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Stir bar sorptive extraction combined with GC-MS analysis and chemometric methods for the classification of South African Wines according to the volatile composition.
J Agric Food Chem. 2008 Jun 25; 56(12):4286-96.JA

Abstract

A simple method for the analysis of major wine volatiles and semivolatiles by stir bar sorptive extraction in combination with thermal desorption and gas chromatography-mass spectrometry (SBSE-TD-GC-MS) was developed. Significant experimental parameters such as extraction time, temperature, salt addition, pH, and thermal desorption parameters were optimized to provide a sensitive and robust analytical method. The method provided good repeatability (%RSD < 10%) for 38 major wine volatile compounds, including alcohols, acids, esters, phenols, aldehydes, ketones, and lactones. Quantitative data for 62 South African red and white wines were used to study the suitability of major volatile data for the differentiation of wine samples according to grape variety or cultivar. Principal component analysis (PCA) and cluster analysis (CA) showed that most of the variation in volatile composition between wine samples could be ascribed to differences in wine age, wood contact, and fermentation practices. Despite the contribution of these factors, discriminant analysis (DA) was successfully applied to the classification of red and white wine samples according to cultivar.

Authors+Show Affiliations

Department of Chemistry, CENSSUS, University of Stellenbosch, Private Bag X1, Matieland 7602, South Africa.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

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

Language

eng

PubMed ID

18491916

Citation

Tredoux, Andreas, et al. "Stir Bar Sorptive Extraction Combined With GC-MS Analysis and Chemometric Methods for the Classification of South African Wines According to the Volatile Composition." Journal of Agricultural and Food Chemistry, vol. 56, no. 12, 2008, pp. 4286-96.
Tredoux A, de Villiers A, Májek P, et al. Stir bar sorptive extraction combined with GC-MS analysis and chemometric methods for the classification of South African Wines according to the volatile composition. J Agric Food Chem. 2008;56(12):4286-96.
Tredoux, A., de Villiers, A., Májek, P., Lynen, F., Crouch, A., & Sandra, P. (2008). Stir bar sorptive extraction combined with GC-MS analysis and chemometric methods for the classification of South African Wines according to the volatile composition. Journal of Agricultural and Food Chemistry, 56(12), 4286-96. https://doi.org/10.1021/jf0734673
Tredoux A, et al. Stir Bar Sorptive Extraction Combined With GC-MS Analysis and Chemometric Methods for the Classification of South African Wines According to the Volatile Composition. J Agric Food Chem. 2008 Jun 25;56(12):4286-96. PubMed PMID: 18491916.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Stir bar sorptive extraction combined with GC-MS analysis and chemometric methods for the classification of South African Wines according to the volatile composition. AU - Tredoux,Andreas, AU - de Villiers,André, AU - Májek,Pavel, AU - Lynen,Frédéric, AU - Crouch,Andrew, AU - Sandra,Pat, Y1 - 2008/05/21/ PY - 2008/5/22/pubmed PY - 2008/9/3/medline PY - 2008/5/22/entrez SP - 4286 EP - 96 JF - Journal of agricultural and food chemistry JO - J Agric Food Chem VL - 56 IS - 12 N2 - A simple method for the analysis of major wine volatiles and semivolatiles by stir bar sorptive extraction in combination with thermal desorption and gas chromatography-mass spectrometry (SBSE-TD-GC-MS) was developed. Significant experimental parameters such as extraction time, temperature, salt addition, pH, and thermal desorption parameters were optimized to provide a sensitive and robust analytical method. The method provided good repeatability (%RSD < 10%) for 38 major wine volatile compounds, including alcohols, acids, esters, phenols, aldehydes, ketones, and lactones. Quantitative data for 62 South African red and white wines were used to study the suitability of major volatile data for the differentiation of wine samples according to grape variety or cultivar. Principal component analysis (PCA) and cluster analysis (CA) showed that most of the variation in volatile composition between wine samples could be ascribed to differences in wine age, wood contact, and fermentation practices. Despite the contribution of these factors, discriminant analysis (DA) was successfully applied to the classification of red and white wine samples according to cultivar. SN - 1520-5118 UR - https://www.unboundmedicine.com/medline/citation/18491916/Stir_bar_sorptive_extraction_combined_with_GC_MS_analysis_and_chemometric_methods_for_the_classification_of_South_African_Wines_according_to_the_volatile_composition_ L2 - https://doi.org/10.1021/jf0734673 DB - PRIME DP - Unbound Medicine ER -