Improving the estimations of fatty acids in several Andalusian PDO olive oils from NMR spectral data

M. I. Sánchez-Rodríguez, E. M. Sánchez-López, A. Marinas, J. M. Caridad, F. J. Urbano and J. M. Marinas

Journal of Applied Statistics, 2016, vol. 43, issue 10, 1765-1793

Abstract: The aim of this paper is to determine the fatty acid profile of diverse Andalusian extra-virgin olive oils from different protected designations of origin (PDO). The available data for the statistical multivariate analysis have been obtained from gas chromatography (GC, used as classical reference analytical technique) and nuclear magnetic resonance (NMR) spectroscopy : -NMR and -NMR (in the carbonyl, C-16 y aliphatic carbon regions). The diverse percentages of fatty acids approximated by the above-mentioned chemical procedures are summarized by using a statistical treatment, which presents a some weighted averages to obtain the closest fatty acid profile to the one provided by the GC reference technique, with weights being inversely proportional to some measures of the calibration errors. Besides, the work shows that the PDO of an olive oil conditions the NMR region ( -NMR or carbonyl, C-16 or aliphatic -NMR) which provides the best estimation of each type of fatty acid. Finally, procedures of cross-validation are implemented in order to generalize the previous results.

Date: 2016
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/02664763.2015.1119808 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:japsta:v:43:y:2016:i:10:p:1765-1793

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CJAS20

DOI: 10.1080/02664763.2015.1119808

Access Statistics for this article

Journal of Applied Statistics is currently edited by Robert Aykroyd

More articles in Journal of Applied Statistics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().