Establishing a mass spectrometry-based system for rapid detection of SARS-CoV-2 in large clinical sample cohorts
Karina Helena Morais Cardozo, Adriana Lebkuchen, Guilherme Gonçalves Okai, Rodrigo Andrade Schuch, Luciana Godoy Viana, Aline Nogueira Olivé, Carolina dos Santos Lázari, Ana Fraga, Celso Granato, Maria Carolina Tostes Pintão, Valdemir Melechco Carvalho
- Year
- 2020
- Citations
- 126
- Access
- Open access
Abstract
The outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is pressing public health systems around the world, and large population testing is a key step to control this pandemic disease. Here, we develop a high-throughput targeted proteomics assay to detect SARS-CoV-2 nucleoprotein peptides directly from nasopharyngeal and oropharyngeal swabs. A modified magnetic particle-based proteomics approach implemented on a robotic liquid handler enables fully automated preparation of 96 samples within 4 hours. A TFC-MS system allows multiplexed analysis of 4 samples within 10 min, enabling the processing of more than 500 samples per day. We validate this method qualitatively (Tier 3) and quantitatively (Tier 1) using 985 specimens previously analyzed by real-time RT-PCR, and detect up to 84% of the positive cases with up to 97% specificity. The presented strategy has high sample stability and should be considered as an option for SARS-CoV-2 testing in large populations.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
Genetic Programming: On the Programming of Computers by Means of Natural Selection
John R. Koza
1992