化学计量学
主成分分析
离子迁移光谱法
认证(法律)
偏最小二乘回归
线性判别分析
集合(抽象数据类型)
数据集
计算机科学
分析化学(期刊)
统计
数据挖掘
数学
色谱法
质谱法
化学
计算机安全
程序设计语言
作者
Nayereh Shamshiri,Reza Fattahi,Ahmad Mani‐Varnosfaderani,Mohsen Barzegar,Mohammad Ali Sahari
标识
DOI:10.1016/j.fochx.2024.101455
摘要
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.
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