Evaluation of accuracy dependence of Raman spectroscopic models on the ratio of calibration and validation points for non-invasive glucose sensing
© 2018, Springer-Verlag GmbH Germany, part of Springer Nature. 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...
| Main Authors: | , , , , , , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Springer Nature
2021
|
| Online Access: | https://hdl.handle.net/1721.1/135824 |
| _version_ | 1826197328041607168 |
|---|---|
| author | Singh, Surya P Mukherjee, Soumavo Galindo, Luis H So, Peter TC Dasari, Ramachandra Rao Khan, Uzma Zubair Kannan, Raghuraman Upendran, Anandhi Kang, Jeon Woong |
| author2 | Massachusetts Institute of Technology. Laser Biomedical Research Center |
| author_facet | Massachusetts Institute of Technology. Laser Biomedical Research Center Singh, Surya P Mukherjee, Soumavo Galindo, Luis H So, Peter TC Dasari, Ramachandra Rao Khan, Uzma Zubair Kannan, Raghuraman Upendran, Anandhi Kang, Jeon Woong |
| author_sort | Singh, Surya P |
| collection | MIT |
| description | © 2018, Springer-Verlag GmbH Germany, part of Springer Nature. 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. [Figure not available: see fulltext.]. |
| first_indexed | 2024-09-23T10:46:19Z |
| format | Article |
| id | mit-1721.1/135824 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T10:46:19Z |
| publishDate | 2021 |
| publisher | Springer Nature |
| record_format | dspace |
| spelling | mit-1721.1/1358242023-02-23T15:28:41Z Evaluation of accuracy dependence of Raman spectroscopic models on the ratio of calibration and validation points for non-invasive glucose sensing Singh, Surya P Mukherjee, Soumavo Galindo, Luis H So, Peter TC Dasari, Ramachandra Rao Khan, Uzma Zubair Kannan, Raghuraman Upendran, Anandhi Kang, Jeon Woong Massachusetts Institute of Technology. Laser Biomedical Research Center © 2018, Springer-Verlag GmbH Germany, part of Springer Nature. 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. [Figure not available: see fulltext.]. 2021-10-27T20:29:29Z 2021-10-27T20:29:29Z 2018 2020-08-10T14:37:24Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/135824 en 10.1007/S00216-018-1244-Y Analytical and Bioanalytical Chemistry Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Springer Nature PMC |
| spellingShingle | Singh, Surya P Mukherjee, Soumavo Galindo, Luis H So, Peter TC Dasari, Ramachandra Rao Khan, Uzma Zubair Kannan, Raghuraman Upendran, Anandhi Kang, Jeon Woong Evaluation of accuracy dependence of Raman spectroscopic models on the ratio of calibration and validation points for non-invasive glucose sensing |
| title | Evaluation of accuracy dependence of Raman spectroscopic models on the ratio of calibration and validation points for non-invasive glucose sensing |
| title_full | Evaluation of accuracy dependence of Raman spectroscopic models on the ratio of calibration and validation points for non-invasive glucose sensing |
| title_fullStr | Evaluation of accuracy dependence of Raman spectroscopic models on the ratio of calibration and validation points for non-invasive glucose sensing |
| title_full_unstemmed | Evaluation of accuracy dependence of Raman spectroscopic models on the ratio of calibration and validation points for non-invasive glucose sensing |
| title_short | Evaluation of accuracy dependence of Raman spectroscopic models on the ratio of calibration and validation points for non-invasive glucose sensing |
| title_sort | evaluation of accuracy dependence of raman spectroscopic models on the ratio of calibration and validation points for non invasive glucose sensing |
| url | https://hdl.handle.net/1721.1/135824 |
| work_keys_str_mv | AT singhsuryap evaluationofaccuracydependenceoframanspectroscopicmodelsontheratioofcalibrationandvalidationpointsfornoninvasiveglucosesensing AT mukherjeesoumavo evaluationofaccuracydependenceoframanspectroscopicmodelsontheratioofcalibrationandvalidationpointsfornoninvasiveglucosesensing AT galindoluish evaluationofaccuracydependenceoframanspectroscopicmodelsontheratioofcalibrationandvalidationpointsfornoninvasiveglucosesensing AT sopetertc evaluationofaccuracydependenceoframanspectroscopicmodelsontheratioofcalibrationandvalidationpointsfornoninvasiveglucosesensing AT dasariramachandrarao evaluationofaccuracydependenceoframanspectroscopicmodelsontheratioofcalibrationandvalidationpointsfornoninvasiveglucosesensing AT khanuzmazubair evaluationofaccuracydependenceoframanspectroscopicmodelsontheratioofcalibrationandvalidationpointsfornoninvasiveglucosesensing AT kannanraghuraman evaluationofaccuracydependenceoframanspectroscopicmodelsontheratioofcalibrationandvalidationpointsfornoninvasiveglucosesensing AT upendrananandhi evaluationofaccuracydependenceoframanspectroscopicmodelsontheratioofcalibrationandvalidationpointsfornoninvasiveglucosesensing AT kangjeonwoong evaluationofaccuracydependenceoframanspectroscopicmodelsontheratioofcalibrationandvalidationpointsfornoninvasiveglucosesensing |