| Literature DB >> 25038700 |
Mariateresa Russo1, Demetrio Serra2, Francesca Suraci2, Rosa Di Sanzo3, Salvatore Fuda3, Santo Postorino2.
Abstract
Licorice roots cultivated commercially in distinct geographical areas such as China, Iran, Italy (Abruzzo, Basilicata, Calabria and Sicily) and Turkey were classified using an artificial olfactive system (e-nose) based on metal oxide semiconductor sensors (MOS). The resultant instrumental data were processed using a multivariate statistical analysis method in order to classify the raw samples according to its origin. The e-nose odourprintings were obtained by a canonical discriminant analysis carried out with the aim of relating the specific data-sets corresponding to whole licorice roots aroma with the e-nose reference dataset. E-nose results were compared to those obtained by SPME/GC-MS. The HS-SPME/GC/MS analysis was used as a control system to check for the actual existence of differences in the chemical composition of sample headspace. These results imply the possibility to use an electronic nose as a tool for a quick, effective and non-destructive authentication of licorice roots.Entities:
Keywords: Artificial olfactory system; E-nose; Glycyrrhiza glabra L.; HS-SPME/GC–MS; Metal oxide semiconductor
Mesh:
Year: 2014 PMID: 25038700 DOI: 10.1016/j.foodchem.2014.05.142
Source DB: PubMed Journal: Food Chem ISSN: 0308-8146 Impact factor: 7.514