Preprint Article Version 1 This version is not peer-reviewed

Fatty Acids-Based Quality Index to Differentiate Worldwide Commercial Pistachio Cultivars

Version 1 : Received: 13 December 2018 / Approved: 13 December 2018 / Online: 13 December 2018 (08:43:49 CET)

A peer-reviewed article of this Preprint also exists.

Esteki, M.; Ahmadi, P.; Vander Heyden, Y.; Simal-Gandara, J. Fatty Acids-Based Quality Index to Differentiate Worldwide Commercial Pistachio Cultivars. Molecules 2019, 24, 58. Esteki, M.; Ahmadi, P.; Vander Heyden, Y.; Simal-Gandara, J. Fatty Acids-Based Quality Index to Differentiate Worldwide Commercial Pistachio Cultivars. Molecules 2019, 24, 58.

Journal reference: Molecules 2018, 24, 58
DOI: 10.3390/molecules24010058

Abstract

The fatty-acid profiles of five main commercial pistachio cultivars, including Ahmad-Aghaei, Akbari, Chrok, Kalle-Ghouchi and Ohadi, were determined by gas chromatography: palmitic (C16:0), palmitoleic (C16:1), stearic (C18:0), oleic (C18:1), linoleic (C18:2), linolenic (C18:3) arachidic (C20:0) and gondoic (C20:1) acid. Based on the oleic to linoleic acid (O/L) ratio, a quality index was determined for these five cultivars: Ohadi (2.40) < Ahmad-Aghaei (2.60) < Kale-Ghouchi (2.94) < Chrok (3.05) < Akbari (3.66). Principal component analysis (PCA) of the fatty-acid data yielded three significant PCs, which together account for 80.0% of the total variance in the data set. A linear discriminant analysis (LDA) model evaluated with cross validation correctly classified almost all samples: the average percent accuracy for the prediction set was 98.0%. The high predictive power for the prediction set shows the ability to indicate the cultivar of an unknown sample based on its fatty-acid chromatographic fingerprint.

Subject Areas

authenticity; chromatographic fingerprint; fatty acids; classification; linear discriminant analysis

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