Dataset on optimization and development of a point-of-care glucometer-based SARS-CoV-2 detection assay using aptamers

使用适体优化和开发基于即时血糖仪的 SARS-CoV-2 检测试剂盒的数据集

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作者:Naveen K Singh, Partha Ray, Aaron F Carlin, Sydney C Morgan, Celestine Magallanes, Louise C Laurent, Eliah S Aronoff-Spencer, Drew A Hall

Abstract

We present supplementary data for the published article, "Hitting the diagnostic sweet spot: Point-of-care SARS-CoV-2 salivary antigen testing with an off-the-shelf glucometer" [1]. The assay described is designed to be performed at home or in a clinic without expensive instrumentation or professional training. SARS-CoV-2 is detected by an aptamer-based assay that targets the Nucleocapsid (N) or Spike (S) antigens. Binding of the N or S protein to their respective aptamer results in the competitive release of a complementary antisense-invertase enzyme complex. The released enzyme then catalyzes the conversion of sucrose to glucose that is measured by an off-the-shelf glucometer. The data presented here describe the optimization of the assay parameters and their contribution to developing this aptamer-based assay to detect SARS-CoV-2. The assay performance was checked in a standard buffer, contrived samples, and patient samples validated with well-established scientific methods. The resulting dataset can be used to further develop glucometer-based assays for diagnosing other communicable and non-communicable diseases.

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