研究目的
To evaluate the fatty acids composition in monovarietal extra virgin olive oils from the Alentejo region using non-destructive FT-NIRS method and to establish correlations and prediction models for quality control.
研究成果
FT-NIRS is a rapid, non-destructive method suitable for quality control of FA in EVOOs, particularly for unsaturated fatty acids, with high predictive accuracy. It can replace time-consuming chromatographic methods.
研究不足
The total number of samples was only 82, which may limit the robustness of the models; future research should include more samples for better generalization.
1：Experimental Design and Method Selection:
The study used FT-NIRS combined with chemometric analysis (CVPLSR with SNV pre-processing and NIPALS algorithm) to correlate spectral data with FA components determined by GC-FID.
2：Sample Selection and Data Sources:
82 monovarietal EVOO samples from 9 cultivars in Alentejo, Portugal, collected in
3：List of Experimental Equipment and Materials:
20 FT-NIR spectrometer (MPA, Opus Bruker), GC-FID system (Hewlett Packard 6890 series), chemicals from Merck, VWR International, and Sigma-Aldrich.
4：Experimental Procedures and Operational Workflow:
Samples were stored in amber bottles; FA analysis via trans-esterification and GC-FID; FT-NIRS spectra acquired in absorbance mode with 32 scans per sample; data processed using Unscrambler and Statgraphics software.
5：Data Analysis Methods:
Multivariate analysis including PLSR, CDA, ANOVA, with statistical parameters like R, RMSE, RPD.
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FT-NIR spectrometer
MPA
Bruker
Acquiring near-infrared spectra of olive oil samples for analysis
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Auto-sampler
7683
Agilent
Automating sample injection in GC analysis
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Software
Opus v. 7.5
Bruker Optik GmbH
Collecting and processing spectral data from FT-NIRS
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GC-FID system
6890 series
Hewlett Packard
Quantifying fatty acid methyl esters in olive oil samples
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Capillary column
SPTM 2380
Supelco
Separating fatty acid methyl esters in GC analysis
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Software
Clarity Software Solutions v. 7.4
Advanced Chromatography Data Station
Data acquisition, processing, and instrument control for GC-FID
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Software
Unscrambler version 10.4
Camo ASA
Performing chemometric analysis on FT-NIR spectra
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Software
Statgraphics Centurion XVI
Establishing correlations between FA-components using statistical analysis
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Software
IBM SPSS Statistics 20
IBM
Performing canonical discriminant analysis for classifying olive oils
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