2004
DOI: 10.1016/j.talanta.2004.03.033
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Creatinine biosensor based on ammonium ion selective electrode and its application in flow-injection analysis

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Cited by 66 publications
(28 citation statements)
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“…Most popular potentiometric detectors in FIA systems are electrodes selective towards ammonium ions (based on nonactin as an ionophore), used for determination of clinically important analytes, such as urea or creatinine [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21]. However, electrodes selective towards other ions can also be employed as detectors in enzymatic analytical systems.…”
mentioning
confidence: 99%
“…Most popular potentiometric detectors in FIA systems are electrodes selective towards ammonium ions (based on nonactin as an ionophore), used for determination of clinically important analytes, such as urea or creatinine [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21]. However, electrodes selective towards other ions can also be employed as detectors in enzymatic analytical systems.…”
mentioning
confidence: 99%
“…The same ion selective electrode was also used for creatinine determination based on creatinine deiminase as biocatalytic recognition element [188]. Field-effect transistors (FET) such as Ion selective FETs (ISFETs) and LAPS (light addressable potentiometric sensor) have also been used for potentiometric biosensors.…”
Section: Potentiometric Biosensorsmentioning
confidence: 99%
“…Super-Nernstian response sensitivity was attributed to an additional potential response of inactive polypyrrole to ammonia or an ammonium ion superimposed on the response to pH change. In another work, ammonium-ISE with chemically immobilized creatinine deiminase on the surface of the carboxylated PVC membrane was used in FIA determinations of creatinine in urine, serum and posthemodialysate samples [68]. To improve selectivity of such determinations, a cation-exchange column can be employed to separate endogeneous ammonia and alkaline cations [69].…”
Section: Potentiometric Detection In Flow Analysismentioning
confidence: 99%