ArticleBiomedical optics express2013
Discussion on the validity of NIR spectral data in non-invasive blood glucose sensing.
Article in Biomedical optics express, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Single-wavelength water muted photoacoustic system for detecting physiological concentrations of endogenous molecules.Biomedical optics express · 2021Article
- Extended Near-Infrared Optoacoustic Spectrometry for Sensing Physiological Concentrations of Glucose.Frontiers in endocrinology · 2018Article
- Identification of informative bands in the short-wavelength NIR region for non-invasive blood glucose measurement.Biomedical optics express · 2016Article
- In vitro glucose measurement using tunable mid-infrared laser spectroscopy combined with fiber-optic sensor.Biomedical optics express · 2013Article
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Authors and funding
5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
In this paper, the effects of two-dimensional correlation spectroscopy (2DCOS) on chance correlations in the spectral data, generated from the correlations between glucose concentration and some undesirable experimental factors, such as instrument drift, sample temperature variations, and interferent compositions in the sample matrix, are investigated. The aim is to evaluate the validity of the spectral data set, instead of assessing the calibration models, and then to provide a complementary procedure for better verifying or rejecting the data set. It includes tracing back to the source of the chance correlation on the chemical basis, selecting appropriate preprocessing methods before building multivariate calibration models, and therefore may avoid invalid models. The utility of the proposed analysis is demonstrated with a series of aqueous solutions using near-infrared spectra over the overtone band of glucose. Results show that, spectral variations from chance correlations induced by those experimental factors can be determined by the 2DCOS method, which develops avenues for prospectively accurate prediction in clinical application of this technology.
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