Analyzing Blood Glucose Levels with Near Infra-Red Spectroscopy and Chemometric Multivariate Methods

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Hauptverfasser: Barati, Hadi, Madani, Arian Mousavi, Moradi, Soheil, Fardmanesh, Mehdi
Format: Preprint
Veröffentlicht: 2025
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_version_ 1866909696587202560
author Barati, Hadi
Madani, Arian Mousavi
Moradi, Soheil
Fardmanesh, Mehdi
author_facet Barati, Hadi
Madani, Arian Mousavi
Moradi, Soheil
Fardmanesh, Mehdi
contents In this work, the blood NIR absorbances are recorded using the FT-IR method. It is shown that when the absorbance curves are multiplied by the first derivative of the water absorbance spectrum as well as by the first derivative of the glucose absorbance, the peaks related to the water interferent in the blood are effectively removed from the blood absorbance spectra, allowing for better distinction of the peaks of the blood glucose. The PCR prediction using this method shows smaller errors compared to the PCR employing the net absorbances, while the number of derived principal components is smaller in the PCR method based on the derivatives than the one based on the net absorbances. Additionally, the prediction of blood glucose levels using a linear regression model based on the molar absorptivity of glucose also demonstrates acceptable accuracy.
format Preprint
id arxiv_https___arxiv_org_abs_2507_14557
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Analyzing Blood Glucose Levels with Near Infra-Red Spectroscopy and Chemometric Multivariate Methods
Barati, Hadi
Madani, Arian Mousavi
Moradi, Soheil
Fardmanesh, Mehdi
Medical Physics
Biological Physics
In this work, the blood NIR absorbances are recorded using the FT-IR method. It is shown that when the absorbance curves are multiplied by the first derivative of the water absorbance spectrum as well as by the first derivative of the glucose absorbance, the peaks related to the water interferent in the blood are effectively removed from the blood absorbance spectra, allowing for better distinction of the peaks of the blood glucose. The PCR prediction using this method shows smaller errors compared to the PCR employing the net absorbances, while the number of derived principal components is smaller in the PCR method based on the derivatives than the one based on the net absorbances. Additionally, the prediction of blood glucose levels using a linear regression model based on the molar absorptivity of glucose also demonstrates acceptable accuracy.
title Analyzing Blood Glucose Levels with Near Infra-Red Spectroscopy and Chemometric Multivariate Methods
topic Medical Physics
Biological Physics
url https://arxiv.org/abs/2507.14557