Carbon nanotube based potentiometric aptasensors for protein detection

Rapid diagnosis of most illnesses has a vital importance for providing the appropriate cure and hence controlling public health concerns. Fast and accurate detection of large biomolecules, specifically proteins, is one of the major steps regarding the subject. Over recent years, several detection me...

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Detalles Bibliográficos
Autor: Düzgün, Ali
Tipo de recurso: tesis doctoral
Estado:Versión publicada
Fecha de publicación:2013
País:España
Institución:Universitat Rovira i virgili (URV)
Repositorio:Repositori Institucional de la Universitat Rovira i Virgili
OAI Identifier:oai:urv.cat:TDX:1192
Acceso en línea:https://hdl.handle.net/20.500.11797/TDX1192
http://hdl.handle.net/10803/111166
Access Level:acceso abierto
Palabra clave:577 - Bioquímica. Biologia molecular. Biofísica
543 - Química analítica
542 - Química pràctica de laboratori. Química preparativa i experimental
517 - Anàlisi
Descripción
Sumario:Rapid diagnosis of most illnesses has a vital importance for providing the appropriate cure and hence controlling public health concerns. Fast and accurate detection of large biomolecules, specifically proteins, is one of the major steps regarding the subject. Over recent years, several detection methodologies have been developed. However, almost all of the developed methods either required very complex techniques to be applied, or a long time to obtain the results. The most commonly used techniques were specific label requiring immunoassays. They generally require highly trained staff and complex equipment which results in an expensive and relatively slow methodology. With the present thesis we report a new type of label-free potentiometric solid state carbon nanotube based aptasensors that can detect large analytes, as case example proteins, in a rapid (almost instantaneous), selective and sensitive way, for the first time. The developed sensors successfully responded to analyte protein (human α-thrombin) within physiological human serum levels.