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dc.creatorJokić, Ivana
dc.creatorFrantlović, Miloš
dc.creatorĐurić, Zoran G.
dc.creatorRadulović, Katarina
dc.creatorJokic, Zorana
dc.date.accessioned2019-01-30T17:43:23Z
dc.date.available2019-01-30T17:43:23Z
dc.date.issued2015
dc.identifier.issn0167-9317
dc.identifier.urihttp://cer.ihtm.bg.ac.rs/handle/123456789/1615
dc.description.abstractWe present a theoretical model of adsorption-desorption (AD) noise in microfluidic biosensors operating in multianalyte environments. This noise is caused by the stochastic nature of the processes that generate the sensor response: reversible adsorption of n analytes coupled with mass transfer (convection and diffusion) of analyte particles through the microfluidic channel to and from the surface binding sites. The parameters of the obtained analytical expression for the AD noise power spectral density, determining the shape of the noise spectrum, contain information on the concentrations of all the adsorbing species, their association and dissociation rate constants, mass transfer coefficients and molecular masses. The AD noise spectrum, therefore, offers additional data about multiple analytes, apart from those obtained by the commonly used time domain analysis of sensor response. Therefore the derived model of AD noise contributes to the theoretical basis necessary for the development of new methods for determination of target analyte parameters in complex samples or even for simultaneous detection of multiple analytes using a single sensor, based on the measured noise spectrum.en
dc.publisherElsevier Science Bv, Amsterdam
dc.relationSerbian Academy of Sciences and Arts, Project F-150
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/32008/RS//
dc.rightsrestrictedAccess
dc.sourceMicroelectronic Engineering
dc.subjectAdsorption-desorption noiseen
dc.subjectMultianalyte detectionen
dc.subjectMicrofluidic biosensoren
dc.subjectMass transferen
dc.subjectFluctuationsen
dc.titleAdsorption-desorption noise in microfluidic biosensors operating in multianalyte environmentsen
dc.typearticle
dc.rights.licenseARR
dcterms.abstractЈокић, Ивана; Ђурић, Зоран Г.; Радуловић, Катарина; Јокиц, Зорана; Франтловић, Милош;
dc.citation.volume144
dc.citation.spage32
dc.citation.epage36
dc.citation.other144: 32-36
dc.citation.rankM22
dc.identifier.doi10.1016/j.mee.2015.02.032
dc.identifier.rcubConv_3368
dc.identifier.scopus2-s2.0-84924049788
dc.identifier.wos000357908500008
dc.type.versionpublishedVersion


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