Artemisia umbelliformis Lam. and Génépi Liqueur: Volatile Profile as Diagnostic Marker for Geographic Origin and To Predict Liqueur Safety
| Autor: | Lorenzo Boggia, Barbara Sgorbini, Maria Laura Colombo, Silvana Nicola, Giuseppe Pignata, Arianna Marengo, Manuela Casale, Carlo Bicchi, Patrizia Rubiolo |
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| Rok vydání: | 2017 |
| Předmět: |
Artemisia umbelliformis Lam
food safety génépi liqueur 0106 biological sciences Solid-phase microextraction 01 natural sciences Gas Chromatography-Mass Spectrometry chemistry.chemical_compound Single site media_common.cataloged_instance Thujone European union Solid Phase Microextraction media_common Artemisia umbelliformis Volatile Organic Compounds Chromatography Geography biology Alcoholic Beverages 010401 analytical chemistry Discriminant Analysis Diagnostic marker General Chemistry biology.organism_classification 0104 chemical sciences Artemisia chemistry Geographic origin Environmental science General Agricultural and Biological Sciences 010606 plant biology & botany |
| Zdroj: | Journal of Agricultural and Food Chemistry. 65:2849-2856 |
| ISSN: | 1520-5118 0021-8561 |
| DOI: | 10.1021/acs.jafc.6b03394 |
| Popis: | Artemisia umbelliformis, commonly known as "white génépi", is characterized by a volatile fraction rich in α- and β-thujones, two monoterpenoids; under European Union (EU) regulations these are limited to 35 mg/L in Artemisia-based beverages because of their recognized activity on the human central nervous system. This study reports the results of an investigation to define the geographical origin and thujone content of individual plants of A. umbelliformis from different geographical sites, cultivated experimentally at a single site, and to predict the thujone content in the resulting liqueurs through their volatile fraction. Headspace solid phase microextraction (HS-SPME) combined with gas chromatography-mass spectrometry (GC-MS) and non-separative HS-SPME-MS were used as analytical platforms to create a database suitable for chemometric description and prediction through linear discriminant analysis (LDA). HS-SPME-MS was applied to shorten analysis time. With both approaches, a diagnostic prediction of (i) plant geographical origin and (ii) thujone content of plant-related liqueurs could be made. |
| Databáze: | OpenAIRE |
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