Cultivar and geographical origin authentication of Italian extra virgin olive oil using front-face fluorescence spectroscopy and chemometrics

被引:53
作者
Al Riza, Dimas Firmanda [1 ,2 ]
Kondo, Naoshi [1 ]
Rotich, Vincent Kipkirui [1 ]
Perone, Claudio [4 ]
Giametta, Ferruccio [1 ,3 ]
机构
[1] Kyoto Univ, Grad Sch Agr, Lab Biosensing Engn, Kyoto 6068267, Japan
[2] Univ Brawijaya, Fac Agr Technol, Dept Agr Engn, Jl Vet, Malang 65145, Indonesia
[3] Univ Molise, Dept Agr Environm & Food, Via Francesco De Sanctis, I-86100 Campobasso, Italy
[4] Univ Foggia, Dept Sci Agr Food & Environm, Via Napoli 25, I-71122 Foggia, Italy
关键词
Classification; Fluorescence fingerprint; EEM; Variable selection; Varietal traceability; PHENOLIC PROFILES; ADULTERATION; CLASSIFICATION; FEATURES; SPECTRA;
D O I
10.1016/j.foodcont.2020.107604
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
A front-face fluorescence method has been used to obtain an excitation-emission matrix (EEM) of various Italian mono-cultivar, and mix-cultivar, extra virgin olive oils without any laborious sample preparation. These EEM use excitations from 230 to 360 nm and emissions from 260 to 390 nm to explore potential fingerprint characteristics that could be used for cultivar and geographical origin authentication. To simplify these complex spectral datasets, the variable reduction was undertaken using total absolute principal component coefficients. It has been found that at least 3 excitation wavelengths are necessary to obtain 5 variables which could explain more than 95% of the sample variance with 4 principal components. The 5 selected wavelength pairs (Ex./Em. 300/315; 300/340; 280/300; 280/320; and 265/330 nm) are recommended as a sensitive fingerprint of the EVOOs. Of the subsequent models explored based on this fingerprint, a non-parametric fine k-NN classifier was found to best classify the cultivar and geographical origins of the EVOOs. This result demonstrates that multiple excitation fluorescence techniques can be used for authentication of EVOO cultivars and geographical origins.
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页数:9
相关论文
共 43 条
[1]   Food Genomics for the Characterization of PDO and PGI Virgin Olive Oils [J].
Agrimonti, Caterina ;
Marmiroli, Nelson .
EUROPEAN JOURNAL OF LIPID SCIENCE AND TECHNOLOGY, 2019, 121 (03)
[2]   A preliminary study on the potential of front face fluorescence spectroscopy for Italian mono-cultivar extra virgin olive oil discrimination [J].
Al Riza, Dimas Firmanda ;
Kondo, Naoshi ;
Catalano, Pasquale ;
Giametta, Ferruccio .
JOURNAL OF AGRICULTURAL ENGINEERING, 2019, 50 (01) :5-11
[3]   A Systematic Comparison of Supervised Classifiers [J].
Amancio, Diego Raphael ;
Comin, Cesar Henrique ;
Casanova, Dalcimar ;
Travieso, Gonzalo ;
Bruno, Odemir Martinez ;
Rodrigues, Francisco Aparecido ;
Costa, Luciano da Fontoura .
PLOS ONE, 2014, 9 (04)
[4]  
[Anonymous], 2017, Idaho Annual Statistical Bulletin, P1
[5]  
[Anonymous], 2006, THESIS U ROVIRA VIRG
[6]   Evaluating the potential of phenolic profiles as discriminant features among extra virgin olive oils from Moroccan controlled designations of origin [J].
Bajoub, Aadil ;
Ajal, El Amine ;
Fernandez-Gutierrez, Alberto ;
Carrasco-Pancorbo, Alegria .
FOOD RESEARCH INTERNATIONAL, 2016, 84 :41-51
[7]   Development of Rapid Extra Virgin Olive Oil Quality Assessment Procedures Based on Spectroscopic Techniques [J].
Baltazar, Paola ;
Hernandez-Sanchez, Natalia ;
Diezma, Belen ;
Lieo, Lourdes .
AGRONOMY-BASEL, 2020, 10 (01)
[8]   Characterization and evaluation of phenolic profiles and color as potential discriminating features among Spanish extra virgin olive oils with protected designation of origin [J].
Becerra-Herrera, Mercedes ;
Velez-Martin, Alberto ;
Ramos-Merchante, Adrian ;
Richter, Pablo ;
Beltran, Rafael ;
Sayago, Ana .
FOOD CHEMISTRY, 2018, 241 :328-337
[9]   Non-destructive evaluation of ripening and quality traits in apples using a multiparametric fluorescence sensor [J].
Betemps, Debora L. ;
Carlos Fachinello, Jose ;
Galarca, Simone P. ;
Portela, Nicacia M. ;
Remorini, Damiano ;
Massai, Rossano ;
Agati, Giovanni .
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE, 2012, 92 (09) :1855-1864
[10]   The Compounds Responsible for the Sensory Profile in Monovarietal Virgin Olive Oils [J].
Campestre, Cristina ;
Angelini, Guido ;
Gasbarri, Carla ;
Angerosa, Franca .
MOLECULES, 2017, 22 (11)