C. P. del Campo

Publications (2)3.13 Total impact

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

  E. Anastasaki, C. Kanakis, C. Pappas, L. Maggi, C. P. del Campo, M. Carmona, G. L. Alonso, M. G. Polissiou
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  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 2000–700cm−1. The spectral region responsible for the differentiation of Italian samples is in the region of carbonyl group around 1746cm−1. The spectral region at around 1600cm−1 and the band at 1670cm−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.
  European Food Research and Technology 04/2012; 230(4):571-577. · 1.57 Impact Factor
• Source

  Available from: Charalabos D Kanakis

  Article: Geographical differentiation of saffron by GC–MS/FID and chemometrics

  E. Anastasaki, C. Kanakis, C. Pappas, L. Maggi, C. P. del Campo, M. Carmona, G. L. Alonso, M. G. Polissiou
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  ABSTRACT: The volatile compounds of saffron of different origins were investigated to check their suitability as markers of geographic differentiation. A total of 247 saffron samples from Greece (40 samples), Iran (84 samples), Italy (60 samples) and Spain (63 samples) which were harvested in 2006 were analysed using ultrasound-assisted extraction, gas chromatography followed by mass spectrometry and flame ionisation. All regions were easily differentiated by canonical discriminant analysis. The percentages of correct classification and validation were 96.4 and 94.3%, respectively. These investigations showed the potential of saffron volatiles to discriminate saffron samples with different geographical origins.
  European Food Research and Technology 04/2012; 229(6):899-905. · 1.57 Impact Factor