Supplementary Information for Modeling grape taste and mouthfeel from chemical composition
Appendix A Chemicals 2 Chromatographic conditions 3 Appendix B Table S1. Detailed list of Tempranillo Samples employed in the study 5 Table S2. Detailed list of Garnacha Tinta Samples employed in the study. 6 Table S3. List of 23 terms used for descriptive analyis by rate-k-attributes method 7 Figure S1. Chromatograms derived from the UHPLC-MS/MS analysis of the mean degree of polymerization by phloroglucinol reaction…………………………………...8 Figure S2. Chromatograms derived from UHPLC-MS/MS analysis of anthocyanins…9 Figure S3. Chromatograms derived from the UHPLC-MS/MS analysis of low molecular weight polyphenols…………………………………......................................................10 Figure S4. Mean intensity scores of discriminant attributes among clusters scored by rate-k-attribute method for Tempranillo Tinto sample set. 11 Figure S5. Significant terms derived from rate-k-attributes method describing Garnacha Tinta clusters derived from sorting task. 12 Figure S6. Significant terms derived from rate-k-attributes method describing Garnacha clusters derived from rate-k-attributes. 13 Table S4. Average values (±sd) of chemical parameters evaluated in Tempranillo Tinto and Garnacha Tinta PFs. 14
Main Authors: | , , , , , , , , |
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Other Authors: | |
Format: | dataset biblioteca |
Language: | English |
Published: |
Elsevier
2022
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Online Access: | http://hdl.handle.net/10261/312320 |
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