Issue 8, 2011

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

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

Article information

Article type
Paper
Submitted
24 Feb 2011
Accepted
29 May 2011
First published
15 Jul 2011

Anal. Methods, 2011,3, 1872-1876

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

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements