metabolomics dataset manuscript "Combining untargeted profiling of phenolics and sterols, supervised multivariate class modelling and Artificial Neural Networks for the origin and authenticity of extra-virgin olive oil: a case study on Taggiasca Ligure"
Description
Dataset of phenolic compounds and sterols annotated in different extra-virgin olive oils gained from different origins, altitudes, and cultivars. This dataset was used to investigate the use of phenolics and sterols screening coupled to multivariate statistics and artificial neural networks, for authenticity and traceability purposes. TableS1: a detailed list of samples used in the study; TableS2: Matrix used for Artificial Neural Network (ANN) model. Columns represent the different Taggiasca and non-Taggiasca oils, while rows correspond to the chemical compounds used as variables; TableS3: Entire list of phenolic and sterol compounds obtained through UHPLC-ESI-QTOF mass spectrometry in olive oils from different altitudes, grouped in classes and subclasses together with annotations and composite mass spectrum; TableS4: Discriminant phenolic and sterol compounds of olive oils from different altitudes, identified by VIP (variable importance in projection) method; TableS5: Entire list of phenolic and sterol compounds obtained through UHPLC-ESI-QTOF mass spectrometry of olive oils from Imperia and Savona, defined as “Authentic” and olive oils from other Ligurian cultivars, defined as “Others”, grouped in classes and subclasses together with annotations and composite mass spectrum; TableS6: Discriminant phenolic and sterol compounds of olive oils from Imperia and Savona, defined as “Authentic” and olive oils from other Ligurian cultivars, defined as “Others”, identified by VIP (variable importance in projection) method; TableS7: Entire list of phenolic and sterol compounds obtained through UHPLC-ESI-QTOF mass spectrometry of counterfeits olive oils and olive oils Taggiasca, grouped in classes and subclasses together with annotations and composite mass spectrum; TableS8: Discriminant phenolic and sterol compounds of counterfeits olive oils and Taggiasca olive oils, identified by VIP (variable importance in projection) method; TableS9: Entire list of phenolic and sterol compounds obtained through UHPLC-ESI-QTOF mass spectrometry of Taggiasca olive oils and different olive oil varieties and origins, grouped in classes and subclasses together with annotations and composite mass spectrum; TablesS10: Discriminant phenolic and sterol compounds of Taggiasca olive oils and different olive oil varieties and origins, identified by VIP (variable importance in projection) method; TableS11:List of compounds used for Artificial Neural Network (ANN) model together with their transvariation probability index.
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Additional Metadata
| Campus | Piacenza-Cremona |
| Grant name | none |
| Grant ID | none |
| Scientific Disciplinary Area | AGR/13 - Chimica agraria, CHIM/10 - Chimica degli alimenti |