4.7 Article

Varietal authentication of virgin olive oil: Proving the efficiency of sesquiterpene fingerprinting for Mediterranean Arbequina oils

期刊

FOOD CONTROL
卷 128, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.foodcont.2021.108200

关键词

Virgin olive oil; Cultivar; Sesquiterpene; Fingerprint; HS-SPME-GC-MS; PLS-DA

资金

  1. ACCIO-Generalitat de Catalunya (Spain)
  2. European Union through the Programa Operatiu FEDER Catalunya 2014-2020 [COMRDI1510035]
  3. European Commission within the Horizon 2020 Program [635690]
  4. Generalitat de Catalunya (Spain) [2020FI_B00595]
  5. Spanish Ministry of Science, Innovation and Universities [FPU16/01744, RYC201723601]
  6. FEDER Program [FPU16/01744, RYC201723601]
  7. H2020 Societal Challenges Programme [635690] Funding Source: H2020 Societal Challenges Programme

向作者/读者索取更多资源

This study evaluated the suitability of sesquiterpene hydrocarbon (SH) fingerprint as a cultivar marker for Virgin olive oil (VOO), focusing mainly on Mediterranean Arbequina oils. The study analyzed the SH profile of over 400 VOOs from 6 countries and built classification models to distinguish 'Arbequina' oils from other cultivars with a promising overall correct classification rate of 95.1% in external validation.
Virgin olive oil (VOO) is a highly appreciated product fundamental in the Mediterranean diet. Since its sensory attributes are greatly influenced by the olive cultivar, the varietal authentication of VOOs is needed to protect consumers from misleading information. The present study aims to evaluate the suitability of sesquiterpene hydrocarbon (SH) fingerprint as VOO cultivar marker beyond geographical, agronomical and processing conditions. The study was mainly focused on Mediterranean Arbequina oils. SH profile of more than 400 VOOs from 6 counties and 38 different cultivars and coupages was analysed by Headspace Solid Phase Microextraction-Gas Chromatography-Mass Spectrometry (HS-SPME-GC-MS). Partial Least Square-Discriminant Analysis (PLS-DA) classification models were built with the aligned chromatograms. A binary PLS-DA model was built to distinguish 'Arbequina' oils from those of other cultivars (non-'Arbequina' class) and it was externally validated. The results of the external validation showed a 95.1% of overall correct classification confirming the suitability of SH fingerprint as a screening method for the authentication of Arbequina VOO. Also, the discrimination capacity of SH fingerprinting to authenticate VOOs from other cultivars was preliminary explored and promising results were obtained.

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