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Attempted Confirmation of the Provenance of Corsican PDO Honey Using FT-IR Spectroscopy and Multivariate Data Analysis
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  • 作者:Siobhn Hennessy ; Gerard Downey ; Colm P. O’ ; Donnell
  • 刊名:Journal of Agricultural and Food Chemistry
  • 出版年:2010
  • 出版时间:September 8, 2010
  • 年:2010
  • 卷:58
  • 期:17
  • 页码:9401-9406
  • 全文大小:734K
  • 年卷期:v.58,no.17(September 8, 2010)
  • ISSN:1520-5118
文摘
This study investigated the potential of Fourier-transform infrared (FT-IR) spectroscopy and chemometric techniques to produce a mathematical model that would confirm or refute the provenance of honeys claiming to be Corsican. Authentic honey samples from two harvest seasons (2004/2005 and 2005/2006) were collected from Ireland (n = 2), Italy (n = 30), Austria (n = 40), Germany (n = 36), mainland France (n = 46), and Corsica (n = 219). Prior to scanning, samples were diluted with distilled water to a standard solids content (70° Brix). Spectra (2500−12500 nm) were recorded at room temperature using a FT-IR spectrometer equipped with a germanium attenuated total reflectance (ATR) accessory. Standard normal variate (SNV) and first- and second-derivative data pretreatments were applied to the recorded spectra, which were processed using factorial discriminant analysis (FDA) and partial least-squares (PLS) regression analysis. Overall correct classification figures of 82% (FDA) and 87% (PLS) were obtained for a separate validation set comprising samples from both harvests.

Keywords:

FT-IR spectroscopy; chemometrics; partial least-squares regression; factorial discriminant analysis; traceability; geographic origin; PDO; honey

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