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Geographic classification of spanish and Australian tempranillo red wines by visible and near-infrared spectroscopy combined with multivariate analysis.
J Agric Food Chem. 2006 Sep 06; 54(18):6754-9.JA

Abstract

Visible (vis) and near-infrared (NIR) spectroscopy combined with multivariate analysis was used to classify the geographical origin of commercial Tempranillo wines from Australia and Spain. Wines (n = 63) were scanned in the vis and NIR regions (400-2500 nm) in a monochromator instrument in transmission. Principal component analysis (PCA), discriminant partial least-squares discriminant analysis (PLS-DA) and linear discriminant analysis (LDA) based on PCA scores were used to classify Tempranillo wines according to their geographical origin. Full cross-validation (leave-one-out) was used as validation method when PCA and LDA classification models were developed. PLS-DA models correctly classified 100% and 84.7% of the Australian and Spanish Tempranillo wine samples, respectively. LDA calibration models correctly classified 72% of the Australian wines and 85% of the Spanish wines. These results demonstrate the potential use of vis and NIR spectroscopy, combined with chemometrics as a rapid method to classify Tempranillo wines accordingly to their geographical origin.

Authors+Show Affiliations

School of Chemical Engineering, Engineering North Building, The University of Adelaide, Adelaide SA 5005, Australia.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

16939336

Citation

Liu, L, et al. "Geographic Classification of Spanish and Australian Tempranillo Red Wines By Visible and Near-infrared Spectroscopy Combined With Multivariate Analysis." Journal of Agricultural and Food Chemistry, vol. 54, no. 18, 2006, pp. 6754-9.
Liu L, Cozzolino D, Cynkar WU, et al. Geographic classification of spanish and Australian tempranillo red wines by visible and near-infrared spectroscopy combined with multivariate analysis. J Agric Food Chem. 2006;54(18):6754-9.
Liu, L., Cozzolino, D., Cynkar, W. U., Gishen, M., & Colby, C. B. (2006). Geographic classification of spanish and Australian tempranillo red wines by visible and near-infrared spectroscopy combined with multivariate analysis. Journal of Agricultural and Food Chemistry, 54(18), 6754-9.
Liu L, et al. Geographic Classification of Spanish and Australian Tempranillo Red Wines By Visible and Near-infrared Spectroscopy Combined With Multivariate Analysis. J Agric Food Chem. 2006 Sep 6;54(18):6754-9. PubMed PMID: 16939336.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Geographic classification of spanish and Australian tempranillo red wines by visible and near-infrared spectroscopy combined with multivariate analysis. AU - Liu,L, AU - Cozzolino,D, AU - Cynkar,W U, AU - Gishen,M, AU - Colby,C B, PY - 2006/8/31/pubmed PY - 2006/10/21/medline PY - 2006/8/31/entrez SP - 6754 EP - 9 JF - Journal of agricultural and food chemistry JO - J Agric Food Chem VL - 54 IS - 18 N2 - Visible (vis) and near-infrared (NIR) spectroscopy combined with multivariate analysis was used to classify the geographical origin of commercial Tempranillo wines from Australia and Spain. Wines (n = 63) were scanned in the vis and NIR regions (400-2500 nm) in a monochromator instrument in transmission. Principal component analysis (PCA), discriminant partial least-squares discriminant analysis (PLS-DA) and linear discriminant analysis (LDA) based on PCA scores were used to classify Tempranillo wines according to their geographical origin. Full cross-validation (leave-one-out) was used as validation method when PCA and LDA classification models were developed. PLS-DA models correctly classified 100% and 84.7% of the Australian and Spanish Tempranillo wine samples, respectively. LDA calibration models correctly classified 72% of the Australian wines and 85% of the Spanish wines. These results demonstrate the potential use of vis and NIR spectroscopy, combined with chemometrics as a rapid method to classify Tempranillo wines accordingly to their geographical origin. SN - 0021-8561 UR - https://www.unboundmedicine.com/medline/citation/16939336/Geographic_classification_of_spanish_and_Australian_tempranillo_red_wines_by_visible_and_near_infrared_spectroscopy_combined_with_multivariate_analysis_ L2 - https://doi.org/10.1021/jf061528b DB - PRIME DP - Unbound Medicine ER -