Voltammetric e-tongue for the quantification of total polyphenol content in olive oils

被引:55
作者
Apetrei, Irina Mirela [1 ]
Apetrei, Constantin [2 ]
机构
[1] Dunarea De Jos Univ Galati, Fac Med & Pharm, Dept Pharmaceut Sci, Galati 800008, Romania
[2] Dunarea De Jos Univ Galati, Fac Sci & Environm, Dept Chem Phys & Environm, Galati 800008, Romania
关键词
Virgin olive oil; Emulsion; e-Tongue; Polypyrrole; Total polyphenol content; CARBON-PASTE ELECTRODES; PATTERN-RECOGNITION; RAMAN-SPECTROSCOPY; BITTERNESS; CLASSIFICATION; DISCRIMINATION; EMULSIONS; STEROLS; SENSORS; ARRAY;
D O I
10.1016/j.foodres.2013.04.032
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
This work presents the application of a voltammetric electronic tongue made from an array of polypyrrole modified screen printed electrodes in the qualitative and quantitative analysis of phenolic compounds found in virgin olive oils. Virgin olive oil samples in the form of emulsions were analyzed by sensors using cyclic voltammetry. The cyclic voltammograms show peaks related to redox processes related to polypyrrole and phenolic compounds presents in the emulsions. The obtained responses were pre-processed employing kernel method in order to extract significant information from the voltammetric signals. These coefficients were used as matrix input in multivariate data analysis. Additionally, the kernel coefficients were used in multivariate calibration method by partial least squares, which accomplished the quantification of total polyphenol content. Training and test sample results were compared with the ones obtained with the spectrophotometric method. High significant correlation coefficient of 0.9976 and 0.9884 was accomplished in calibration and prediction, in the range from 111.75 to 482.42 mg x kg(-1). Qualitative discrimination of different phenolic compounds found in olive oils was also evaluated by principal component analysis and partial least squares discriminant analysis when these are added in olive oil emulsions. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2075 / 2082
页数:8
相关论文
共 52 条
[1]   Novel method based on carbon paste electrodes for the evaluation of bitterness in extra virgin olive oils [J].
Apetrei, C. ;
Gutierez, F. ;
Rodriguez-Mendez, M. L. ;
de Saja, J. A. .
SENSORS AND ACTUATORS B-CHEMICAL, 2007, 121 (02) :567-575
[2]   Modified carbon paste electrodes for discrimination of vegetable oils [J].
Apetrei, C ;
Rodríguez-Méndez, ML ;
de Saja, JA .
SENSORS AND ACTUATORS B-CHEMICAL, 2005, 111 :403-409
[3]   Combination of an e-nose, an e-tongue and an e-eye for the characterisation of olive oils with different degree of bitterness [J].
Apetrei, C. ;
Apetrei, I. M. ;
Villanueva, S. ;
de Saja, J. A. ;
Gutierrez-Rosales, F. ;
Rodriguez-Mendez, M. L. .
ANALYTICA CHIMICA ACTA, 2010, 663 (01) :91-97
[4]   Novel method based on polypyrrole-modified sensors and emulsions for the evaluation of bitterness in extra virgin olive oils [J].
Apetrei, Constantin .
FOOD RESEARCH INTERNATIONAL, 2012, 48 (02) :673-680
[5]   Carbon Paste Electrodes Made from Different Carbonaceous Materials: Application in the Study of Antioxidants [J].
Apetrei, Constantin ;
Mirela Apetrei, Irina ;
Antonio De Saja, Jose ;
Luz Rodriguez-Mendez, Maria .
SENSORS, 2011, 11 (02) :1328-1344
[6]   Fish Freshness Monitoring Using an E-Tongue Based on Polypyrrole Modified Screen-Printed Electrodes [J].
Apetrei, Irina Mirela ;
Luz Rodriguez-Mendez, Maria ;
Apetrei, Constantin ;
de Saja, Jose A. .
IEEE SENSORS JOURNAL, 2013, 13 (07) :2548-2554
[7]   Changes in Phenolic Content and Antioxidant Activity of Italian Extra-Virgin Olive Oils during Storage [J].
Baiano, A. ;
Gambacorta, G. ;
Terracone, C. ;
Previtali, M. A. ;
Lamacchia, C. ;
La Notte, E. .
JOURNAL OF FOOD SCIENCE, 2009, 74 (02) :C177-C183
[8]   Phenolic characterization and geographical classification of commercial Arbequina extra-virgin olive oils produced in southern Catalonia [J].
Bakhouche, Abdelhakim ;
Lozano-Sanchez, Jesus ;
Beltran-Debon, Raul ;
Joven, Jorge ;
Segura-Carretero, Antonio ;
Fernandez-Gutierrez, Alberto .
FOOD RESEARCH INTERNATIONAL, 2013, 50 (01) :401-408
[9]   Supervised pattern recognition in food analysis [J].
Berrueta, Luis A. ;
Alonso-Salces, Rosa M. ;
Heberger, Karoly .
JOURNAL OF CHROMATOGRAPHY A, 2007, 1158 (1-2) :196-214
[10]  
Boskou D., 2006, OLIVE OIL CHEM TECHN, P75