Title of article
Conductometric enzyme biosensors based on natural zeolite clinoptilolite for urea determination
Author/Authors
Saiapina، نويسنده , , O.Y. and Pyeshkova، نويسنده , , V.M. and Soldatkin، نويسنده , , O.O. and Melnik، نويسنده , , V.G. and Kurç، نويسنده , , B. Akata and Walcarius، نويسنده , , A. and Dzyadevych، نويسنده , , S.V. and Jaffrezic-Renault، نويسنده , , N.، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2011
Pages
8
From page
1490
To page
1497
Abstract
Highly sensitive conductometric urea biosensors were developed by exploiting the successful combination of ammonium-sieving and ion exchange properties of clinoptilolite, with a unique biorecognition capacity of urease. To optimize the performance of urea biosensors based on clinoptilolite, the dependences of their analytical signals on pH, buffer capacity and ionic strength of phosphate buffer solution (PBS) were studied. Optimum pH for urea biosensors was found within the range of pH 6.0–7.0. The dependences of biosensors responses on buffer capacity and ionic strength of PBS were of the same profile as those obtained for the urea biosensor which was not modified with clinoptilolite.
ical characteristics of urea biosensors based on clinoptilolite were evaluated by determination of the sensitivity, linear and dynamic ranges, detection limit, the apparent Michaelis–Menten constant and the response time. The optimum features in terms of sensitivity, dynamic range, and detection limit (20.36 μS/mM, 0–64 mM, and 10−6 M, respectively) were found for the urea biosensor, based on a primary layer of clinoptilolite followed by a secondary layer of urease and clinoptilolite in a single bioselective membrane. The apparent Michaelis–Menten constants Km for the developed urea biosensors based on clinoptilolite varied from 2.73 to 5.67 mM. These values differed significantly from the value of Km for the urea biosensor which was not modified with zeolite (1.89 mM). All types of zeolite-modified biosensors showed high operational and storage stability.
Keywords
Urea detection , Clinoptilolite , Conductometric biosensors , Urease
Journal title
Materials Science and Engineering C
Serial Year
2011
Journal title
Materials Science and Engineering C
Record number
2101477
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