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.
journal_name
Food Chemjournal_title
Food chemistryauthors
Russo M,Serra D,Suraci F,Di Sanzo R,Fuda S,Postorino Sdoi
10.1016/j.foodchem.2014.05.142subject
Has Abstractpub_date
2014-12-15 00:00:00pages
467-74eissn
0308-8146issn
1873-7072pii
S0308-8146(14)00859-0journal_volume
165pub_type
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