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Study and development of intelligent devices (electronic noses and tongues) aiming to the discrimination of contamination in foods

Grant number: 11/23355-3
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): March 01, 2012
Effective date (End): February 29, 2016
Field of knowledge:Physical Sciences and Mathematics - Chemistry - Analytical Chemistry
Principal researcher:Thiago Regis Longo Cesar da Paixão
Grantee:Lígia Bueno Bedatty
Home Institution: Instituto de Química (IQ). Universidade de São Paulo (USP). São Paulo , SP, Brazil


Microbiological control is an indispensable procedure for many industry sectors, especially food sectors, and for different medicine areas. Micro-organisms may be linked to food contamination and foodborne diseases. Thus, the correct identification and differentiation of these contaminating organisms are necessary in many practical applications. Hence, the present research project aims to develop and study the operation of new intelligent devices (electronic noses and tongues) for the discrimination process of micro-organisms using the volatile substances released by the species. The devices are fabricated using electrodes, modified or not, and always with the idea to extract the highest number of information related to micro-organisms studied. In a second step, we intend to develop paper colorimetric electronic noses, capable to extract visual information, colorimetric information, to discriminate the species of micro-organisms. The devices fabrication will be used reduced cost techniques when compared to lithographic techniques currently used in the manufacture of some intelligent devices. Finally, these chemical sensors developed will be applied in the analysis of food samples contaminated with pathogenic micro-organisms, specifically bacteria, in order to detect and discriminate between species presence and degree of pathogenicity in a shorter time with reduced costs and without the need for skilled labor and well-equipped laboratories.

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
BUENO, LIGIA; COTTELL, ALISON; REDDY, SUBRAYAL M.; PAIXAO, THIAGO R. L. C. Coupling dye-integrated polymeric membranes with smartphone detection to classify bacteria. RSC ADVANCES, v. 5, n. 119, p. 97962-97965, 2015. Web of Science Citations: 5.
BUENO, LIGIA; MELONI, GABRIEL N.; REDDY, SUBRAYAL M.; PAIXAO, THIAGO R. L. C. Use of plastic-based analytical device, smartphone and chemometric tools to discriminate amines. RSC ADVANCES, v. 5, n. 26, p. 20148-20154, 2015. Web of Science Citations: 15.
BUENO, LIGIA; EL-SHARIF, HAZIM F.; SALLES, MAIARA O.; BOEHM, RYAN D.; NARAYAN, ROGER J.; PAIXAO, THIAGO R. L. C.; REDDY, SUBRAYAL M. MIP-based electrochemical protein profiling. SENSORS AND ACTUATORS B-CHEMICAL, v. 204, p. 88-95, DEC 1 2014. Web of Science Citations: 13.

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