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. 2023 Aug 14;14:1217567. doi: 10.3389/fmicb.2023.1217567

TABLE 1.

Evaluation of the advantages/disadvantages of SARS-CoV-2 detection technology.

Methods Assay name Targeted genes Sample type Minimum detection limit TAT/
test
Advantages Disadvantages References
Nucleic acid-based molecular biology diagnostics
RT-PCR Cobas® SARS-CoV-2 Test (Roche) ORF-1a, E Nasopharyngeal and oropharyngeal swabs Target 1: 25 copies/mL (95% CI: 17wabsiopies/mL); Target 2: 32 copies/ml (95% CI: 21–73 copies/mL) 3–4 h High specificity and sensitivity High rate of false negatives, and has experimental operation and cost requirements Staff, 2016
RT-PCR ID NOW COVID-19 assay (Abbott) RdRp Nasal, Throat, and Nasopharyngeal swabs NA ≤ 13 min Farfour et al., 2021
RT-LAMP Biofire Filmarray RP-2.1 (bioMerieux) RdRp, N, E Nasopharyngeal swab in transport media or saline NA ∼45 min No need to raise or lower temperature; short reaction time; simple procedure Non-specific amplification is difficult to identify Martinez et al., 2016
CRISPR-Cas system CRISPR-Cas12-based assay (Cepheid) N, E Respiratory swabs NA ≤ 40 min Suitable for point-of-care testing (POCT) Possible care target” phenomenon Broughton et al., 2020
Serological diagnosis based on antigen-antibody
FIA Sofia 2 Flu + SARS Antigen FIA (Quidel Corporation) N Nasal swab, Nasopharyngeal swab 91.7 TCID50/ml 15–20 min High sensitivity, simple reagents Window period, easy to miss diagnosis, cross reaction Brihn et al., 2021
MESIA Sampinute COVID-19 Antigen MIA (Celltrion USA, Inc.) S Nasopharyngeal swab 1.2 × 102 TCID50/ml 15–20 min Magnetic control, high sensitivity target is susceptible to virus mutation. Mahmoudinobar et al., 2021
LF-CGIA BinaxNOW COVID-19 Ag Card Home Test (Abbott Diagnostic Scarborough Inc.) N Nasal swab 140.6 TCID50/ml 15–20 min Positive results are very accurate, easy to operate Negative does not rule out infection Okoye et al., 2021
CDI BD Veritor System for Rapid Detection of SARS-CoV-2 (Becton, Dickinson and Company (BD)) N Nasal swab 1.4 × 102 TCID50/ml 15–20 min Van der Moeren et al., 2020
Diagnostic medical imaging
CT / / / / About 1 h More accurate in determining disease status Cannot be distinguished from other viral pneumonia
Artificial intelligence: CT combined with algorithm-based deep learning / / / / About 1 h Diagnostic capability based on continuous optimization of algorithms AI recognition models need to pass a certain time in training, and the technical requirements are high
Viral culture / / / / Strains can be isolated for other experiments; High accuracy of culture results Very time-consuming; labor-intensive; requires high professional knowledge of operators; requires high biological safety