NDLI: Near Infrared Spectrometry of Clinically Significant Fatty Acids Using Multicomponent Regression

Content Provider	Springer Nature Link
Author	Kalinin, A. V. Krasheninnikov, V. N. Sviridov, A. P. Titov, V. N.
Copyright Year	2016
Abstract	We have developed methods for determining the content of clinically important fatty acids (FAs), primarily saturated palmitic acid, monounsaturated oleic acid, and the sum of polyenoic fatty acids (eicosapentaenoic + docosahexaenoic), in oily media (food products and supplements, fish oils) using different types of near infrared (NIR) spectrometers: Fourier-transform, linear photodiode array, and Raman. Based on a calibration method (regression) by means of projections to latent structures, using standard samples of oil and fat mixtures, we have confirmed the feasibility of reliable and selective quantitative analysis of the above-indicated fatty acids. As a result of comparing the calibration models for Fourier-transform spectrometers in different parts of the NIR range (based on different overtones and combinations of fatty acid absorption), we have provided a basis for selection of the spectral range for a portable linear InGaAs-photodiode array spectrometer. In testing the calibrations of a linear InGaAs-photodiode array spectrometer which is a prototype for a portable instrument, for palmitic and oleic acids and also the sum of the polyenoic fatty acids we have achieved a multiple correlation coefficient of 0.89, 0.85, and 0.96 and a standard error of 0.53%, 1.43%, and 0.39% respectively. We have confirmed the feasibility of using Raman spectra to determine the content of the above-indicated fatty acids in media where water is present.
Starting Page	811
Ending Page	819
Page Count	9
File Format	PDF
ISSN	00219037
Journal	Journal of Applied Spectroscopy
Volume Number	83
Issue Number	5
e-ISSN	15738647
Language	English
Publisher	Springer US
Publisher Date	2016-11-08
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	near infrared spectrometry quantitative analysis regression by means of projections to latent structures saturated and unsaturated fatty acids Atomic/Molecular Structure and Spectra Analytical Chemistry
Content Type	Text
Resource Type	Article
Subject	Spectroscopy Condensed Matter Physics

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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