NIR and UV-vis spectroscopy, artificial nose and tongue: comparison of four fingerprinting techniques for the characterisation of Italian red wines
| Autor: | Monica Casale, Silvia Lanteri, Paolo Oliveri, Carla Armanino, Michele Forina |
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| Rok vydání: | 2009 |
| Předmět: |
Vintage
Artificial nose Wine Biochemistry Mass Spectrometry Analytical Chemistry Chemometrics Ultraviolet visible spectroscopy Environmental Chemistry Vitis Spectroscopy Artificial tongue Chromatography Spectroscopy Near-Infrared NIR spectroscopy UV–vis spectroscopy Artificial nose Artificial tongue Wine Chemometrics Chemistry business.industry NIR spectroscopy Reproducibility of Results Pattern recognition Electrochemical Techniques Models Theoretical Linear discriminant analysis UV–vis spectroscopy Italy Spectrophotometry Principal component analysis Multivariate Analysis Odorants Artificial intelligence business |
| Zdroj: | Analytica chimica acta. 668(2) |
| ISSN: | 1873-4324 |
| Popis: | Four rapid and low-cost vanguard analytical systems (NIR and UV–vis spectroscopy, a headspace-mass based artificial nose and a voltammetric artificial tongue), together with chemometric pattern recognition techniques, were applied and compared in addressing a food authentication problem: the distinction between wine samples from the same Italian oenological region, according to the grape variety. Specifically, 59 certified samples belonging to the Barbera d’Alba and Dolcetto d’Alba appellations and collected from the same vintage (2007) were analysed. The instrumental responses, after proper data pre-processing, were used as fingerprints of the characteristics of the samples: the results from principal component analysis and linear discriminant analysis were discussed, comparing the capability of the four analytical strategies in addressing the problem studied. |
| Databáze: | OpenAIRE |
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