Alkaline phosphatase enzymatic signal amplification for fast, sensitive impedimetric DNA detectionThis article is part of a web theme in Analyst and Analytical Methods on Future Electroanalytical Developments, highlighting important developments and novel applications. Also in this theme is work presented at the Eirelec 2011 meeting, dedicated to Professor Malcolm Smyth on the occasion of his 60th birthday.The School of Chemistry is part of the EaStCHEM joint Chemistry Research School; we acknow
Enzymatic signal amplification by the deposition of insoluble product on the electrode surface enhances impedimetric DNA detection sensitivity. This work demonstrates a method which gives the required detection sensitivity at significantly reduced enzyme reaction times, and demonstrates the capabili...
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Main Authors | , , , , , |
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Format | Journal Article |
Language | English |
Published |
28.11.2011
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Online Access | Get full text |
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Summary: | Enzymatic signal amplification by the deposition of insoluble product on the electrode surface enhances impedimetric DNA detection sensitivity. This work demonstrates a method which gives the required detection sensitivity at significantly reduced enzyme reaction times, and demonstrates the capability for DNA SNP discrimination of biologically relevant sequences. This opens up the prospect of more rapid and relevant multiparameter impedimetric bioassays.
This work presents a method for and a model which explains enhanced DNA detection using an alkaline phosphatase amplification reaction and electrochemical impedance spectroscopy. |
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Bibliography: | Analyst This article is part of a web theme in and on Future Electroanalytical Developments, highlighting important developments and novel applications. Also in this theme is work presented at the Eirelec 2011 meeting, dedicated to Professor Malcolm Smyth on the occasion of his 60th birthday. The School of Chemistry is part of the EaStCHEM joint Chemistry Research School; we acknowledge the financial support of the Scottish Funding Council. Analytical Methods |
ISSN: | 0003-2654 1364-5528 |
DOI: | 10.1039/c1an15767a |