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

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dc.contributor.author Anastasaki, E en
dc.contributor.author Kanakis, C en
dc.contributor.author Pappas, C en
dc.contributor.author Maggi, L en
dc.contributor.author del Campo, CP en
dc.contributor.author Carmona, M en
dc.contributor.author Alonso, GL en
dc.contributor.author Polissiou, MG en
dc.date.accessioned 2014-06-06T06:50:12Z
dc.date.available 2014-06-06T06:50:12Z
dc.date.issued 2010 en
dc.identifier.issn 14382377 en
dc.identifier.uri http://dx.doi.org/10.1007/s00217-009-1197-7 en
dc.identifier.uri http://62.217.125.90/xmlui/handle/123456789/4994
dc.subject Discriminant analysis en
dc.subject FT-IR en
dc.subject Geographical differentiation en
dc.subject Principal component analysis en
dc.subject Saffron en
dc.subject.other Carbonyl groups en
dc.subject.other Classification rates en
dc.subject.other FT-IR en
dc.subject.other Geographical origins en
dc.subject.other Infrared spectroscopic en
dc.subject.other Infrared spectrum en
dc.subject.other Mid-infrared spectroscopy en
dc.subject.other Multi variate analysis en
dc.subject.other Organic extracts en
dc.subject.other Principal Components en
dc.subject.other Spectral region en
dc.subject.other Decision making en
dc.subject.other Discriminant analysis en
dc.subject.other Extraction en
dc.subject.other Food additives en
dc.subject.other Infrared devices en
dc.subject.other Infrared spectroscopy en
dc.subject.other Multivariant analysis en
dc.subject.other Spectroscopic analysis en
dc.subject.other Principal component analysis en
dc.title Differentiation of saffron from four countries by mid-infrared spectroscopy and multivariate analysis en
heal.type journalArticle en
heal.identifier.primary 10.1007/s00217-009-1197-7 en
heal.publicationDate 2010 en
heal.abstract 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. © Springer-Verlag 2009. en
heal.journalName European Food Research and Technology en
dc.identifier.issue 4 en
dc.identifier.volume 230 en
dc.identifier.doi 10.1007/s00217-009-1197-7 en
dc.identifier.spage 571 en
dc.identifier.epage 577 en


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