Heterogeneous Electrochemical Aptamer-Based Sensor Surfaces for Controlled Sensor Response

Structure-switching sensors utilize recognition elements that undergo a conformation change upon target binding that is converted into a quantitative signal. Electrochemical, aptamer-based sensors achieve detection of analytes through a conformation change in an electrode-bound, oligonucleotide apta...

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Publié dans:Langmuir : the ACS journal of surfaces and colloids. - 1985. - 31(2015), 23 vom: 16. Juni, Seite 6563-9
Auteur principal: Schoukroun-Barnes, Lauren R (Auteur)
Autres auteurs: Glaser, Ethan P, White, Ryan J
Format: Article en ligne
Langue:English
Publié: 2015
Accès à la collection:Langmuir : the ACS journal of surfaces and colloids
Sujets:Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Aptamers, Nucleotide Adenosine Triphosphate 8L70Q75FXE Tobramycin VZ8RRZ51VK
Description
Résumé:Structure-switching sensors utilize recognition elements that undergo a conformation change upon target binding that is converted into a quantitative signal. Electrochemical, aptamer-based sensors achieve detection of analytes through a conformation change in an electrode-bound, oligonucleotide aptamer by measuring changes in electron transfer efficiencies. The analytical performance of these sensors is related to the magnitude of the conformation change of the aptamer. The goal of the present work is to develop a general method to predictably tune the analytical performance (sensitivity and linear range) of electrochemical, aptamer-based sensors by utilizing a mixture of rationally designed aptamer sequences that are specific for the same target but with different affinities on the same electrode surface. To demonstrate control over sensor performance, we developed heterogeneous sensors for two representative small molecule targets (adenosine triphosphate and tobramycin). We demonstrate that mixtures of modified sequences can be used to tune the affinity, dynamic range, and sensitivity of the resulting sensors predicted by a bi-Langmuir-type isotherm
Description:Date Completed 14.03.2016
Date Revised 13.11.2018
published: Print-Electronic
Citation Status MEDLINE
ISSN:1520-5827
DOI:10.1021/acs.langmuir.5b01418