Use of partial least squares regression analysis to predict physiological glucose concentrations in vitro

Sabbir Liakat, Kevin A. Bors, Tzu Yung Huang, Anna P M Michel, Eric Zanghi, Claire F. Gmachl

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Partial least squares regression is used to predict glucose concentrations in vitro throughout the physiological range using mid-infrared transmission spectra of glucose in water or serum. Concentrations as low as 30 mg/dL are predicted to clinical accuracy.

Original languageEnglish (US)
Title of host publicationFourier Transform Spectroscopy, FTS 2013
StatePublished - Dec 1 2013
EventFourier Transform Spectroscopy, FTS 2013 - Arlington, VA, United States
Duration: Jun 23 2013Jun 24 2013

Publication series

NameOptics InfoBase Conference Papers
ISSN (Electronic)2162-2701

Other

OtherFourier Transform Spectroscopy, FTS 2013
CountryUnited States
CityArlington, VA
Period6/23/136/24/13

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Atomic and Molecular Physics, and Optics

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  • Cite this

    Liakat, S., Bors, K. A., Huang, T. Y., Michel, A. P. M., Zanghi, E., & Gmachl, C. F. (2013). Use of partial least squares regression analysis to predict physiological glucose concentrations in vitro. In Fourier Transform Spectroscopy, FTS 2013 (Optics InfoBase Conference Papers).