Murti Bayu Tri, Putri Athika Darumas, Huang Yi-June, Wei Shih-Min, Peng Chih-Wei, Yang Po-Kang
Graduate Institute of Biomedical Materials and Tissue Engineering, College of Biomedical Engineering, Taipei Medical University Taipei Taiwan.
Semarang College of Pharmaceutical Sciences (STIFAR) Semarang City Indonesia.
RSC Adv. 2021 Jun 8;11(33):20403-20422. doi: 10.1039/d1ra01553b. eCollection 2021 Jun 3.
The development of minimally invasive and easy-to-use sensor devices is of current interest for ultrasensitive detection and signal recognition of Alzheimer's disease (AD) biomarkers. Over the years, tremendous effort has been made on diagnostic platforms specifically targeting neurological markers for AD in order to replace the conventional, laborious, and invasive sampling-based approaches. However, the sophistication of analytical outcomes, marker inaccessibility, and material validity strongly limit the current strategies towards effectively predicting AD. Recently, with the promising progress in biosensor technology, the realization of a clinically applicable sensing platform has become a potential option to enable early diagnosis of AD and other neurodegenerative diseases. In this review, various types of biosensors, which include electrochemical, fluorescent, plasmonic, photoelectrochemical, and field-effect transistor (FET)-based sensor configurations, with better clinical applicability and analytical performance towards AD are highlighted. Moreover, the feasibility of these sensors to achieve point-of-care (POC) diagnosis is also discussed. Furthermore, by grafting nanoscale materials into biosensor architecture, the remarkable enhancement in durability, functionality, and analytical outcome of sensor devices is presented. Finally, future perspectives on further translational and commercialization pathways of clinically driven biosensor devices for AD are discussed and summarized.
开发微创且易于使用的传感器设备是当前阿尔茨海默病(AD)生物标志物超灵敏检测和信号识别的研究热点。多年来,人们在专门针对AD神经学标志物的诊断平台上付出了巨大努力,以取代传统的、费力的、基于侵入性采样的方法。然而,分析结果的复杂性、标志物难以获取以及材料有效性严重限制了当前有效预测AD的策略。最近,随着生物传感器技术取得的令人鼓舞的进展,实现临床适用的传感平台已成为早期诊断AD和其他神经退行性疾病的一个潜在选择。在这篇综述中,重点介绍了各类生物传感器,包括基于电化学、荧光、等离子体、光电化学和场效应晶体管(FET)的传感器配置,它们对AD具有更好的临床适用性和分析性能。此外,还讨论了这些传感器实现即时检测(POC)诊断的可行性。此外,通过将纳米材料嫁接到生物传感器架构中,展示了传感器设备在耐久性、功能性和分析结果方面的显著提升。最后,对临床驱动的AD生物传感器设备进一步转化和商业化途径的未来前景进行了讨论和总结。