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

被引:71
作者
Anastasaki, E. [1 ]
Kanakis, C. [1 ]
Pappas, C. [1 ]
Maggi, L. [2 ]
del Campo, C. P. [2 ]
Carmona, M. [2 ]
Alonso, G. L. [2 ]
Polissiou, M. G. [1 ]
机构
[1] Agr Univ Athens, Dept Sci, Chem Lab, Athens 11855, Greece
[2] Univ Castilla La Mancha, Catedra Quim Agr, ETSI Agron, Albacete 02071, Spain
关键词
Saffron; Geographical differentiation; FT-IR; Principal component analysis; Discriminant analysis; INFRARED-SPECTROSCOPY; GEOGRAPHICAL ORIGINS; VOLATILE COMPOSITION; OILS; DISCRIMINATION; IDENTIFICATION; CHEMOMETRICS; FRACTION; NOSE;
D O I
10.1007/s00217-009-1197-7
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
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.
引用
收藏
页码:571 / 577
页数:7
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