Dataset on the characterization of the flavor of two red wine varieties using sensory descriptive analysis, volatile organic compounds quantitative analysis by GC-MS and odorant composition by GC-MS-O
Creators
- 1. ONIRIS, Nantes-Atlantic College of Veterinary Medicine and Food Science, UMR GEPEA CNRS 6144, BP 82225, F-44307, Nantes, France
- 2. USC 1422 GRAPPE, INRA, Ecole Supérieure d'Agricultures, Univ. Bretagne Loire, SFR 4207 QUASAV, SensoVeg, F-49100 Angers, France
- 3. Centre des Sciences du Goût et de l'Alimentation, UMR1324 INRA, UMR6265 CNRS, AgroSup Dijon, Université de Bourgogne Franche - Comté, F-21000 Dijon, France
- 4. StatSC, Oniris, INRA, 44322 Nantes, France
- 5. Univ Paris Saclay, UMR GMPA, AgroParisTech, INRA, F-78850 Thiverval Grignon, France
- 6. Inst Francais Vigne & Vin, Unite Vins Innovat Itineraires Terroirs & Acteurs, Amboise, France
Description
The dataset contains data that were collected on 2 sets of 8 French red wines from two grape varieties, Pinot Noir (PN) and Cabernet Franc (CF). It provides, for the 16 wines, (i) sensory descriptive data obtained with a trained panel, (ii) volatile organic compounds (VOC) quantification data obtained by Gas Chromatography–Mass Spectrometry (GC-MS) and (iii) odorant composition obtained by Gas Chromatography–Mass Spectrometry–Olfactometry (GC-MS-O).
The dataset is a Microsoft Excel Worksheet containing 8 sheets.
- Sheet 1: Information
Gives information about the sheets contained in this .xlsx file
- Sheet 2: Experimental_factors
Each row represents a wine
Each column corresponds to an experimental factors of the wines (Grape variety, Vintage and Protected Designation of Origin)
- Sheet 3: List_sensory_descriptors
Lists the 33 sensory descriptors used for the sensory descriptive analysis of the wines
- Sheet 4: Sensory_descriptive_analysis
Each row represents a wine
Each column corresponds to a condition (2640 columns)
Senso_(ortho or retro)_(Panelist1 to Panelist 16)_(1 to 33 Sensory descriptors)_(1 to 3 repetitions for ortho and 1 to 2 repetitions for retro)
For the ortho (orthonasal) measurements, there is 16 panelists, 33 sensory descriptors and 3 repetitions = 1584 columns
For the retro (retronasal) measurements, there is 16 panelists, 33 sensory descriptors and 2 repetitions = 1056 columns
Each cell contains a sensory measurement for the corresponding condition in the corresponding wine
- Sheet 5: List_VOC
Lists the 45 VOC quantified in the wines with their corresponding CAS number
VOC: Volatil Organic Compounds
- Sheet 6: VOC_quantification
Each row represents a wine
Each column corresponds to a VOC (45 columns)
Each cell contains the quantification of the corresponding VOC in the corresponding wine
- Sheet 7: List_GC-MS-O
Lists the 49 odor-active compounds identified with their corresponding CAS number and the 34 compounds identified by their apex indice
- Sheet 8: GC-MS-O
Each row represents a wine
Each column corresponds to an odor-active compound identified by its CAS number or by its Apex indice if the compound was not identify (81 odor-active compounds) + the number of judges who smelled the compound and its description (by 8 judges) = 9 columns per odor-active compound for a total of 729 columns
Notes
Files
Files
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