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Authentication of organic sugars by NIR spectroscopy and partial least squares with discriminant analysis

Abstract

The present study evaluated the potential of near-infrared (NIR) spectroscopy coupled with partial least squares with discriminant analysis (PLS-DA) for the authentication of organic sugars. A portable NIR equipment was employed in the range from 900 to 1650 nm. Three PLS-DA models were built: the first one for discrimination organic from conventional crystal sugar, a second model for discrimination organic from conventional demerara sugar, and the third one for discrimination of organic from conventional brown sugar. The sensitivity and specificity for the PLS-DA models were equal to 1 in all cases indicating high ability in the authentication of sugars (crystal, demerara, and brown) as organic and conventional ones. The NIR spectroscopy ability for organic sugar authentication can be assigned to a shift in the absorption bands in the regions of the first, second and third overtones, probably overdue to the differences in the amount of compounds that present these bonds in the organic and conventional sugars. Thus, it can be suggested that the organic sugars samples had differences in chemical composition that is detected by the NIR spectroscopy coupled to the chemometric method PLS-DA, allowing the authentication of organic samples from conventional ones.

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Supplementary files

Article information


Submitted
18 Sep 2019
Accepted
15 Dec 2019
First published
16 Dec 2019

Anal. Methods, 2020, Accepted Manuscript
Article type
Technical Note

Authentication of organic sugars by NIR spectroscopy and partial least squares with discriminant analysis

V. M.A.T. de Oliveira, M. R. Baqueta, P. H. Março and P. Valderrama, Anal. Methods, 2020, Accepted Manuscript , DOI: 10.1039/C9AY02025J

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