Negahdary Masoud, Sakthinathan Indherjith, Mirsadoughi Ensiyeh, Ligler Frances S, Coté Gerard L, Forster Robert J, Mabbott Samuel
Department of Biomedical Engineering, Texas A&M University, 101 Bizzel Street, College Station, TX, 77843, USA; Center for Remote Health Technologies & Systems, Texas A&M Engineering Experiment Station, 600 Discovery Drive, College Station, TX, 77840-3006, USA.
School of Chemical Sciences, Dublin City University, Glasnevin Campus, Dublin 9, Ireland.
Biosens Bioelectron. 2025 Sep 15;284:117535. doi: 10.1016/j.bios.2025.117535. Epub 2025 May 2.
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.
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、快速且廉价的诊断途径。在本综述中，对用于诊断这些疾病的最新电化学和光学传感及生物传感平台进行了严格筛选和综述。讨论了与每种疾病相关的诊断靶点（通常为生物标志物）以及用于优化检测过程和增强信号的新技术，如纳米材料和生物分子技术。特别考虑了通过（生物）传感平台进行多重检测和多种分析物检测，以提高临床灵敏度和选择性。本综述旨在通过确定那些优化实际性能并最小化当前缺点的策略，在该领域开辟新方法并推动未来研究。
