BIPLOT ANALYSIS APPLIED TO ENOLOGICAL PARAMETERS IN THE GEOGRAPHICAL CLASSIFICATION OF YOUNG RED WINES

被引：0
|
作者：
RIVASGONZALO, JC
GUTIERREZ, Y
POLANCO, AM
HEBRERO, E
VICENTE, JL
GALINDO, P
SANTOSBUELGA, C
机构：
[1] UNIV SALAMANCA,DEPT QUIM ANALIT NUTR & BROMATOL,AVE CAMPO CHARRO S-N,E-37007 SALAMANCA,SPAIN
[2] UNIV SALAMANCA,DEPT ESTADIST & MATEMAT APLICADAS,E-37007 SALAMANCA,SPAIN
来源：
AMERICAN JOURNAL OF ENOLOGY AND VITICULTURE | 1993年 / 44卷 / 03期
关键词：
BIPLOT ANALYSIS; GEOGRAPHICAL CLASSIFICATION OF WINES;
D O I：
暂无
中图分类号：
Q81 [生物工程学（生物技术）]; Q93 [微生物学];
学科分类号：
071005 ; 0836 ; 090102 ; 100705 ;
摘要：
Fifteen variables including conventional enological parameters, phenolics, and color-related parameters were analyzed in 45 young red wines belonging to the Spanish zones Ribera de Duero and Toro with Certified Brand of Origin (CBO). The data obtained were subjected to HJ biplot analysis to determine whether, with the variables employed, it would be possible to differentiate the wines according to their CBO. Alcohol, fixed acidity, pH, degree of ionization of anthocyanins, total phenolics, and procyanidins were the variables with the best relative contributions to discrimination between the two CBO's. A logistic model for estimating the probability of a given sample belonging to a certain CBO is proposed. According this prediction model, 100% of the observations for Ribera de Duero and 81.81% for those of Toro are well classified.
引用
收藏
页码：302 / 308
页数：7
相关论文
共 50 条
  • [41] Geographic classification of Spanish and Australian tempranillo red wines by visible and near-infrared spectroscopy combined with multivariate analysis
    Liu, L.
    Cozzolino, D.
    Cynkar, W. U.
    Gishen, M.
    Colby, C. B.
    JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2006, 54 (18) : 6754 - 6759
  • [42] CLASSIFICATION OF RED WINES FROM CONTROLLED DESIGNATION OF ORIGIN BY ULTRAVIOLET-VISIBLE AND NEAR-INFRARED SPECTRAL ANALYSIS
    Martelo-Vidal, Maria J.
    Vazquez, Manuel
    CIENCIA E TECNICA VITIVINICOLA, 2014, 29 (01): : 35 - 43
  • [43] Geographical origin authentication of southern Brazilian red wines by means of EEM-pH four-way data modelling coupled with one class classification approach
    Vinciguerra, Layane Lenardon
    Bock, Fernanda Carla
    Schneider, Mateus Pires
    Pisoni Canedo Reis, Natalia Alejandra
    Silva, Leticia Flores
    Mendes de Souza, Kelly Christina
    Guerra, Celito Crivellaro
    Gomes, Adriano de Araujo
    Bergold, Ana Maria
    Ferrao, Marco Flores
    FOOD CHEMISTRY, 2021, 362
  • [44] Multi-element Analysis of South African Wines and their Provenance Soils by ICP-MS and their Classification according to Geographical Origin using Multivariate Statistics
    van der Linde, G.
    Fischer, J. L.
    Coetzee, P. P.
    SOUTH AFRICAN JOURNAL OF ENOLOGY AND VITICULTURE, 2010, 31 (02) : 143 - 153
  • [45] Mathematical Modelling and Chemical Analysis to Characterise Anthocyanin Self-association Interactions Influencing Colour Expression and Stability in Young Red Wines
    Tindal, Rachael A.
    Jeffery, David W.
    Muhlack, Richard A.
    FOOD AND BIOPROCESS TECHNOLOGY, 2025, 18 (03) : 2899 - 2924
  • [46] Stepwise linear discriminant analysis to differentiate Spanish red wines by their Protected Designation of Origin or category using physico-chemical parameters
    del Barrio-Galan, Ruben
    Bueno-Herrera, Marta
    Lopez de la Cuesta, Pedro
    Perez-Magarino, Silvia
    OENO ONE, 2020, 54 (01)
  • [47] Classification of Red Wines Produced from Zweigelt and Rondo Grape Varieties Based on the Analysis of Phenolic Compounds by UPLC-PDA-MS/MS
    Stoj, Anna
    Kapusta, Ireneusz
    Domagala, Dorota
    MOLECULES, 2020, 25 (06):
  • [48] Significance of CIELAB parameters in the routine analysis of red wines Relevancia de los parametros CIELAB en el analisis de rutina de vinos tintos
    Esparza, I.
    Santamaria, C.
    Calvo, I.
    Fernandez, J. M.
    CYTA-JOURNAL OF FOOD, 2009, 7 (03) : 189 - 199
  • [49] Varietal classification of red wine samples from four native Greek grape varieties based on volatile compound analysis, color parameters and phenolic composition
    Despina Karimali
    Ioanna Kosma
    Anastasia Badeka
    European Food Research and Technology, 2020, 246 : 41 - 53
  • [50] Varietal classification of red wine samples from four native Greek grape varieties based on volatile compound analysis, color parameters and phenolic composition
    Karimali, Despina
    Kosma, Ioanna
    Badeka, Anastasia
    EUROPEAN FOOD RESEARCH AND TECHNOLOGY, 2020, 246 (01) : 41 - 53
12345