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石墨相氮化碳和 IGZO 生物 FET 用于快速诊断心肌梗死。

Graphitic Carbon Nitride and IGZO Bio-FET for Rapid Diagnosis of Myocardial Infarction.

机构信息

Sensors Lab, Advanced Membranes and Porous Materials Center, Computer, Electrical and Mathematical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia.

Sensor Systems Division, Silicon Austria Labs (SAL), High Tech Campus, 9524 Villach, Austria.

出版信息

Biosensors (Basel). 2022 Oct 7;12(10):836. doi: 10.3390/bios12100836.

Abstract

Acute myocardial infarction (AMI), commonly known as a heart attack, is a life-threatening condition that causes millions of deaths every year. In this study, a transistor-based biosensor is developed for rapid and sensitive detection of cardiac troponin-I (cTnI), a diagnostic biomarker of AMI. A biosensing technique based on a field effect transistor (FET), which uses indium gallium zinc oxide (IGZO) as an excellent semiconducting channel, is integrated with nanosheet materials to detect cTnI. Porous carbon nitride (PCN) decorated with gold nanoparticles (Au NPs) is used as a bridge between the solid-state device and the biorecognition element. We demonstrate that this biosensor is highly sensitive and has an experimental limit of detection of 0.0066 ng/mL and a dynamic range of 0.01 ng/mL-1000 ng/mL. This is the first report of a semiconducting metal oxide FET cardiac biomarker sensor combined with PCN for the detection of cTnI. The reported compact microsystem paves the way for rapid and inexpensive detection of cardiac biomarkers.

摘要

急性心肌梗死(AMI),俗称心脏病发作,是一种危及生命的疾病,每年导致数百万人死亡。在这项研究中,开发了一种基于晶体管的生物传感器,用于快速和灵敏地检测心肌肌钙蛋白 I(cTnI),这是 AMI 的一种诊断生物标志物。一种基于场效应晶体管(FET)的生物传感技术,使用铟镓锌氧化物(IGZO)作为优异的半导体沟道,与纳米片材料集成以检测 cTnI。多孔氮化碳(PCN)用金纳米颗粒(Au NPs)修饰,用作固态器件和生物识别元件之间的桥梁。我们证明,这种生物传感器具有很高的灵敏度,实验检测限为 0.0066ng/mL,动态范围为 0.01ng/mL-1000ng/mL。这是首次报道将半导体金属氧化物 FET 心脏生物标志物传感器与 PCN 结合用于检测 cTnI。所报道的紧凑微系统为快速和廉价地检测心脏生物标志物铺平了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ed8/9599297/a24b0da536bc/biosensors-12-00836-g001.jpg

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