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Development of a rapid and specific MALDI-TOF mass spectrometric assay for SARS-CoV-2 detection

Lydia Kollhoff, Marc Kipping, Manfred Rauh, Uta Ceglarek, Günes Barka, Frederik Barka, Andrea Sinz

2023Clinical Proteomics14 citationsDOIOpen Access PDF

Abstract

We have developed a rapid and highly specific assay for detecting and monitoring SARS-CoV-2 infections by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS). As MALDI-TOF mass spectrometers are available in a clinical setting, our assay has the potential to serve as alternative to the commonly used reverse transcriptase quantitative polymerase chain reaction (RT-qPCR). Sample preparation prior to MALDI-TOF-MS involves the tryptic digestion of SARS-CoV-2 proteins, followed by an enrichment of virus-specific peptides from SARS-CoV-2 nucleoprotein via magnetic antibody beads. Our MALDI-TOF-MS method allows the detection of SARS-CoV-2 nucleoprotein in sample collection medium as low as 8 amol/µl. MALDI-TOF mass spectra are obtained in just a few seconds, which makes our MS-based assay suitable for a high-throughput screening of SARS-CoV-2 in healthcare facilities in addition to PCR. Due to the specific detection of virus peptides, different SARS-CoV-2 variants are readily distinguished from each other. Specifically, we show that our MALDI-TOF-MS assay discriminates SARS-CoV-2 strain B.1.617.2 "delta variant" from all other variants in patients' samples, making our method highly valuable to monitor the emergence of new virus variants.

Topics & Concepts

Mass spectrometryNucleoproteinChemistryMultiplexChromatographyMatrix-assisted laser desorption/ionizationTime-of-flight mass spectrometrySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)VirusMagnetic beadMolecular biologyVirologyCoronavirus disease 2019 (COVID-19)BiologyMedicineBioinformaticsDesorptionPathologyIonDiseaseAdsorptionInfectious disease (medical specialty)IonizationOrganic chemistrySARS-CoV-2 detection and testingBiosensors and Analytical DetectionCOVID-19 diagnosis using AI