Literature DB >> 9763193

Human oral mucosa studies with varying blood glucose concentration by non-invasive ATR-FT-IR-spectroscopy.

H M Heise1, R Marbach.   

Abstract

During the last few years infrared spectrometry has been investigated as a non-invasive clinical tool for improved understanding of in-vivo processes. Oral mucosa has been suggested as an especially suited subject for drug delivery and in vivo monitoring of endogenous body metabolites due to histological and physicochemical reasons. The attenuated total reflection (ATR) technique was used to characterize the outmost epidermal layer of human oral mucosa by means of Fourier-transform infrared spectroscopy. The penetration depth of the probing radiation in the mid-infrared fingerprint region, using a ZnSe-crystal for the horizontal ATR accessory, is in the order of a few micrometers so that microlayer information can be obtained by such a technique. Spectra of outer human lip and saliva components are presented for comparison. For several test persons, lip spectra were recorded during oral glucose tolerance tests. The individually varying blood glucose concentration was followed by means of frequent blood testing. Variability of the outmost microlayer has been studied using factor analysis of the ATR inner-lip spectra. There is no clear evidence that blood glucose concentration can be followed by ATR-spectroscopy of oral mucosa. Non-invasive spectroscopic methods exploiting trace signals require special attention paid to the variability due to person-to-person differences and changes in physiological conditions.

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Year:  1998        PMID: 9763193

Source DB:  PubMed          Journal:  Cell Mol Biol (Noisy-le-grand)        ISSN: 0145-5680            Impact factor:   1.770


  5 in total

1.  Hollow optical-fiber based infrared spectroscopy for measurement of blood glucose level by using multi-reflection prism.

Authors:  Saiko Kino; Suguru Omori; Takashi Katagiri; Yuji Matsuura
Journal:  Biomed Opt Express       Date:  2016-01-29       Impact factor: 3.732

2.  Noninvasive glucose monitoring using mid-infrared absorption spectroscopy based on a few wavenumbers.

Authors:  Ryosuke Kasahara; Saiko Kino; Shunsuke Soyama; Yuji Matsuura
Journal:  Biomed Opt Express       Date:  2017-12-20       Impact factor: 3.732

3.  Recent advances in noninvasive glucose monitoring.

Authors:  Chi-Fuk So; Kup-Sze Choi; Thomas Ks Wong; Joanne Wy Chung
Journal:  Med Devices (Auckl)       Date:  2012-06-29

4.  Backpropagation Neural Network-Based Machine Learning Model for Prediction of Blood Urea and Glucose in CKD Patients.

Authors:  Jivan Parab; Marlon Sequeira; Madhusudan Lanjewar; Caje Pinto; Gourish Naik
Journal:  IEEE J Transl Eng Health Med       Date:  2021-05-13       Impact factor: 3.316

5.  Evaluation of Opportunities and Limitations of Mid-Infrared Skin Spectroscopy for Noninvasive Blood Glucose Monitoring.

Authors:  Sven Delbeck; H Michael Heise
Journal:  J Diabetes Sci Technol       Date:  2020-06-26
  5 in total

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