Comparative Analysis of RT-PCR and a Colloidal Gold Immunochromatographic Assay for SARS-CoV-2 Detection
<b>Background/Objectives:</b> The COVID-19 pandemic has highlighted the urgent need for rapid, accurate, and accessible diagnostic testing to effectively manage and contain the spread of SARS-CoV-2. RT-PCR is widely recognized as the gold standard for SARS-CoV-2 detection due to its high sensitivity and specificity. However, RT-PCR testing requires specialized laboratory equipment, highly trained personnel, and extended processing times, which limits its feasibility for large-scale screening and point-of-care applications. This study aims to systematically evaluate the diagnostic performance of RT-PCR and a colloidal gold immunochromatographic assay (GICA). <b>Methods</b>: By comparing these two methods, we seek to determine a GICA's effectiveness as a complementary or alternative diagnostic tool, particularly in resource-limited settings and scenarios requiring rapid, large-scale testing. We assessed the following key clinical parameters: sensitivity, specificity, NPV, PPV, and accuracy. Additionally, we investigated the correlation between GICA signal intensity and RT-PCR Ct values using regression analysis, receiver operating characteristic curve analysis, and the calculated area under the curve. <b>Results</b>: Our findings indicate that while RT-PCR exhibits superior sensitivity, GICA results demonstrate a strong correlation with RT-PCR results and provide a rapid, cost-effective alternative for SARS-CoV-2 detection. Unlike RT-PCR, which requires extensive resources and prolonged turnaround times, a GICA delivers results within 20 min, making it a viable option for decentralized testing and real-time public health interventions. <b>Conclusions</b>: These results suggest that a GICA can serve as a complementary diagnostic tool alongside RT-PCR, particularly in resource-limited settings and high-throughput screening scenarios. By integrating GICAs into broader testing strategies, healthcare systems can enhance early detection efforts, improve accessibility to diagnostics, and strengthen pandemic response measures.
Authors
- Calvin Lui
- Harlan L. Pietz (ORCID: https://orcid.org/0000-0003-4792-5708)
- Carl Urban (ORCID: https://orcid.org/0000-0002-7322-0245)
- Nishant Prasad (ORCID: https://orcid.org/0000-0001-6445-3744)
- William H. Rodgers (ORCID: https://orcid.org/0000-0003-3946-3136)
- George D. Rodriguez (ORCID: https://orcid.org/0000-0003-2209-205X)
- Eric Konadu
- James Truong (ORCID: https://orcid.org/0000-0002-7980-2852)
- Mingyu Shao (ORCID: https://orcid.org/0000-0003-2367-5097)
- Dakai Liu (ORCID: https://orcid.org/0000-0003-0658-5866)
- Keither K. James
- Andrew M. Schreiner
- Qiang Zhou (ORCID: https://orcid.org/0000-0002-0811-4702)
- Junyu Chen (ORCID: https://orcid.org/0000-0003-2075-1314)
- Vishnu Singh
- Hui Li (ORCID: https://orcid.org/0000-0002-7031-8562)
Institutions
- Cornell University (US)
- New York Hospital Queens (US)
- Second Affiliated Hospital of Guangzhou Medical University (CN)
- Guangzhou Medical University (CN)
Publication Details
- Journal
- Diagnostics
- Published
- 2025-05-28
- DOI
- https://doi.org/10.3390/diagnostics15111362
- Citations
- 1
- Primary Topic
- SARS-CoV-2 detection and testing
- Type
- article
- Field-Weighted Citation Impact
- 1.40
Funders
- Yale University
- Eastern Virginia Medical School