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Assessment of polar phenolic compounds of virgin olive oil by NIR and mid‐IR spectroscopy and their impact on quality
Author(s) -
MoraRuiz Maria Eugenia,
ReboredoRodríguez Patricia,
Salvador Maria Desamparados,
GonzálezBarreiro Carmen,
CanchoGrande Beatriz,
SimalGándara Jesús,
Fregapane Giuseppe
Publication year - 2017
Publication title -
european journal of lipid science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.614
H-Index - 94
eISSN - 1438-9312
pISSN - 1438-7697
DOI - 10.1002/ejlt.201600099
Subject(s) - tyrosol , hydroxytyrosol , polar , partial least squares regression , chemistry , olive oil , near infrared spectroscopy , calibration , chemical polarity , chemometrics , phenols , chromatography , food science , analytical chemistry (journal) , mathematics , polyphenol , statistics , organic chemistry , molecule , physics , quantum mechanics , astronomy , antioxidant
Chemometric analyses of near‐ (NIR) and middle‐infrared (mid‐IR) spectroscopy spectral data (12 500–4000 cm −1 and 4000–400 cm −1 ) by Partial Least Square (PLS) regression combined with analytical determination of polar phenolic compounds measured by HPLC in different varieties, geographical origin and marketplace categories olive oils—Protected Denomination of Origin (PDO) “Montes de Toledo”; Galician; high quality extra virgin (“Gourmet”/“Premium”); and commercial extra virgin and olive oils—were used to generate calibration and validation models in order to be able to predict the content and profile of these minor compounds, and thereby the quality of the product. Satisfactory multivariate test set validation algorithms were obtained for virgin olive oil (VOO)'s total polar phenolic (TPP) compounds ( r = 0.91), hydroxytyrosol and tyrosol secoiridoid derivatives (HtyrSec, TyrSec; r = 0.91 and 0.92, respectively). Contrary to NIRS, the chemometric analysis of the mid‐IR spectra gave no satisfactory validation models ( r = 0.43, 0.54, and 0.66 for HtyrSec, TyrSec, and TPP), despite that the calibration algorithms gave even higher correlation than NIRS ( r > 0.96 for all the polar phenolics studied). Practical applications: The results establish that NIRS is a very useful technique that allows rapid screening of VOO samples to estimate polar phenolic profile, and thereby their quality and commercial grade. Furthermore, it may give real time information about olive oil composition during processing in order to automatically control technological parameters. NIRS is a very useful technique that allows rapid screening of VOO samples to estimate polar phenolic profile, and thereby their quality and commercial grade.