Article

Attempted confirmation of the provenance of Corsican PDO honey using FT-IR spectroscopy and multivariate data analysis.

Teagasc, Ashtown Food Research Centre, Ashtown, Dublin 15, Ireland.
Journal of Agricultural and Food Chemistry (impact factor: 2.82). 09/2010; 58(17):9401-6. DOI:10.1021/jf101500n pp.9401-6
Source: PubMed

ABSTRACT 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 degrees 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.

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    Article: Qualitative and quantitative control of honeys using NMR spectroscopy and chemometrics
    Marc Ohmenhaeuser, Yulia B Monakhova, Thomas Kuballa, Dirk W Lachenmeier
    [show abstract] [hide abstract]
    ABSTRACT: 400 MHz nuclear magnetic resonance (NMR) spectroscopy and multivariate data analysis techniques were used in the context of food surveillance to measure 328 honey samples with 1 H and 13 C NMR. Using principal component analysis (PCA), clusters of honeys from the same botanical origin were observed. The chemical shifts of the principal monosaccharides (glucose and fructose) were found to be mostly responsible for this differentiation. Furthermore, soft independent modeling of class analogy (SIMCA) and partial least squares discriminant analysis (PLS-DA) could be used to automatically classify spectra according to their botanical origin with 95–100% accuracy. Direct quantification of 13 compounds (carbohydrates, aldehydes, aliphatic and aromatic acids) was additionally possible using external calibration curves and applying TSP as internal standard. Hence, NMR spectroscopy combined with chemometrics is an efficient tool for simultaneous identification of botanical origin and quantification of selected constituents of honeys.
    ISRN Analytical Chemistry. 01/2013; 2013:825318.
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Keywords

70 degrees Brix
 
ATR
 
Authentic honey samples
 
correct classification figures
 
factorial discriminant analysis
 
Fourier-transform infrared
 
FT-IR spectrometer
 
harvest seasons
 
harvests
 
honeys
 
mainland France
 
mathematical model
 
partial least-squares
 
recorded spectra
 
room temperature
 
second-derivative data pretreatments
 
separate validation
 
Spectra
 
Standard normal variate
 
standard solids content