Information Visualization to Enhance Sensitivity and Selectivity in Biosensing

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dc.contributor.authorOliveira, Osvaldo N.
dc.contributor.authorPavinatto, Felippe J.
dc.contributor.authorConstantino, Carlos J. L. [UNESP]
dc.contributor.authorPaulovich, Fernando V.
dc.contributor.authorde Oliveira, Maria Cristina F.
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T13:23:09Z
dc.date.available2014-05-20T13:23:09Z
dc.date.issued2012-12-01
dc.description.abstractAn overview is provided of the various methods for analyzing biosensing data, with emphasis on information visualization approaches such as multidimensional projection techniques. Emphasis is placed on the importance of data analysis methods, with a description of traditional techniques, including the advantages and limitations of linear and non-linear methods to generate layouts that emphasize similarity/dissimilarity relationships among data instances. Particularly important are recent methods that allow processing high-dimensional data, thus taking full advantage of the capabilities of modern equipment. In this area, now referred to as e-science, the choice of appropriate data analysis methods is crucial to enhance the sensitivity and selectivity of sensors and biosensors. Two types of systems deserving attention in this context are electronic noses and electronic tongues, which are made of sensor arrays whose electrical or electrochemical responses are combined to provide finger print information for aromas and tastes. Examples will also be given of unprecedented detection of tropical diseases, made possible with the use of multidimensional projection techniques. Furthermore, ways of using these techniques along with other information visualization methods to optimize biosensors will be discussed.en
dc.description.affiliationUniv São Paulo, Inst Fis Sao Carlos, BR-13560970 Sao Carlos, SP, Brazil
dc.description.affiliationUNESP Univ Estadual Paulista, Fac Ciencias & Tecnol, BR-19060900 Presidente Prudente, SP, Brazil
dc.description.affiliationUniv São Paulo, Inst Ciencias Matemat & Comp, BR-13560970 Sa o Carlos, SP, Brazil
dc.description.affiliationUnespUNESP Univ Estadual Paulista, Fac Ciencias & Tecnol, BR-19060900 Presidente Prudente, SP, Brazil
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipnBioNet (Brazil)
dc.format.extent15
dc.identifierhttp://dx.doi.org/10.1007/s13758-012-0053-7
dc.identifier.citationBiointerphases. New York: Springer, v. 7, n. 1-4, p. 15, 2012.
dc.identifier.doi10.1007/s13758-012-0053-7
dc.identifier.fileWOS000316398000005.pdf
dc.identifier.issn1934-8630
dc.identifier.urihttp://hdl.handle.net/11449/6944
dc.identifier.wosWOS:000316398000005
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofBiointerphases
dc.relation.ispartofjcr2.455
dc.relation.ispartofsjr0,558
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.titleInformation Visualization to Enhance Sensitivity and Selectivity in Biosensingen
dc.typeArtigo
dcterms.licensehttp://avspublications.org/jvsta/authors/web_posting_guidelines
dcterms.rightsHolderSpringer
unesp.author.lattes6118325967319836[3]
unesp.author.orcid0000-0002-4729-5104[5]
unesp.author.orcid0000-0002-2316-760X[4]
unesp.author.orcid0000-0002-5921-3161[3]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências e Tecnologia, Presidente Prudentept

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Artigos - Física, Química e Biologia - FCT