An Electronic Nose as a Non-Destructive Analytical Tool to Identify the Geographical Origin of Portuguese Olive Oils from Two Adjacent Regions

被引:2
|
作者
Rodrigues, Nuno [1 ,2 ]
Ferreiro, Nuno [1 ,2 ]
Veloso, Ana C. A. [3 ,4 ,5 ]
Pereira, Jose A. [1 ,2 ]
Peres, Antonio M. [1 ,2 ]
机构
[1] Inst Politecn Braganca, Ctr Invest Montanha CIMO, Campus Santa Apolonia, P-5300253 Braganca, Portugal
[2] Inst Politecn Braganca, Lab Associado Sustentabilidade & Tecnol Regiao Mon, Campus Santa Apolonia, P-5300253 Braganca, Portugal
[3] Inst Politecn Coimbra, ISEC, DEQB, Rua Pedro Nunes, P-3030199 Coimbra, Portugal
[4] Univ Minho, CEB Ctr Biol Engn, Campus Gualtar, P-4710057 Braga, Portugal
[5] LABBELS Associate Lab, Braga, Portugal
关键词
EVOO quality; sensory analysis; oxidative stability; metal oxide semiconductor sensors; multivariate qualitative-quantitative analysis; resistance electrical signals; feature extraction parameters;
D O I
10.3390/s22249651
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The geographical traceability of extra virgin olive oils (EVOO) is of paramount importance for oil chain actors and consumers. Oils produced in two adjacent Portuguese regions, Coa (36 oils) and Douro (31 oils), were evaluated and fulfilled the European legal thresholds for EVOO categorization. Compared to the Douro region, oils from Coa had higher total phenol contents (505 versus 279 mg GAE/kg) and greater oxidative stabilities (17.5 versus 10.6 h). The majority of Coa oils were fruity-green, bitter, and pungent oils. Conversely, Douro oils exhibited a more intense fruity-ripe and sweet sensation. Accordingly, different volatiles were detected, belonging to eight chemical families, from which aldehydes were the most abundant. Additionally, all oils were evaluated using a lab-made electronic nose, with metal oxide semiconductor sensors. The electrical fingerprints, together with principal component analysis, enabled the unsupervised recognition of the oils' geographical origin, and their successful supervised linear discrimination (sensitivity of 98.5% and specificity of 98.4%; internal validation). The E-nose also quantified the contents of the two main volatile chemical classes (alcohols and aldehydes) and of the total volatiles content, for the studied olive oils split by geographical origin, using multivariate linear regression models (0.981 <= R-2 <= 0.998 and 0.40 <= RMSE <= 2.79 mg/kg oil; internal validation). The E-nose-MOS was shown to be a fast, green, non-invasive and cost-effective tool for authenticating the geographical origin of the studied olive oils and to estimate the contents of the most abundant chemical classes of volatiles.
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页数:14
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