Recognition of volatile compounds as markers in geographical discrimination of Spanish extra virgin olive oils by chemometric analysis of non-specific chromatography volatile profiles

  1. Pizarro, C. 1
  2. Rodríguez-Tecedor, S. 1
  3. Pérez-del-Notario, N. 1
  4. González-Sáiz, J.M. 1
  1. 1 Universidad de La Rioja
    info

    Universidad de La Rioja

    Logroño, España

    GRID grid.119021.a

Journal:
Journal of Chromatography A

ISSN: 0021-9673

Year of publication: 2011

Volume: 1218

Issue: 3

Pages: 518-523

Type: Article

Export: RIS
DOI: 10.1016/j.chroma.2010.11.045 PMID: 21163487 SCOPUS: 2-s2.0-78650753915 WoS: 000286680900019 GOOGLE SCHOLAR

Metrics

Cited by

  • Scopus Cited by: 51 (12-06-2021)

Journal Citation Reports

  • Year 2011
  • Journal Impact Factor: 4.531
  • Best Quartile: Q1
  • Area: CHEMISTRY, ANALYTICAL Quartile: Q1 Rank in area: 6/73 (Ranking edition: SCIE)
  • Area: BIOCHEMICAL RESEARCH METHODS Quartile: Q1 Rank in area: 13/72 (Ranking edition: SCIE)

SCImago Journal Rank

  • Year 2011
  • SJR Journal Impact: 2.451
  • Best Quartile: Q1
  • Area: Analytical Chemistry Quartile: Q1 Rank in area: 7/104
  • Area: Biochemistry Quartile: Q1 Rank in area: 42/402
  • Area: Organic Chemistry Quartile: Q1 Rank in area: 10/182
  • Area: Medicine (miscellaneous) Quartile: Q1 Rank in area: 100/2921

CiteScore

  • Year 2011
  • CiteScore: 7.3
  • Area: Organic Chemistry Percentile: 91
  • Area: Analytical Chemistry Percentile: 90
  • Area: Medicine (all) Percentile: 88
  • Area: Biochemistry Percentile: 86

Summary

Chromatographic profiles obtained by headspace solid-phase microextraction (HS-SPME) coupled with gas chromatography (GC) were processed as continuous and non-specific signals through multivariate analysis techniques in order to select and identify the most discriminate volatile marker compounds related to the geographical origin of extra virgin olive oils. The blind analysis of the chromatographic profiles was carried out on several steps including preliminary mathematical treatments, explorative analysis, feature selection and classification. The results obtained through the application of stepwise linear discriminant analysis (SLDA) method revealed a perfect discrimination between the different Spanish geographical regions considered (La Rioja, Andalusia and Catalonia). The assignment success rate was 100% in both classification and prediction by using cross validation procedure. In addition, it must be noted that the proposed strategy was able to verify the geographical origin of the samples involving only a reduced number of discriminate retention times selected by the stepwise procedure. This fact emphasizes the quality of the accurate results obtained and encourages the feasibility of similar procedures in olive oil quality and traceability studies. Finally, volatile compounds corresponding to the predictors retained were identified by gas chromatography-mass spectrometry (GC-MS) for a chemical interpretation of their importance in quality virgin olive oils. © 2010 Elsevier B.V.