Dataset On Optimization And Development Of A Point-Of-Care Glucometer-Based Sars-Cov-2 Detection Assay Using Aptamers

We present supplementary data for the published article, "Hitting the diagnostic sweet spot: Point-of-care SARS-CoV2 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. (C) 2021 The Author(s). Published by Elsevier Inc.