoring/Environmental Analysis Optical fibers Patient compliance Regression analysis Research Paper Spectrum Analysis, Raman - methods Spectrum Analysis, Raman - standards Validation Studies as Topic |
| title | Evaluation of accuracy dependence of Raman spectroscopic models on the ratio of calibration and validation points for non-invasive glucose sensing |
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