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Rapid assessment of monovarietal Portuguese Extra Virgin Olive Oil's (EVOO's) fatty acids by Fourier-transform Near-Infrared Spectroscopy (FT-NIRS)
摘要： A rapid method for the evaluation of fatty acids (FA) of monovarietal Portuguese extra virgin olive oils (EVOO) (n = 82) from Alentejo, south-central region of Portugal, was developed based on Fourier-transform near-infrared spectroscopy (FT-NIRS). The contents of FA-components (previously determined per conventional gas chromatography) were correlated with FT-NIRS data (independent variable), by means of full cross-validation partial least squares regression (CVPLSR). CVPLSR was run using standard normal variate (SNV) data pre-processing and nonlinear iterative partial least squares (NIPALS) algorithm. Obtained correlation models were 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) confirmed the FT-NIRS as a potential method for rapid quality control of EVOO’s FA.
关键词： Extra virgin olive oils,fatty acids,CVPLSR,chemometrics,FT-NIRS
更新于2025-09-23 15:22:29
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The First Identification of the Uniqueness and Authentication of Maltese Extra Virgin Olive Oil Using 3D-Fluorescence Spectroscopy Coupled with Multi-Way Data Analysis
摘要： The potential application of multivariate three-way data analysis techniques, namely parallel factor analysis (PARAFAC) and discriminant multi-way partial least squares regression (DN-PLSR), on three-dimensional excitation emission matrix (3D-EEM) fluorescent data were used to identify the uniqueness and authenticity of Maltese extra virgin olive oil (EVOO). A non-negativity constrained PARAFAC model revealed that a four-component model provided the most appropriate solution. Examination of the extracted components in mode 2 and 3 showed that these belonged to different fluorophores present in extra virgin olive oil. Application of linear discriminate analysis (LDA) and binary logistic regression analysis on the concentration of the four extracted fluorophores, showed that it is possible to discriminate Maltese EVOOs from non-Maltese EVOOs. The application of DN-PLSR provided superior means for discrimination of Maltese EVOOs. Further inspection of the extracted latent variables and their variable importance plots (VIPs) provided strong proof of the existence of four types of fluorophores present in EVOOs and their potential application for the discrimination of Maltese EVOOs.
关键词： extra virgin olive oils,DN-PLSR,Maltese islands,PARAFAC,3D-fluorescence
更新于2025-09-23 15:19:57