Advances in biosensors for diagnosis of Alzheimer's and Parkinson's diseases

IF 10.7 1区生物学 Q1 BIOPHYSICS

Biosensors and Bioelectronics Pub Date : 2025-05-02 DOI:10.1016/j.bios.2025.117535

Masoud Negahdary , Indherjith Sakthinathan , Ensiyeh Mirsadoughi , Frances S. Ligler , Gerard L. Coté , Robert J. Forster , Samuel Mabbott

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引用次数: 0

Abstract

Early diagnosis by detecting ultralow concentrations of disease biomarkers is critical for timely treatment of the two most common neurodegenerative diseases, Alzheimer's and Parkinson's diseases. Innovative biosensors technologies can provide accurate, faster, and cheaper diagnostic pathways. In this review, the most recent electrochemical and optical sensing and biosensing platforms for diagnosing these diseases are critically selected and reviewed. Diagnostic targets (generally biomarkers) related to each disease and novel technologies, such as nanomaterials and biomolecular techniques to optimize the detection process and enhance signals, are discussed. In particular, multiplex detection and detection of multiple analytes by a (bio) sensing platform, to improve clinical sensitivity and selectivity are considered. This review is intended to open new approaches in the field and advance future research by identifying those strategies that optimize real-world performance and minimize present shortcomings.

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阿尔茨海默病和帕金森病的生物传感器诊断研究进展

通过检测超低浓度的疾病生物标志物进行早期诊断，对于及时治疗两种最常见的神经退行性疾病——阿尔茨海默病和帕金森病至关重要。创新的生物传感器技术可以提供准确、更快、更便宜的诊断途径。本文综述了最新的电化学、光学传感和生物传感诊断这些疾病的平台。讨论了与每种疾病相关的诊断靶点（一般是生物标志物）和新技术，如纳米材料和生物分子技术，以优化检测过程和增强信号。特别是考虑了多重检测和通过（生物）传感平台检测多种分析物，以提高临床敏感性和选择性。本综述旨在通过确定优化现实世界性能和减少现有缺点的策略，在该领域开辟新的方法，并推进未来的研究。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Biosensors and Bioelectronics 工程技术-电化学

CiteScore

20.80

自引率

7.10%

发文量

1006

审稿时长

29 days

期刊介绍： Biosensors & Bioelectronics, along with its open access companion journal Biosensors & Bioelectronics: X, is the leading international publication in the field of biosensors and bioelectronics. It covers research, design, development, and application of biosensors, which are analytical devices incorporating biological materials with physicochemical transducers. These devices, including sensors, DNA chips, electronic noses, and lab-on-a-chip, produce digital signals proportional to specific analytes. Examples include immunosensors and enzyme-based biosensors, applied in various fields such as medicine, environmental monitoring, and food industry. The journal also focuses on molecular and supramolecular structures for enhancing device performance.