Detection of food and skin pathogen microbiota by means of an electronic nose based on metal oxide chemiresistors
Authors: Carmona E.N., Sberveglieri V., Ponzoni A., Galstyan V., Zappa D., Pulvirenti A., Comini E.
Autors Affiliation: CNR-INO Sensor Lab, Via Branze 45, 25123, Brescia, Italy; University of Brescia, Department of Information Engineering, Via Valotti 9, 25133, Brescia, Italy; University of Modena and Reggio Emilia, Department of Live Science, 42124, Reggio Emilia, Italya
Abstract: This work illustrates the potentiality of a mixed array merging the Nanowire and thin film metal oxide technologies to develop an electronic nose as a tool to monitor the human skin and food pathogen micro biota. Nanowire and thin film sensors have been fabricated, characterized and then integrated together to develop a hybrid device that can enhance the sensing performance. Different blends of microorganisms grown in artificial sweat have been tested. Classical techniques, like GC-MS (Gas Chromatography-Mass Spectrometry) with SPME (Solid Phase Micro Extraction) have been employed in parallel, in order to have a multidisciplinary approach and a consistent data set. The obtained results show the potentiality of the proposed electronic nose to discriminate between the different blends of microorganisms and to follow up microbiota growth inside the blends. (C) 2016 Elsevier B.V. All rights reserved.
Journal/Review: SENSORS AND ACTUATORS. B, CHEMICAL (PRINT)
Volume: 238 Pages from: 1224 to: 1230
More Information: The authors acknowledge the financial support from the European Commission the FP7 project \”Sniffer for concealed people discovery (SNOOPY)\” (grant agreement no. 313110). Authors are pleased to thank Manohar P. Bhandari for the English revision of the manuscript.KeyWords: Skin microbiota; Nanowire; VOC; Cross contamination; GC-MS-SPMEDOI: 10.1016/j.snb.2016.09.086Citations: 18data from “WEB OF SCIENCE” (of Thomson Reuters) are update at: 2020-08-02References taken from IsiWeb of Knowledge: (subscribers only)Connecting to view paper tab on IsiWeb: Click hereConnecting to view citations from IsiWeb: Click here