Fac-simile Scheda Linee di Ricerca - Federalimentare

Dati pubblicati inerenti il tema di ricerca:1. Cosio M.S., Buratti S., Benedetti S., Mannino S. (2006). Use of the electrochemical methodfor the determination of the antioxidant power of the extract herbs from the Labiatae Family.Food Chemistry 97, 725-731.This paper describes a rapid method for the evaluation of the antioxidant activity of herb extracts from the Labiataefamily. Herb methanolic extracts were analysed by using a flow injection (FI) system with an electrochemicaldetector equipped with a glassy carbon working electrode operating amperometrically at a potential of 0.5 V(vs. Ag/AgCl). Results obtained on extracts were compared to those obtained by using 2,2-diphenyl-1-picrylhydrazyl (DPPH⋅) test. A good correlation between the two methods was found (y =1.3726x-0.2266, r =0.9856). The samples were also submitted to screening for their total phenol content.2. Desimoni E., Brunetti B., Cosio M.S. (2006). Determination of Patent Blue V (E131) at anafion-modified glassy carbon electrode. Electroanalysis 18, (3), 231-235.Patent Blue V was determined in aqueous solutions at a Nafion-coated glassy carbon electrode using a DPVtechnique. Preliminary cyclic voltammetric studies allowed to choose the most sensitive peak and a further DPVstudy allowed determining the analyte in the 10_7–10_6 M range, with a detection limit equal to 7.6x10 - 8 M,two orders of magnitude lower than at a bare GC electrode. The modified electrode was applied to the analysisof matrices of alimentary concern in presence of tartrazine. Thanks to the method high sensitivity, very dilutedsamples can be analyzed minimizing the matrix effects.3. Cosio M.S., Ballabio D., Benedetti S., Gigliotti C. (2006). Geographical origin and authenticationof extra virgin olive oils by an electronic nose in combination with artificial neuralnetworks. Analitica Chimica Acta 567, 202-210.An electronic nose and an electronic tongue, in combination with multivariate analysis, have been used to verifythe geographical origin and the uniqueness of specific extra virgin olive oils. The olive oil samples belong to asmall production, located in the lake of Garda (north of Italy) and distinguished with a European Protected Denominationof Origin trademark since 1998. In order to obtain a complete description of oil samples, free acidity,peroxide value, ultraviolet indices, and phenol content have been also determined. The dataset includes 36 Gardaoils and 17 oils from other regions. Two classification models have been built by means of CounterpropagationArtificial Neural Networks in order to separate Garda and not-Garda oils, as follows: first, by using all thechemical variables and sensor signals; second, by using electronic tongue sensors; finally, by using four selectedelectronic nose sensors. All the models have been also tested with 19 commercial olive oil samples. Neural networkshave provided very satisfactory results and have indicated the electronic nose as the most appropriate toolfor the characterization of the analyzed oils.These results have suggested how electronic nose, in combination with neural networks, could represent a fast,cheap and functional method to classify and describe extra virgin olive oils from a circumscribed geographicalarea.SISTAL - SOCIETA’ ITALIANA DI SCIENZE E TECNOLOGIE ALIMENTARIDipartimento di Scienze e Tecnologie Agroalimentari, Università degli Studi della TusciaVia San Camillo de Lellis, 01100 ViterboTel.: 0761- 35 74 94/7 , Fax: 0761- 35 74 98, e-mail: mmoresi@unitus.it187