Journal article
Selectivity and Sensitivity of Near-Infrared Spectroscopic Sensing of β-Hydroxybutyrate, Glucose, and Urea in Ternary Aqueous Solutions
Analytical chemistry (Washington), Vol.93(13), pp.5586-5595
04/06/2021
DOI: 10.1021/acs.analchem.1c00300
PMID: 33760590
Abstract
The next-generation artificial pancreas is under development with the goal to enhance tight glycemic control for people with type 1 diabetes. Such technology requires the integration of a chemical sensing unit combined with an insulin infusion device controlled by an algorithm capable of autonomous operation. The potential of near-infrared spectroscopic sensing to serve as the chemical sensing unit is explored by demonstrating the ability to quantify multiple metabolic biomarkers from a single near-infrared spectrum. Independent measurements of β-hydroxy-butyrate, glucose, and urea are presented based on analysis of near-infrared spectra collected over the combination spectral range of 5000-4000 cm
for a set of 50 ternary aqueous standard solutions. Spectra are characterized by a 1 μAU root-mean-square (RMS) noise for 100% lines with a resolution of 4 cm
and an optical path length of 1 mm. Calibration models created by the net analyte signal (NAS) and the partial least squares (PLS) methods provide selective measurements for each analyte with standard errors of prediction in the upper micromolar concentration range. The NAS method is used to determine both the selectivity and sensitivity for each analyte and their values are consistent with these standard errors of prediction. The NAS method is also used to characterize the background spectral variance associated with instrumental and environmental variations associated with buffer spectra collected over a multiday period.
Details
- Title: Subtitle
- Selectivity and Sensitivity of Near-Infrared Spectroscopic Sensing of β-Hydroxybutyrate, Glucose, and Urea in Ternary Aqueous Solutions
- Creators
- Maosong Ye - University of Iowa, ChemistryMark A Arnold - University of Iowa, Chemistry
- Resource Type
- Journal article
- Publication Details
- Analytical chemistry (Washington), Vol.93(13), pp.5586-5595
- DOI
- 10.1021/acs.analchem.1c00300
- PMID
- 33760590
- ISSN
- 0003-2700
- eISSN
- 1520-6882
- Grant note
- name: College of Liberal Arts and Sciences, University of Iowa
- Language
- English
- Date published
- 04/06/2021
- Academic Unit
- Center for Biocatalysis and Bioprocessing; Fraternal Order of Eagles Diabetes Research Center; Chemistry
- Record Identifier
- 9984216674702771
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