Simultaneously ultrasensitive and quantitative detection of influenza A virus, SARS-CoV-2, and respiratory syncytial virus via multichannel magnetic SERS-based lateral flow immunoassay
Zhenzhen Liu MSc, Chongwen Wang PhD, Shuai Zheng PhD, Xingsheng Yang PhD, Han Han MSc, Yuwei Dai MSc, Rui Xiao PhD
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引用次数: 12
Abstract
Respiratory viruses usually induced similar clinical symptoms at early infection. Herein, we presented a multichannel surface-enhanced Raman scattering-based lateral flow immunoassay (SERS-based LFA) using high-performance magnetic SERS tags for the simultaneous ultrasensitive detection of respiratory viruses, namely influenza A virus (H1N1), severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and respiratory syncytial virus (RSV) in biological samples. As-prepared magnetic SERS tags can directly enrich and capture target viruses without pretreatment of samples, avoiding the interference of impurities in the samples as well as improving the sensitivity. With the capture-detection method, the detection limits of the proposed assay reached 85 copies mL−1, 8 pg mL−1, and 8 pg mL−1 for H1N1, SARS-CoV-2 and RSV, respectively. Moreover, the detection properties of the proposed method for target viruses in throat swab samples were verified, suggesting its remarkable potential for the early and rapid differential diagnosis of respiratory viruses.
呼吸道病毒在感染早期通常会引起类似的临床症状。在此,我们提出了一种基于多通道表面增强拉曼散射的侧流免疫分析(SERS-based LFA)方法,该方法使用高性能磁性SERS标签同时超灵敏检测生物样本中的呼吸道病毒,即甲型流感病毒(H1N1)、严重急性呼吸综合征冠状病毒2 (SARS-CoV-2)和呼吸道合胞病毒(RSV)。制备的磁性SERS标签可以直接富集和捕获目标病毒,无需对样品进行预处理,避免了样品中杂质的干扰,提高了灵敏度。采用捕获检测方法,对H1N1、SARS-CoV-2和RSV病毒的检出限分别为85 copies mL - 1、8 pg mL - 1和8 pg mL - 1。此外,验证了该方法对咽拭子样本中目标病毒的检测特性,提示其在呼吸道病毒的早期和快速鉴别诊断方面具有显著的潜力。
期刊介绍:
Nanomedicine: Nanotechnology, Biology and Medicine (NBM) is an international, peer-reviewed journal presenting novel, significant, and interdisciplinary theoretical and experimental results related to nanoscience and nanotechnology in the life and health sciences. Content includes basic, translational, and clinical research addressing diagnosis, treatment, monitoring, prediction, and prevention of diseases.