Ganesh Swarna, Dhinakaran Ashok Kumar, Premnath Priyatha, Venkatakrishnan Krishnan, Tan Bo
Keenan Research Center for Biomedical Science, Unity Health Toronto, Toronto, ON M5B 1W8, Canada.
Institute for Biomedical Engineering, Science and Technology (I BEST), Partnership between Toronto Metropolitan University and St. Michael's Hospital, Toronto, ON M5B 1W8, Canada.
Bioengineering (Basel). 2023 Mar 22;10(3):391. doi: 10.3390/bioengineering10030391.
The recent COVID-19 pandemic has highlighted the inadequacies of existing diagnostic techniques and the need for rapid and accurate diagnostic systems. Although molecular tests such as RT-PCR are the gold standard, they cannot be employed as point-of-care testing systems. Hence, a rapid, noninvasive diagnostic technique such as Surface-enhanced Raman scattering (SERS) is a promising analytical technique for rapid molecular or viral diagnosis. Here, we have designed a SERS- based test to rapidly diagnose SARS-CoV-2 from saliva. Physical methods synthesized the nanostructured sensor. It significantly increased the detection specificity and sensitivity by ten copies/mL of viral RNA (femtomolar concentration of nucleic acids). Our technique combines the multiplexing capability of SERS with the sensitivity of novel nanostructures to detect whole virus particles and infection-associated antibodies. We have demonstrated the feasibility of the test with saliva samples from individuals who tested positive for SARS-CoV-2 with a specificity of 95%. The SERS-based test provides a promising breakthrough in detecting potential mutations that may come up with time while also preparing the world to deal with other pandemics in the future with rapid response and very accurate results.
近期的新冠疫情凸显了现有诊断技术的不足以及对快速准确诊断系统的需求。尽管诸如逆转录聚合酶链反应(RT-PCR)等分子检测是金标准,但它们不能用作即时检测系统。因此,像表面增强拉曼散射(SERS)这样的快速、非侵入性诊断技术是用于快速分子或病毒诊断的一种很有前景的分析技术。在此,我们设计了一种基于SERS的检测方法,用于从唾液中快速诊断新冠病毒。通过物理方法合成了纳米结构传感器。它将检测特异性和灵敏度显著提高到病毒RNA每毫升约十个拷贝(核酸浓度约为飞摩尔)。我们的技术将SERS的多重检测能力与新型纳米结构的灵敏度相结合,以检测完整病毒颗粒和感染相关抗体。我们已经用新冠病毒检测呈阳性个体的唾液样本证明了该检测方法的可行性,其特异性为95%。基于SERS的检测方法在检测可能随时间出现的潜在突变方面提供了一个很有前景的突破,同时也让世界为未来应对其他疫情做好准备,能够实现快速响应并得到非常准确的结果。