BETA(编程语言)
量子点
阿尔茨海默病
淀粉样蛋白(真菌学)
等离子体
疾病
β淀粉样蛋白
纳米技术
碲化镉光电
医学
化学
材料科学
病理
计算机科学
物理
量子力学
程序设计语言
作者
Ebrar Balci,Elif Nur Yildiz,Sevval Sueda Oksuz,Nihat Ahmadli,Miray Kargidan,Nilay Ayyildiz,Eda Alemdar,İrem Fatma Uludağ,Uğur Hasırcı
标识
DOI:10.1101/2024.07.10.602686
摘要
ABSTRACT Alzheimer’s Disease (AD), characterized by a gradual onset and a lack of exact therapeutic interventions, underscores the imperative for the development of uncomplicated and cost-effective biosensors capable of detecting its biomarkers. This necessity arises in anticipation of a projected surge in the incidence of AD. Quantum dots (QDs) represent the promising new generation of luminophores owing to their size, composition, and surface-dependent tunable photoluminescence (PL) and photochemical stability. In this study, a paper-based QD aptasensor for the early detection of AD by targeting amyloid beta (A β -42) and p-tau181 proteins using Förster Resonance Energy Transfer (FRET) is developed. The sensor employs a Whatman paper with six sensing wells, integrating hydrophobic and hydrophilic regions, hydrophobic parts created through wax. Blood samples are placed in the inlet, dispersing into six sensing wells containing QD-aptamer-AuNP complexes. Target proteins induce conformational changes in aptamers, leading to fluorescence quenching in CdTe QDs. Two wells target p-tau181, two target amyloid beta-42, and two serve as references. Fluorescence emission spectra from each well are recorded, showing a linear correlation between fluorescence quenching and protein concentration. Values from each pair of wells are then averaged, and the average values from the pairs targeting (A β -42) and p-tau181 are compared to the average value of the reference wells. This paper-based aptasensor holds promise for early diagnosis of Alzheimer’s Disease and opens the avenue of personalized medicine for the diagnosis of Alzheimer’s.
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