Spectroscopic approach for dynamic bioanalyte tracking with minimal concentration information
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Spegazzini-2014-Spectroscopic approach.pdf
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Author(s)
Spegazzini, Nicolas
Barman, Ishan
Dingari, Narahara Chari
Pandey, Rishikesh
Soares, Jaqueline S.
Ozaki, Yukihiro
Dasari, Ramachandra Rao
Date Issued
November 2014
Journal
Scientific Reports
Publisher
Nature Publishing Group
Citation
Spegazzini, Nicolas, Ishan Barman, Narahara Chari Dingari, Rishikesh Pandey, Jaqueline S. Soares, Yukihiro Ozaki, and Ramachandra Rao Dasari. “Spectroscopic Approach for Dynamic Bioanalyte Tracking with Minimal Concentration Information.” Sci. Rep. 4 (November 12, 2014): 7013.
Version
Final published version
Abstract
Vibrational spectroscopy has emerged as a promising tool for non-invasive, multiplexed measurement of blood constituents - an outstanding problem in biophotonics. Here, we propose a novel analytical framework that enables spectroscopy-based longitudinal tracking of chemical concentration without necessitating extensive a priori concentration information. The principal idea is to employ a concentration space transformation acquired from the spectral information, where these estimates are used together with the concentration profiles generated from the system kinetic model. Using blood glucose monitoring by Raman spectroscopy as an illustrative example, we demonstrate the efficacy of the proposed approach as compared to conventional calibration methods. Specifically, our approach exhibits a 35% reduction in error over partial least squares regression when applied to a dataset acquired from human subjects undergoing glucose tolerance tests. This method offers a new route at screening gestational diabetes and opens doors for continuous process monitoring without sample perturbation at intermediate time points.
MIT Department
Massachusetts Institute of Technology. Department of Chemistry
Massachusetts Institute of Technology. Laser Biomedical Research Center
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DOI of Published Version
https://doi.org/10.1038/srep07013
