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Differentiation of saffron from four countries by mid-infrared spectroscopy and multivariate analysis

机译:通过中红外光谱法和多元分析从四个国家鉴别藏红花

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Mid-infrared spectroscopy combined with multivariate analysis has been applied for the discrimination of 250 saffron samples from Greece (40 samples), Iran (87 samples), Italy (60 samples) and Spain (63 samples). The infrared spectra of saffron filament samples and their organic extracts were recorded. Principal component analysis was applied to different spectral regions. Then the principal components were used as variables in discriminant analysis. The best discriminatory approach was achieved in the spectral region 2000–700 cm−1. The spectral region responsible for the differentiation of Italian samples is in the region of carbonyl group around 1746 cm−1. The spectral region at around 1600 cm−1 and the band at 1670 cm−1 are responsible for the differentiation of samples from the remaining countries. From the original grouped cases, 93.6% were correctly classified. The correct classification rates for saffron samples from Greece, Iran, Italy and Spain were 90.0, 89.5, 96.7 and 98.4%, respectively. The combination of infrared spectroscopic technique with multivariate analysis is a rapid and ambient method to discriminate saffron samples in terms of geographical origin. Keywords Saffron - Geographical differentiation - FT-IR - Principal component analysis - Discriminant analysis
机译:中红外光谱技术与多变量分析相结合已被用于区分来自希腊(40个样品),伊朗(87个样品),意大利(60个样品)和西班牙(63个样品)的250个藏红花样品。记录藏红花丝样品及其有机提取物的红外光谱。主成分分析应用于不同的光谱区域。然后将主成分用作判别分析中的变量。最好的区分方法是在2000-700 cm -1 的光谱区域中实现的。导致意大利样品分化的光谱区域位于1746 cm -1 附近的羰基区域。 1600 cm -1 附近的光谱区和1670 cm -1 处的谱带负责区分其余国家的样品。从最初的分组病例中,正确分类为93.6%。来自希腊,伊朗,意大利和西班牙的藏红花样品的正确分类率分别为90.0%,89.5%,96.7和98.4%。红外光谱技术与多变量分析相结合是一种根据地理来源区分藏红花样品的快速环境方法。藏红花-地域差异-FT-IR-主成分分析-判别分析

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