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dc.contributor.author Dabros, Michal
dc.contributor.author Dennewald, Danielle
dc.contributor.author Currie, David J.
dc.contributor.author Lee, Mark H.
dc.contributor.author Todd, Robert W.
dc.contributor.author Marison, Ian W.
dc.contributor.author von Stockar, Urs
dc.date.accessioned 2010-03-02T09:21:14Z
dc.date.available 2010-03-02T09:21:14Z
dc.date.issued 2009-02-01
dc.identifier.citation Dabros , M , Dennewald , D , Currie , D J , Lee , M H , Todd , R W , Marison , I W & von Stockar , U 2009 , ' Cole–Cole, linear and multivariate modeling of capacitance data for on-line monitoring of biomass ' Bioprocess and Biosystems Engineering , vol 32 , no. 2 , pp. 161-173 . , 10.1007/s00449-008-0234-4 en
dc.identifier.issn 1615-7591
dc.identifier.other PURE: 144516
dc.identifier.other dspace: 2160/4138
dc.identifier.uri http://hdl.handle.net/2160/4138
dc.description Dabros, M., Dennewald, D., Currie, D. J., Lee, M. H., Todd, R. W., Marison, I. W., von Stockar, U. (2009). Cole–Cole, linear and multivariate modeling of capacitance data for on-line monitoring of biomass. Bioprocess and Biosystems Engineering, 32 (2), 161-173. en
dc.description.abstract This work evaluates three techniques of calibrating capacitance (dielectric) spectrometers used for on-line monitoring of biomass: modeling of cell properties using the theoretical Cole–Cole equation, linear regression of dual-frequency capacitance measurements on biomass concentration, and multivariate (PLS) modeling of scanning dielectric spectra. The performance and robustness of each technique is assessed during a sequence of validation batches in two experimental settings of differing signal noise. In more noisy conditions, the Cole–Cole model had significantly higher biomass concentration prediction errors than the linear and multivariate models. The PLS model was the most robust in handling signal noise. In less noisy conditions, the three models performed similarly. Estimates of the mean cell size were done additionally using the Cole–Cole and PLS models, the latter technique giving more satisfactory results. en
dc.language.iso eng
dc.relation.ispartof Bioprocess and Biosystems Engineering en
dc.title Cole–Cole, linear and multivariate modeling of capacitance data for on-line monitoring of biomass en
dc.type Text en
dc.type.publicationtype Article (Journal) en
dc.identifier.doi http://dx.doi.org/10.1007/s00449-008-0234-4
dc.contributor.institution Department of Computer Science en
dc.contributor.institution Intelligent Robotics Group en
dc.description.status Peer reviewed en


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