Geographical authentication of saffron by chemometrics applied to the ion mobility spectrometry data.

Nayereh Shamshiri, Reza Fattahi, Ahmad Mani-Varnosfaderani, Mohsen Barzegar, Mohammad Ali Sahari

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Article in Food chemistry: X, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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Nayereh ShamshiriDepartment of Food Science and Technology, Faculty of Agriculture, Tarbiat Modares University, P. O. Box 14115-336, Tehran, Iran.

Reza FattahiDepartment of Food Science and Technology, Faculty of Agriculture, Tarbiat Modares University, P. O. Box 14115-336, Tehran, Iran.

Ahmad Mani-VarnosfaderaniDepartment of Chemistry, Faculty of Basic Sciences, Tarbiat Modares University, P. O. Box 14115-175, Tehran, Iran.

Mohsen BarzegarDepartment of Food Science and Technology, Faculty of Agriculture, Tarbiat Modares University, P. O. Box 14115-336, Tehran, Iran.

Mohammad Ali SahariDepartment of Food Science and Technology, Faculty of Agriculture, Tarbiat Modares University, P. O. Box 14115-336, Tehran, Iran.

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6 · The paper itself

Abstract

There is a lack of a reliable tool for quickly determining the geographical origins of saffron (SFR). Ion mobility spectrometry (IMS) has emerged as a promising method for rapid authentication. In this study, 232 Iranian SFR samples harvested in five distinct areas (Khorasan, Azerbaijan, Golestan, Fars, and Isfahan) were analyzed by IMS coupled with chemometric methods. The principal component analysis (PCA) was applied for analyzing the collected IMS data, utilizing three principle components (PCs) that accounted for 81 % of the explained variance. Moreover, the partial least squares-discriminant analysis (PLS-DA) demonstrated the average sensitivity and specificity rates, of 72.3 % to 92.5 % for the exernal test set and 75.5 % to 94.3 % for training set. The accuracy values were ≥ 85.0 % for the prediction set for all classes of samples. The results of this study revealed a successful application of IMS and chemometric methods for rapid geographical authentication of saffron samples in Iran.

Indexed as

AuthenticationIon mobility spectrometryMultivariate statistical analysis, Geographical originSaffron (Crocus sativus L.)

Identifiers

PMID38798798

DOI10.1016/j.fochx.2024.101455

PMCPMC11126811

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