Electrochemical aptamer-based nanobiosensors for diagnosing Alzheimer's disease: A review

适体 纳米材料 纳米技术 膨胀的 生物传感器 计算生物学 材料科学 计算机科学 生物 分子生物学 抗压强度 复合材料
作者
Masoud Negahdary,Lúcio Angnes
出处
期刊:Biomaterials advances [Elsevier BV]
卷期号:135: 112689-112689 被引量:41
标识
DOI:10.1016/j.msec.2022.112689
摘要

Diagnosis and prognosis of Alzheimer's disease by electrochemical nanoaptasensors have recently received abundant attention. In this review, all recent nanomaterial-based electrochemical aptasensors developed to diagnose or prognosis Alzheimer's disease have been collected, categorized, and reviewed. Analytes in these aptasensors were specific biomarkers, including amyloid-β (Aβ) and tau protein, as well as other nonspecific markers (microRNAs (miRNAs), dopamine, thrombin, adenosine triphosphate (ATP), interleukin-6, α-1 antitrypsin, α-synuclein, target DNA (tDNA), and glycated albumin). The synthesis methods of the applied nanomaterials, characterization, and applications have also been considered here. Gold nanostructures were the most nanomaterials applied in the structure of considered aptasensors. The use of the most optimal nanomaterials in the structure of these diagnostic tools has been dependent on various parameters, the most important of which are the type of signal transducer and the functional group related to the biorecognition element. In general, the choice of nanomaterials in these biosensors depends on interactions between nanomaterials and other molecules or environments. Indeed, with the assistance of nanomaterials, more expansive active surfaces have been created in the interactions of aptasensors components that have played a very positive and efficient role in amplifying the output signals and increasing the analytical/diagnostic sensitivity. The diagnostic mechanisms and the interaction between the various components of aptasensors and the nanomaterials' position were also considered. The main achievements were classification, analysis, and scheming of the elements and techniques used, the possibility of comparing detection range, and the limit of detection (LOD).
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