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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Coupling dye-integrated polymeric membranes with smartphone detection to classify bacteria

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Author(s):
Bueno, Ligia [1] ; Cottell, Alison [2] ; Reddy, Subrayal M. [3] ; Paixao, Thiago R. L. C. [1]
Total Authors: 4
Affiliation:
[1] Univ Sao Paulo, Inst Quim, BR-05500000 Sao Paulo, SP - Brazil
[2] Univ Surrey, FHMS, Dept Microbiol & Cellular Sci, Guildford GU2 7XH, Surrey - England
[3] Univ Surrey, FEPS, Dept Chem, Guildford GU2 7XH, Surrey - England
Total Affiliations: 3
Document type: Journal article
Source: RSC ADVANCES; v. 5, n. 119, p. 97962-97965, 2015.
Web of Science Citations: 5
Abstract

We report the use of a colorimetric plastic-based device to discriminate four pathogenic bacteria: Klebsiella pneumoniae, Proteus vulgaris, Proteus mirabilis and Escherichia coli. The colour changes of the plastic membranes were analysed with RGB values extracted from dye-integrated polymeric membrane images obtained with a smart-phone and used as input data for non-supervised pattern recognition methods. (AU)

FAPESP's process: 11/23355-3 - Study and development of intelligent devices (electronic noses and tongues) aiming to the discrimination of contamination in foods
Grantee:Lígia Bueno Bedatty
Support type: Scholarships in Brazil - Doctorate
FAPESP's process: 14/50792-3 - Development and characterization of molecularly imprinted polymer-based sensor for biomarker detection
Grantee:Thiago Regis Longo Cesar da Paixão
Support type: Regular Research Grants