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Issue 8, 2011
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Classification of vinegar samples based on near infrared spectroscopy combined with wavelength selection

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Abstract

In this paper, near infrared spectroscopy combined with a wavelength selection method was used to identify fermented vinegar and blended vinegar. Competitive adaptive reweighted sampling (CARS) method was employed to select the key wavelengths. For classification of different vinegars, 11 wavelengths were selected and a PLS-DA model was calculated based on these selected wavelengths. The average error rate (AER) obtained by repeated double cross validation (RPCV) was 6.95%. The results indicated that NIR spectroscopy combined with a wavelength selection method could be applied as a fast alternative method for the identification of different vinegars.

Graphical abstract: Classification of vinegar samples based on near infrared spectroscopy combined with wavelength selection

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Publication details

The article was received on 24 Feb 2011, accepted on 29 May 2011 and first published on 15 Jul 2011


Article type: Paper
DOI: 10.1039/C1AY05101F
Citation: Anal. Methods, 2011,3, 1872-1876
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    Classification of vinegar samples based on near infrared spectroscopy combined with wavelength selection

    W. Fan, H. Li, Y. Shan, H. Lv, H. Zhang and Y. Liang, Anal. Methods, 2011, 3, 1872
    DOI: 10.1039/C1AY05101F

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