Literature DB >> 11261853

Dynamic model of amperometric biosensors. Characterisation of glucose biosensor output.

T Rinken1, T Tenno.   

Abstract

An integrated model for the characterisation of the output signal course of oxidase-bound amperometric biosensors is presented and evaluated in the case of glucose biosensors. This model integrates two earlier proposed models, the model of oxygen transducer-based biosensors, allowing the prediction of steady state parameters from the transient response and the dynamic signal lag model, characterising the electrochemical diffusion-limited sensors. The integrated model allows the characterisation of the whole biosensor signal output, originating from the output curve itself with errors less than 3% and no need to determine the system's geometrical, diffusion and partition parameters.

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Year:  2001        PMID: 11261853     DOI: 10.1016/s0956-5663(00)00133-0

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  2 in total

1.  Protein-based biosensors for diabetic patients.

Authors:  Viviana Scognamiglio; Maria Staiano; Mose Rossi; Sabato D'Auria
Journal:  J Fluoresc       Date:  2004-09       Impact factor: 2.217

2.  Modeling microelectrode biosensors: free-flow calibration can substantially underestimate tissue concentrations.

Authors:  Adam J H Newton; Mark J Wall; Magnus J E Richardson
Journal:  J Neurophysiol       Date:  2016-12-07       Impact factor: 2.714

  2 in total

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