肉眼
RGB颜色模型
计算机科学
严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)
DNA
计算生物学
检出限
2019年冠状病毒病(COVID-19)
生物
化学
人工智能
医学
生物化学
色谱法
传染病(医学专业)
疾病
病理
作者
Liting Zhao,Chun Mei Li,Xinhuang Kang,Yuan Fang Li
标识
DOI:10.1016/j.snb.2022.133252
摘要
SARS-CoV-2, a highly transmissible and mutagenic virus, made huge threats to global public health. The detection strategies, which are free from testing site requirements, and the reagents and instruments are portable, are vital for early screening and play a significant role in curbing the spread. This work proposed a silver-coated glass slide (SCGS)/DNA walker based on a dual targets-triggering mechanism, enzyme-catalyzed amplification, and smartphone data analysis, which build a portable visual detection strategy for the SARS-CoV-2 RNA-dependent RNA polymerase (RdRp) gene. By this method, the detection was reflected by the ultraviolet absorbance changes and visible color changes to the naked eye which was analyzed by Red-Green-Blue (RGB) data analysis via smartphone within 30 min, simplifying the detection process and shortening the detection time. Meanwhile, the dual targets-triggering mechanism and dual signal amplification strategy ensured detection specificity and sensitivity. Further, the practicability was verified by the detection of the real sample which provided this method an application potential in SARS-CoV-2 rapid detection.
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