非阻塞I/O
电化学
BETA(编程语言)
化学
β淀粉样蛋白
材料科学
色谱法
纳米技术
计算机科学
生物化学
电极
物理化学
催化作用
程序设计语言
肽
作者
Jatinder Pal Singh,Neha Batra Bali,Arijit Chowdhuri,Aruna Naorem,Mallika Verma,Monika Tomar,Namrata Singh,Bilasini Devi Naorem
标识
DOI:10.1149/1945-7111/addaea
摘要
Alzheimer’s disease (AD) is a degenerative neurological disorder that poses a significant global health challenge, impacting millions of individuals worldwide. While at the present moment, no treatment exists for AD, early diagnosis and prevention are the only ways to tackle the disease. Amyloid beta 42 (A β 42) has emerged as one of the potential biomarkers for early diagnosis of AD and there is a need to develop biosensors that can accurately measure A β 42 levels. This work introduces an immunosensor based on an RF-sputtered NiO thin film, developed for A β 42 quantification. The sensor demonstrates good performance, delivering a stable response across a wide A β 42 concentration range, from 100 fg ml −1 to 10 ng ml −1 , with an impressive limit of detection (LOD) of 1.23 × 10 –5 pg ml −1 . The sensor also exhibited excellent selectivity and stability towards A β 42 with a shelf life of the bioelectrode tested over 8 weeks. The prepared A β Ab/NiO/ITO bioelectrode has potential for the development of an immunosensor for point-of-care application for AD detection.
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