Joshi Anju, Vishnu G K Anil, Sakorikar Tushar, Kamal Arif M, Vaidya Jayant S, Pandya Hardik J
Department of Electronic Systems Engineering, Division of EECS, Indian Institute of Science Bangalore India
Centre for BioSystems Science and Engineering, Indian Institute of Science Bangalore India.
Nanoscale Adv. 2021 Aug 12;3(19):5542-5564. doi: 10.1039/d1na00453k. eCollection 2021 Sep 28.
Timely and accurate diagnosis of breast cancer is essential for efficient treatment and the best possible survival rates. Biosensors have emerged as a smart diagnostic platform for the detection of biomarkers specific to the onset, recurrence, and therapeutic drug monitoring of breast cancer. There have been exciting recent developments, including significant improvements in the validation, sensitivity, specificity, and integration of sample processing steps to develop point-of-care (POC) integrated micro-total analysis systems for clinical settings. The present review highlights various biosensing modalities (electrical, optical, piezoelectric, mass, and acoustic sensing). It provides deep insights into their design principles, signal amplification strategies, and comparative performance analysis. Finally, this review emphasizes the status of existing integrated micro-total analysis systems (μ-TAS) for personalized breast cancer therapeutics and associated challenges and outlines the approach required to realize their successful translation into clinical settings.
乳腺癌的及时准确诊断对于有效治疗和尽可能高的生存率至关重要。生物传感器已成为一种智能诊断平台,用于检测乳腺癌发病、复发和治疗药物监测所特有的生物标志物。最近有一些令人兴奋的进展,包括在验证、灵敏度、特异性以及样品处理步骤的整合方面取得了重大改进,以开发用于临床环境的即时检测(POC)集成微全分析系统。本综述重点介绍了各种生物传感方式(电学、光学、压电、质量和声学传感)。它深入探讨了它们的设计原理、信号放大策略和比较性能分析。最后,本综述强调了用于个性化乳腺癌治疗的现有集成微全分析系统(μ-TAS)的现状以及相关挑战,并概述了将其成功转化为临床应用所需的方法。