ArticleNature biotechnology2020
Detection of SARS-CoV-2 in nasal swabs using MALDI-MS.
Article in Nature biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 101 papers, 5 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
101 citing papers in PubMed, 5 syntheses or guidelines pooled it, 223 citations in OpenAlex.
- Performance of saline and water gargling for SARS-CoV-2 reverse transcriptase PCR testing: a systematic review and meta-analysis.European respiratory review : an official journal of the European Respiratory Society · 2022Pooled it
- Rapid, point-of-care antigen tests for diagnosis of SARS-CoV-2 infection.The Cochrane database of systematic reviews · 2022Pooled it
- Systematic review with meta-analysis of diagnostic test accuracy for COVID-19 by mass spectrometry.Metabolism: clinical and experimental · 2022Pooled it
- Diagnostic performance of different sampling approaches for SARS-CoV-2 RT-PCR testing: a systematic review and meta-analysis.The Lancet. Infectious diseases · 2021Pooled it
- Rapid, point-of-care antigen and molecular-based tests for diagnosis of SARS-CoV-2 infection.The Cochrane database of systematic reviews · 2021Pooled it
- Artificial intelligence-driven integration of multi-biofluid omics and clinical phenotype enables stratification of endometrial cancer.Cell reports. Medicine · 2026Article
- Serum peptidomics by MALDI-TOF MS coupled with machine learning approaches for diagnosis of primary liver cancer.Analytical and bioanalytical chemistry · 2026Article
- Data Processing and Machine Learning Methods to Analyze MALDI-TOF MS Data.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Proteomics in the Diagnosis of Viral and Pathogenic Infections.Advances in experimental medicine and biology · 2026Review
- Early Diagnosis of Acute Kidney Injury in Liver Transplant Patients by an Untargeted Metabolomic Approach.Analytical science advances · 2025Article
- Serum and urine metabolic fingerprints enable diagnosis and prognosis for IgA nephropathy.Materials today. Bio · 2025Article
- Article
- Diagnostic screening of COVID-19 based on multiomics data by high-resolution mass spectrometry (MALDI (+)-TOF MS and ESI(±)-Orbitrap MS).Metabolomics : Official journal of the Metabolomic Society · 2025Article
- Innovations in MALDI-TOF Mass Spectrometry: Bridging modern diagnostics and historical insights.Open life sciences · 2025Review
- Surface-Enhanced Raman Scattering Combined with Machine Learning for Rapid and Sensitive Detection of Anti-SARS-CoV-2 IgG.Biosensors · 2024Article
- A novel and fully automated platform for synthetic tabular data generation and validation.Scientific reports · 2024Article
- Implementation of multiomic mass spectrometry approaches for the evaluation of human health following environmental exposure.Molecular omics · 2024Review
- Direct sub-atmospheric pressure ionization mass spectrometry: Evaporation/sublimation-driven ionization is amazing, fundamentally, and practically.Journal of mass spectrometry : JMS · 2024Review
- The Impact of Artificial Intelligence on Microbial Diagnosis.Microorganisms · 2024Review
- Application of MALDI-TOF MS and machine learning for the detection of SARS-CoV-2 and non-SARS-CoV-2 respiratory infections.Microbiology spectrum · 2024Article
41 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Detection of SARS-CoV-2 using RT-PCR and other advanced methods can achieve high accuracy. However, their application is limited in countries that lack sufficient resources to handle large-scale testing during the COVID-19 pandemic. Here, we describe a method to detect SARS-CoV-2 in nasal swabs using matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) and machine learning analysis. This approach uses equipment and expertise commonly found in clinical laboratories in developing countries. We obtained mass spectra from a total of 362 samples (211 SARS-CoV-2-positive and 151 negative by RT-PCR) without prior sample preparation from three different laboratories. We tested two feature selection methods and six machine learning approaches to identify the top performing analysis approaches and determine the accuracy of SARS-CoV-2 detection. The support vector machine model provided the highest accuracy (93.9%), with 7% false positives and 5% false negatives. Our results suggest that MALDI-MS and machine learning analysis can be used to reliably detect SARS-CoV-2 in nasal swab samples.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.