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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
7-8
|
| pubmed:dateCreated |
1999-1-19
|
| pubmed:abstractText |
A new method for biosensor calibration and data processing, allowing the prediction of steady state parameters from the analysis of transient response curves (Rinken et al., 1996. Analytical Letters 29, 859), has been evaluated in the case of an oxygen sensor based two-substrate enzyme electrode for glucose determination. The electrochemical glucose biosensor was prepared by covering the surface of oxygen sensor with glucose oxidase (EC 1.1.3.4) immobilized in nylon mesh. This decreased the oxygen flow to the sensor in the presence of glucose and resulted in time-dependent decrease of the biosensor signal. Except the lag period of the response in the beginning of the assay, the oxygen consumption by the immobilized enzyme was described by an exponential function: [formula: see text] The parameter C, which corresponded to the steady-state output of the biosensor, was found to be the most suitable for glucose determination. The non-linear fitting for data of over 1000 independent experiments to the equation above always revealed correlation coefficients greater than 0.97. The calculation of the steady state parameter from the transient phase data makes the analysis fast and precise, especially for sensors with thick membranes, being convenient to use in the case of enzyme electrodes. The theoretical essence of the parameter C also gives valuable information for the optimal design of biosensors.
|
| pubmed:language |
eng
|
| pubmed:journal | |
| pubmed:citationSubset |
IM
|
| pubmed:chemical | |
| pubmed:status |
MEDLINE
|
| pubmed:month |
Oct
|
| pubmed:issn |
0956-5663
|
| pubmed:author | |
| pubmed:issnType |
Print
|
| pubmed:day |
1
|
| pubmed:volume |
13
|
| pubmed:owner |
NLM
|
| pubmed:authorsComplete |
Y
|
| pubmed:pagination |
801-7
|
| pubmed:dateRevised |
2009-7-14
|
| pubmed:meshHeading | |
| pubmed:year |
1998
|
| pubmed:articleTitle |
Calibration of glucose biosensors by using pre-steady state kinetic data.
|
| pubmed:affiliation |
Institute of Physical Chemistry, University of Tartu, Estonia.
|
| pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
|