Literature DB >> 21842866

Discrimination between Shiraz wines from different Australian regions: the role of spectroscopy and chemometrics.

Roberto Riovanto1, Wies U Cynkar, Paolo Berzaghi, Daniel Cozzolino.   

Abstract

This study reports the use of UV-visible (UV-vis), near-infrared (NIR), and midinfrared (MIR) spectroscopy combined with chemometrics to discriminate among Shiraz wines produced in five Australian regions. In total, 98 commercial Shiraz samples (vintage 2006) were analyzed using UV-vis, NIR, and MIR wavelength regions. Spectral data were interpreted using principal component analysis (PCA), linear discriminant analysis (LDA), and soft independent model of class analogy (SIMCA) to classify the wine samples according to region. The results indicated that wine samples from Western Australia and Coonawarra can be separated from the other wines based on their MIR spectra. Classification results based on MIR spectra also indicated that LDA achieved 73% overall correct classification, while SIMCA 95.3%. This study demonstrated that IR spectroscopy combined with chemometric methods can be a useful tool for wine region discrimination.

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Year:  2011        PMID: 21842866     DOI: 10.1021/jf202578f

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  3 in total

1.  Rice seed cultivar identification using near-infrared hyperspectral imaging and multivariate data analysis.

Authors:  Wenwen Kong; Chu Zhang; Fei Liu; Pengcheng Nie; Yong He
Journal:  Sensors (Basel)       Date:  2013-07-12       Impact factor: 3.576

2.  Application of Spectroscopic UV-Vis and FT-IR Screening Techniques Coupled with Multivariate Statistical Analysis for Red Wine Authentication: Varietal and Vintage Year Discrimination.

Authors:  Elisabeta-Irina Geană; Corina Teodora Ciucure; Constantin Apetrei; Victoria Artem
Journal:  Molecules       Date:  2019-11-17       Impact factor: 4.411

3.  Identification of different varieties of sesame oil using near-infrared hyperspectral imaging and chemometrics algorithms.

Authors:  Chuanqi Xie; Qiaonan Wang; Yong He
Journal:  PLoS One       Date:  2014-05-30       Impact factor: 3.240

  3 in total

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