Literature DB >> 15527520

Molar absorptivities of glucose and other biological molecules in aqueous solutions over the first overtone and combination regions of the near-infrared spectrum.

Airat K Amerov1, Jun Chen, Mark A Arnold.   

Abstract

Molar absorptivities are measured for water, glucose, alanine, ascorbate, lactate, triacetin, and urea in the near-infrared spectral region at 37 degrees C. Values are based on the Beer-Lambert law and cover the first overtone (1550-1850 nm; 6450-5400 cm(-1)) and combination (2000-2500 nm; 4000-5000 cm(-1)) spectral windows through aqueous media. Accurate calculations demand accounting for the impact of water displacement upon dissolution of solute. In this regard, water displacement coefficients are measured and reported for each solute. First overtone absorptivities range from 2 to 7 x 10(-5) mM(-1)mm(-1) for all solutes except urea, for which absorptivity values are below 0.5 x 10(-5) mM(-1) mm(-1) across this spectral range. Molar absorptivities over the combination spectral region range from 0.8 to 3.2 x 10(-4) mM(-1) mm(-1), which is a factor of four to five greater than the first overtone absorptivities. Accuracy of the measured values is assessed by comparing calculated or modeled spectra with spectra measured from standard solutions. This comparison reveals accurately modeled spectra in terms of magnitude and position of solute absorption bands. Both actual and modeled spectra from glucose solutions reveal positive and negative absorbance values depending on the measurement wavelength. It is shown that the net absorbance of light is controlled by the magnitude of the absorptivity of glucose compared to the product of the absorptivity of water and the water displacement coefficient for glucose.

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Year:  2004        PMID: 15527520     DOI: 10.1366/0003702042336136

Source DB:  PubMed          Journal:  Appl Spectrosc        ISSN: 0003-7028            Impact factor:   2.388


  13 in total

1.  Impact of tissue heterogeneity on noninvasive near-infrared glucose measurements in interstitial fluid of rat skin.

Authors:  Natalia V Alexeeva; Mark A Arnold
Journal:  J Diabetes Sci Technol       Date:  2010-09-01

2.  Noninvasive blood glucose sensing using near infra-red spectroscopy and artificial neural networks based on inverse delayed function model of neuron.

Authors:  Swathi Ramasahayam; Sri Haindavi Koppuravuri; Lavanya Arora; Shubhajit Roy Chowdhury
Journal:  J Med Syst       Date:  2014-12-11       Impact factor: 4.460

3.  Swept-wavelength lasers based on GaSb gain-chip technology for non-invasive biomedical sensing applications in the 1.7-2.5 μm wavelength range.

Authors:  Augustinas Vizbaras; Ieva Šimonytė; Arūnas Miasojedovas; Augustinas Trinkūnas; Tadas Bučiūnas; Mindaugas Greibus; Greta Naujokaitė; Nicolas Torcheboeuf; Serge Droz; Dmitri Boiko; Žilvinas Dambrauskas; Antanas Gulbinas; Kristijonas Vizbaras
Journal:  Biomed Opt Express       Date:  2018-09-14       Impact factor: 3.732

4.  NIR spectroscopic determination of urine components in spot urine: preliminary investigation towards optical point-of-care test.

Authors:  Ikuto Suzuki; Mitsuhiro Ogawa; Kimihiro Seino; Masamichi Nogawa; Hisashi Naito; Ken-Ichi Yamakoshi; Shinobu Tanaka
Journal:  Med Biol Eng Comput       Date:  2019-11-19       Impact factor: 2.602

5.  Specialized source-detector separations in near-infrared reflectance spectroscopy platform enable effective separation of diffusion and absorption for glucose sensing.

Authors:  Jin Liu; Tongshuai Han; Jingying Jiang; Kexin Xu
Journal:  Biomed Opt Express       Date:  2019-08-27       Impact factor: 3.732

6.  Near-infrared microspectroscopic analysis of rat skin tissue heterogeneity in relation to noninvasive glucose sensing.

Authors:  Natalia V Alexeeva; Mark A Arnold
Journal:  J Diabetes Sci Technol       Date:  2009-03-01

7.  Hydrogen bonds in galactopyranoside and glucopyranoside: a density functional theory study.

Authors:  Zahrabatoul Mosapour Kotena; Reza Behjatmanesh-Ardakani; Rauzah Hashim; Vijayan Manickam Achari
Journal:  J Mol Model       Date:  2012-09-13       Impact factor: 1.810

8.  Broadband 2.4 μm superluminescent GaInAsSb/AlGaAsSb quantum well diodes for optical sensing of biomolecules.

Authors:  M B Wootten; J Tan; Y J Chien; J T Olesberg; J P Prineas
Journal:  Semicond Sci Technol       Date:  2014-11       Impact factor: 2.352

9.  Non-Invasive Glucose Monitoring Using Optical Sensor and Machine Learning Techniques for Diabetes Applications.

Authors:  Maryamsadat Shokrekhodaei; David P Cistola; Robert C Roberts; Stella Quinones
Journal:  IEEE Access       Date:  2021-05-11       Impact factor: 3.367

10.  Glucose sensing by waveguide-based absorption spectroscopy on a silicon chip.

Authors:  E Ryckeboer; R Bockstaele; M Vanslembrouck; R Baets
Journal:  Biomed Opt Express       Date:  2014-04-24       Impact factor: 3.732

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