期刊
EUROPEAN JOURNAL OF LIPID SCIENCE AND TECHNOLOGY
卷 121, 期 3, 页码 -出版社
WILEY
DOI: 10.1002/ejlt.201800392
关键词
chemometrics; CVPLSR; extra virgin olive oils; fatty acids; FT-NIRS
资金
- National Funds through FCT - Foundation for Science and Technology [PTDC/AGRPRO/2003/2014-Por3O, UID/AGR/00115/2013]
- program Alentejo 2020 through the European Fund for Regional Development [ALT20-03-0145-FEDER-000014]
- FCT [SFRH/BPD/109912/2015]
A rapid method for the evaluation of fatty acids (FA) of monovarietal Portuguese extra virgin olive oils (EVOOs) (n = 82) from Alentejo, south-central region of Portugal, is developed based on Fourier-transform near-infrared spectroscopy (FT-NIRS). The contents of FA-components (previously determined per conventional gas chromatography) are correlated with FT-NIRS data (independent variable), by means of full cross-validation partial least squares regression (CVPLSR). CVPLSR is run using standard normal variate (SNV) data pre-processing and the nonlinear iterative partial least squares (NIPALS) algorithm. Obtained correlation models are characterized with good statistics: high correlation coefficients (R > 0.85) and low root mean square errors (RMSE < 2.04). Obtained values of the residual predictive deviation (RPD) of CVPLSR-model, higher than 5.0 (C18:1, C18:2, MUFA, PUFA) confirm the FT-NIRS as a potential method for rapid quality control of EVOO's FA. Practical Applications: In this work for the first time, fatty acid (FA) profile of monovarietal extra virgin olive oil (EVOO) samples of the greatest olive region in Portugal-Alentejo-is analyzed by Fourier-transform near-infrared spectroscopy (FT-NIRS) and chemometrics. Obtained high-quality results allow one to recommend this technique from monitoring to quality control analysis of FA (in particular, of representative unsaturated FA), in a great number of olive oil samples, in near-real time.
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