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Graphene-based field effect transistor: differentiation between mildmoderate-severe myocardial injury

Abstract

Cardiovascular diseases result in millions of deaths around the globe, many of which could have been avoided if identified at an early stage. Preventive cardiovascular disease diagnostics plays a vital role reducing the critical fatality rate by allowing to take timely necessary precautions. In this talk I want to outline the different approaches taken over the years to obtain sensitive point-of-care sensing devices. I will focus on some of our recent works on cardiac troponin I (cTnI) aptamer modified graphene-based FETs (GFETs) for cTnI sensing. The importance of adapted surface chemistry approaches to anchor the aptamer on the GFET will be discussed in details The sensor performances within the clinical important window of 10 to 500 pg mL-1, allowing the differentiation between healthy, and people with low and high risk for myocardial infraction (AMI) will be presented.
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Dates and versions

hal-03692938 , version 1 (09-08-2022)

Identifiers

  • HAL Id : hal-03692938 , version 1

Cite

Sabine Szunerits. Graphene-based field effect transistor: differentiation between mildmoderate-severe myocardial injury. ChemOnTubes 2022 ; 8th International Meeting on Chemistry of Carbon Nanomaterials, Apr 2022, San Sebastián, Spain. ⟨hal-03692938⟩
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