Use of FTIR and UV-visible spectroscopy in determination of chemical characteristics of olive oils.
Talanta
; 201: 65-73, 2019 Aug 15.
Article
em En
| MEDLINE
| ID: mdl-31122462
ABSTRACT
It was aimed to predict fatty acid ethyl ester (FAEE), wax, diacylglycerol (DAG) and color pigment contents of olive oils by using rapid and non-destructive spectroscopic techniques (FTIR and UV-vis) individually and in combination. Prediction models were constructed by using partial least squares (PLS) regression with cross and external validation. FAEEs were estimated best with FTIR + UV-Vis spectroscopy (R2cv.â¯=â¯0.84, R2pred.â¯=â¯0.90, and RPDâ¯=â¯3.0). PLS model with R2cvâ¯=â¯0.79, R2predâ¯=â¯0.71, and RPDâ¯=â¯1.9 was obtained for the estimation of 1,2 DAG using FTIR spectral data. Major pigments, lutein, pheophytin a and their derivatives and total xanthophylls were quantified successfully by FTIR + UV-Vis with a range of R2cv of 0.71-0.85, R2pred of 0.70-0.84, and RPDâ¯=â¯1.5-2.5 values but the prediction of the rest of the pigments were poor (R2cvâ¯=â¯0.60-0.76, R2pred0.42-0.62, and RPDâ¯=â¯1.2-1.5). Combination of two spectral data resulted in average prediction of wax content of oils (R2cal.â¯=â¯0.95, R2pred.â¯=â¯0.75, and RPDâ¯=â¯1.9). FTIR and UV-vis spectroscopic techniques in combination with PLS regression provided promising results for the prediction of several chemical parameters of olive oils; therefore, they could be alternatives to traditional analysis methods.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Prognostic_studies
Idioma:
En
Revista:
Talanta
Ano de publicação:
2019
Tipo de documento:
Article