Wine Traceability Using Chemical Analysis, Isotopic Parameters, and Sensory Profiles
NMR/IRMS techniques are now widely used to assess the geographical origin of wines. The sensory profile of a wine is also an interesting method of characterizing its origin. This study aimed at elaborating chemical, isotopic, and sensory parameters by means of statistical analysis. The data were det...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-07-01
|
| Series: | Beverages |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2306-5710/4/3/54 |
| _version_ | 1818293260477530112 |
|---|---|
| author | Federica Bonello Maria Carla Cravero Valentina Dell’Oro Christos Tsolakis Aldo Ciambotti |
| author_facet | Federica Bonello Maria Carla Cravero Valentina Dell’Oro Christos Tsolakis Aldo Ciambotti |
| author_sort | Federica Bonello |
| collection | DOAJ |
| description | NMR/IRMS techniques are now widely used to assess the geographical origin of wines. The sensory profile of a wine is also an interesting method of characterizing its origin. This study aimed at elaborating chemical, isotopic, and sensory parameters by means of statistical analysis. The data were determined in some Italian white wines—Verdicchio and Fiano—and red wines—Refosco dal Peduncolo Rosso and Nero d’Avola—produced from grapes grown in two different regions with different soil and climatic conditions during the years 2009–2010. The grapes were cultivated in Veneto (northwest Italy) and Marches (central Italy). The results show that the multivariate statistical analysis PCA (Principal Component Analysis) of all the data can be a useful tool to characterize the vintage and identify the origin of wines produced from different varieties. Moreover, it could discriminate wines of the same variety produced in regions with different soil and climatic conditions. |
| first_indexed | 2024-12-13T03:13:02Z |
| format | Article |
| id | doaj.art-b2cb4fa726a84587a79d061f2e455096 |
| institution | Directory Open Access Journal |
| issn | 2306-5710 |
| language | English |
| last_indexed | 2024-12-13T03:13:02Z |
| publishDate | 2018-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Beverages |
| spelling | doaj.art-b2cb4fa726a84587a79d061f2e4550962022-12-22T00:01:33ZengMDPI AGBeverages2306-57102018-07-01435410.3390/beverages4030054beverages4030054Wine Traceability Using Chemical Analysis, Isotopic Parameters, and Sensory ProfilesFederica Bonello0Maria Carla Cravero1Valentina Dell’Oro2Christos Tsolakis3Aldo Ciambotti4CREA Research Centre for Viticulture and Enology, Via Micca 35, 14100 Asti, ItalyCREA Research Centre for Viticulture and Enology, Via Micca 35, 14100 Asti, ItalyCREA Research Centre for Viticulture and Enology, Via Micca 35, 14100 Asti, ItalyCREA Research Centre for Viticulture and Enology, Via Micca 35, 14100 Asti, ItalyCREA Research Centre for Viticulture and Enology, Via Micca 35, 14100 Asti, ItalyNMR/IRMS techniques are now widely used to assess the geographical origin of wines. The sensory profile of a wine is also an interesting method of characterizing its origin. This study aimed at elaborating chemical, isotopic, and sensory parameters by means of statistical analysis. The data were determined in some Italian white wines—Verdicchio and Fiano—and red wines—Refosco dal Peduncolo Rosso and Nero d’Avola—produced from grapes grown in two different regions with different soil and climatic conditions during the years 2009–2010. The grapes were cultivated in Veneto (northwest Italy) and Marches (central Italy). The results show that the multivariate statistical analysis PCA (Principal Component Analysis) of all the data can be a useful tool to characterize the vintage and identify the origin of wines produced from different varieties. Moreover, it could discriminate wines of the same variety produced in regions with different soil and climatic conditions.http://www.mdpi.com/2306-5710/4/3/54NMRIRMSsensory analysestraceabilitygeographical originisotopes |
| spellingShingle | Federica Bonello Maria Carla Cravero Valentina Dell’Oro Christos Tsolakis Aldo Ciambotti Wine Traceability Using Chemical Analysis, Isotopic Parameters, and Sensory Profiles Beverages NMR IRMS sensory analyses traceability geographical origin isotopes |
| title | Wine Traceability Using Chemical Analysis, Isotopic Parameters, and Sensory Profiles |
| title_full | Wine Traceability Using Chemical Analysis, Isotopic Parameters, and Sensory Profiles |
| title_fullStr | Wine Traceability Using Chemical Analysis, Isotopic Parameters, and Sensory Profiles |
| title_full_unstemmed | Wine Traceability Using Chemical Analysis, Isotopic Parameters, and Sensory Profiles |
| title_short | Wine Traceability Using Chemical Analysis, Isotopic Parameters, and Sensory Profiles |
| title_sort | wine traceability using chemical analysis isotopic parameters and sensory profiles |
| topic | NMR IRMS sensory analyses traceability geographical origin isotopes |
| url | http://www.mdpi.com/2306-5710/4/3/54 |
| work_keys_str_mv | AT federicabonello winetraceabilityusingchemicalanalysisisotopicparametersandsensoryprofiles AT mariacarlacravero winetraceabilityusingchemicalanalysisisotopicparametersandsensoryprofiles AT valentinadelloro winetraceabilityusingchemicalanalysisisotopicparametersandsensoryprofiles AT christostsolakis winetraceabilityusingchemicalanalysisisotopicparametersandsensoryprofiles AT aldociambotti winetraceabilityusingchemicalanalysisisotopicparametersandsensoryprofiles |