病毒感染可引起严重疾病,对公众健康构成重大威胁,导致大流行,负担医疗系统。这种感染的全球传播导致生活的方方面面,包括商业,教育,和社交生活。快速准确地诊断病毒感染对挽救生命具有重要意义。防止疾病的传播,尽量减少社会和经济损失。基于聚合酶链反应(PCR)的技术通常用于在临床中检测病毒。然而,PCR有几个缺点,正如在最近的COVID-19大流行期间所强调的那样,如长的处理时间和复杂的实验室仪器的要求。因此,迫切需要快速准确的病毒检测技术。为此,各种生物传感器系统正在开发中,以提供快速,敏感,和高通量病毒诊断平台,能够快速诊断和有效控制病毒的传播。光学设备,特别是,是非常感兴趣的,由于它们的优点,如高灵敏度和直接读出。当前的评论讨论了用于病毒检测的固相光学传感技术,包括基于荧光的传感器,表面等离子体共振(SPR),表面增强拉曼散射(SERS),光学谐振器,和基于干涉测量的平台。然后,我们专注于我们团队开发的干涉生物传感器,单粒子干涉反射成像传感器(SP-IRIS),它有能力可视化单个纳米粒子,演示其在数字病毒检测中的应用。
Viral infections can pose a major threat to public health by causing serious illness, leading to pandemics, and burdening healthcare systems. The global spread of such infections causes disruptions to every aspect of life including business, education, and social life. Fast and accurate diagnosis of viral infections has significant implications for saving lives, preventing the spread of the diseases, and minimizing social and economic damages. Polymerase chain reaction (PCR)-based techniques are commonly used to detect viruses in the clinic. However, PCR has several drawbacks, as highlighted during the recent COVID-19 pandemic, such as long processing times and the requirement for sophisticated laboratory instruments. Therefore, there is an urgent need for fast and accurate techniques for virus detection. For this purpose, a variety of biosensor systems are being developed to provide rapid, sensitive, and high-throughput viral diagnostic platforms, enabling quick diagnosis and efficient control of the virus\'s spread. Optical devices, in particular, are of great interest due to their advantages such as high sensitivity and direct readout. The current review discusses solid-phase optical sensing techniques for virus detection, including fluorescence-based sensors, surface plasmon resonance (SPR), surface-enhanced Raman scattering (SERS), optical resonators, and interferometry-based platforms. Then, we focus on an interferometric biosensor developed by our group, the single-particle interferometric reflectance imaging sensor (SP-IRIS), which has the capability to visualize single nanoparticles, to demonstrate its application for digital virus detection.