Classification of Sherry vinegars by combining multidimensional fluorescence, parafac and different classification approaches

被引:51
|
作者
Callejon, Raquel M. [2 ]
Amigo, Jose Manuel [1 ]
Pairo, Erola [3 ]
Garmon, Sergio [4 ]
Antonio Ocana, Juan [2 ]
Lourdes Morales, Maria [2 ]
机构
[1] Univ Copenhagen, Dept Food Sci Qual & Technol, Fac LIFE Sci, DK-1958 Frederiksberg C, Denmark
[2] Univ Seville, Seville, Spain
[3] Univ Barcelona, Inst Bioengn Catalunya, E-08007 Barcelona, Spain
[4] Univ Basque Country, Madrid, Spain
关键词
Vinegars; Multidimensional fluorescence; PARAFAC; PLS-DA; SVM; EEMizer; SPECTROSCOPY; WINES;
D O I
10.1016/j.talanta.2011.11.014
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Sherry vinegar is a much appreciated product from Jerez-Xeres-Sherry. Manzanilla de Sanlucar and Vinagre de Jerez Protected Designation in southwestern Spain. Its complexity and the extraordinary organoleptic properties are acquired thanks to the method of production followed, the so-called "criaderas y solera" ageing system. Three qualities for Sherry vinegar are considered according to ageing time in oak barrels: "Vinagre de Jerez" (minimum of 6 months), "Reserva" (at least 2 years) and "Gran Reserva" (at least 10 years). In the last few years, there has been an increasing need to develop rapid, inexpensive and effective analytical methods, as well as requiring low sample manipulation for the analysis and characterization of Sherry vinegar. Fluorescence spectroscopy is emerging as a competitive technique for this purpose, since provides in a few seconds an excitation-emission landscape that may be used as a fingerprint of the vinegar. Multi-way analysis, specifically Parallel Factor Analysis (PARAFAC), is a powerful tool for simultaneous determination of fluorescent components, because they extract the most relevant information from the data and allow building robust models. Moreover, the information obtained by PARAFAC can be used to build robust and reliable classification and discrimination models (e.g. by using Support Vector Machines and Partial Least Squares-Discriminant Analysis models). In this context, the aim of this work was to study the possibilities of multi-way fluorescence linked to PARAFAC and to classify the different Sherry vinegars accordingly to their ageing. The results demonstrated that the use of the proposed analytical and chemometric tools are a perfect combination to extract relevant chemical information about the vinegars as well as to classify and discriminate them considering the different ageing. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:456 / 462
页数:7
相关论文
共 50 条
  • [1] A multidimensional approach to the classification of combining forms
    Iacobini, Claudio
    Giuliani, Alessandro
    ITALIAN JOURNAL OF LINGUISTICS, 2010, 22 (02): : 287 - 316
  • [2] Data fusion approaches in spectroscopic characterization and classification of PDO wine vinegars
    Rios-Reina, Rocio
    Callejon, Raquel M.
    Savorani, Francesco
    Arnigo, Jose M.
    Cocchi, Marina
    TALANTA, 2019, 198 : 560 - 572
  • [3] Fluorescence spectroscopy coupled with PARAFAC and PLS DA for characterization and classification of honey
    Lenhardt, Lea
    Bro, Rasmus
    Zekovic, Ivana
    Dramicanin, Tatjana
    Dramicanin, Miroslav D.
    FOOD CHEMISTRY, 2015, 175 : 284 - 291
  • [4] Classification of Chinese traditional cereal vinegars and antioxidant property predication by fluorescence spectroscopy
    Long, Wanjun
    Lei, Guanghua
    Guan, Yuting
    Chen, Hengye
    Hu, Zikang
    She, Yuanbin
    Fu, Haiyan
    FOOD CHEMISTRY, 2023, 424
  • [5] Combining Online Classification Approaches for Changing Environments
    Rodriguez, Juan J.
    Kuncheva, Ludmila I.
    STRUCTURAL, SYNTACTIC, AND STATISTICAL PATTERN RECOGNITION, 2008, 5342 : 520 - +
  • [6] Combining multiple approaches for gene microarray classification
    Nanni, Loris
    Brahnam, Sheryl
    Lumini, Alessandra
    BIOINFORMATICS, 2012, 28 (08) : 1151 - 1157
  • [7] Water-source characterization and classification with fluorescence EEM spectroscopy: PARAFAC analysis
    Hua, Bin
    Dolan, Frank
    Mcghee, Candice
    Clevenger, Thomas E.
    Deng, Baolin
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL ANALYTICAL CHEMISTRY, 2007, 87 (02) : 135 - 147
  • [8] Multidimensional Fluorescence Fingerprinting for Classification of Shrimp by Location and Species
    Eaton, John K.
    Alcivar-Warren, Acacia
    Kenny, Jonathan E.
    ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2012, 46 (04) : 2276 - 2282
  • [9] Merging Classifiers of Different Classification Approaches
    Danylenko, Antonina
    Lowe, Welf
    2014 IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOP (ICDMW), 2014, : 706 - 715
  • [10] Combining different classification approaches to improve off-line Arabic handwritten word recognition
    Zavorin, Ilya
    Borovikov, Eugene
    Davis, Ericson
    Borovikov, Anna
    Summers, Kristen
    DOCUMENT RECOGNITION AND RETRIEVAL XV, 2008, 6815