Single-cultivar extra virgin olive oil classification using a potentiometric electronic tongue

被引:60
作者
Dias, Luis G. [1 ]
Fernandes, Andreia [1 ]
Veloso, Ana C. A. [2 ,3 ]
Machado, Adelio A. S. C. [4 ]
Pereira, Jose A. [1 ]
Peres, Antonio M. [1 ,5 ]
机构
[1] Inst Politecn Braganca, Escola Super Agr, CIMO Mt Res Ctr, P-5301855 Braganca, Portugal
[2] DEQB, ISEC, Inst Politecn Coimbra, P-3030199 Coimbra, Portugal
[3] Univ Minho, CEB Ctr Biol Engn, P-4710057 Braga, Portugal
[4] Univ Porto, Fac Ciencias, Dept Quim, LAQUIPAI Lab Quim Inorgan Pura & Aplicacao Interd, P-4169007 Oporto, Portugal
[5] Inst Politecn Braganca, Escola Super Agr, Associate Lab LSRE LCM, LSRE Lab Separat & React Engn, P-5301855 Braganca, Portugal
关键词
Extra virgin olive oil; Single olive cultivar; Potentiometric electronic tongue; Linear discriminant analysis; Simulated annealing algorithm; GEOGRAPHICAL ORIGIN; SENSORY EVALUATION; CAPILLARY-ELECTROPHORESIS; PHENOLIC FRACTION; OLFACTORY SYSTEM; E-NOSE; QUALITY; IDENTIFICATION; COMBINATION; QUANTIFICATION;
D O I
10.1016/j.foodchem.2014.03.072
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
Label authentication of monovarietal extra virgin olive oils is of great importance. A novel approach based on a potentiometric electronic tongue is proposed to classify oils obtained from single olive cultivars (Portuguese cvs. Cobrancosa, Madural, Verdeal Transmontana; Spanish cvs. Arbequina, Hojiblanca, Picual). A meta-heuristic simulated annealing algorithm was applied to select the most informative sets of sensors to establish predictive linear discriminant models. Olive oils were correctly classified according to olive cultivar (sensitivities greater than 97%) and each Spanish olive oil was satisfactorily discriminated from the Portuguese ones with the exception of cv. Arbequina (sensitivities from 61% to 98%). Also, the discriminant ability was related to the polar compounds contents of olive oils and so, indirectly, with organoleptic properties like bitterness, astringency or pungency. Therefore the proposed E-tongue can be foreseen as a useful auxiliary tool for trained sensory panels for the classification of monovarietal extra virgin olive oils. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:321 / 329
页数:9
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