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Laboratory-Developed Test for SARS-CoV-2 Using Saliva Samples at the University of California, Riverside
Rong Hai; Matthew Collin; Sophia Tsau; Daniel Raygoza; Juliet Morrison; Alexander J. Carrillo; Logan A Collier; Walter Bayubay; Kenneth Han; Isgouhi Kaloshian; Katherine A Borkovich.
Affiliation
  • Rong Hai; University of California, Riverside
  • Matthew Collin; University of California, Riverside
  • Sophia Tsau; University of California, Riverside
  • Daniel Raygoza; University of California, Riverside
  • Juliet Morrison; University of California, Riverside
  • Alexander J. Carrillo; University of California, Riverside
  • Logan A Collier; University of California, Riverside
  • Walter Bayubay; University of California, Riverside
  • Kenneth Han; University of California, Riverside
  • Isgouhi Kaloshian; University of California, Riverside
  • Katherine A Borkovich; University of California, Riverside
Preprint in English | medRxiv | ID: ppmedrxiv-21251691
ABSTRACT
Here we describe a relatively quick, simple, economical and accurate laboratory developed test (LDT) for detection of SARS-CoV-2 in heated and diluted saliva samples without RNA extraction. Our protocol is a variation of the University of Illinois Urbana-Champaign SHIELD LDT. Differences include chilling of the samples during dilution and using a reduced volume for the qRT-PCR reactions. The level of detection for our LDT is 3125 copies/ml, which compares favorably with other saliva-based tests. Initial validation studies with a limited number of patient samples have demonstrated excellent agreement between results using our LDT and those obtained from external laboratories. The cost of consumables for our test is under $8 and a throughput of 1000 tests/day can be achieved with 3-4 personnel.
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Full text: Available Collection: Preprints Database: medRxiv Type of study: Prognostic study Language: English Year: 2021 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Prognostic study Language: English Year: 2021 Document type: Preprint
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