journal article·2021-12-24Open access

fM–aM Detection of the SARS-CoV-2 Antigen by Advanced Lateral Flow Immunoassay Based on Gold Nanospheres

Yilin Liu, Li Zhan, Jesse W. Shen, Bàrbara Baro, Andrea Alemany, James Sackrison, Oriol Mitjà, John C. Bischof

ACS Applied Nano Materials· Volume 4· Issue 12

Abstract

The SARS-CoV-2 global pandemic created an unprecedented need for rapid, sensitive, and inexpensive point-of-care (POC) diagnostic tests to treat and control the disease. Many POC SARS-CoV-2 lateral flow immunoassays (LFAs) have been developed and/or commercialized, but with only limited sensitivity (μM-fM). We created an advanced LFA based on gold nanospheres (GNSs) with comprehensive assay redesign for enhanced specific binding and thermal contrast amplification (TCA) on GNSs for signal amplification, which enabled fM-aM detection sensitivity for SARS-CoV-2 spike receptor-binding domain (RBD) proteins within 30 min. The advanced LFA can visually detect RBD proteins down to 3.6 and 28.6 aM in buffer and human nasopharyngeal wash, respectively. This is the first reported LFA achieving sensitivity comparable to that of the PCR (aM-zM) by visual reading, which was much more sensitive than traditional LFAs. We also developed a fast (<1 min) TCA reading algorithm, with results showing that this TCA could distinguish 26-32% visual false negatives for clinical commercial LFAs. When our advanced LFAs were applied with this TCA, the sensitivities were further improved by eightfold to 0.45 aM (in buffer) and 3.6 aM (in the human nasopharyngeal wash) with a semiquantitative readout. Our proposed advanced LFA with a TCA diagnostic platform can help control the current SARS-CoV-2 pandemic. Furthermore, the simplicity and speed with which this assay was assembled may also facilitate preparedness for future pandemics.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Biosensors and Analytical Detection · SARS-CoV-2 detection and testing · Advanced biosensing and bioanalysis techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Mechanical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States

ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona 08036, Spain

Fight AIDS and Infectious Diseases Foundation, Badalona 08916, Spain

Hospital Universitari Germans Trias i Pujol, Badalona 08916, Spain

3984 Hunters Hill Way, Minnetonka, Minnesota 55345, United States

Lihir Medical Centre − International SOS, Lihir Island, New Ireland 633, Papua New Guinea

Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States

Funding

Ag??ncia de Gesti?? d???Ajuts Universitaris i de Recerca · H2020 Marie Sk??odowska-Curie Actions · Division of Chemical, Bioengineering, Environmental, and Transport Systems · University of Minnesota · Fundaci?? Institut d'Investigaci?? en Ci??ncies de la Salut Germans Trias i Pujol

References (52)

Show source-provided references
1. 10.1016/S0140-6736(20)30185-910.1016/S0140-6736(20)30185-9 ↗
2. 10.1056/NEJMoa200101710.1056/NEJMoa2001017 ↗
3. 10.1038/s41587-020-0513-410.1038/s41587-020-0513-4 ↗
4. WHO. COVID-19 Weekly Epidemiological Update 35; World Health Organization, No. December, 2021; pp 1–3.
5. 10.1021/acsnano.0c0262410.1021/acsnano.0c02624 ↗
6. 10.1021/acsabm.1c0010210.1021/acsabm.1c00102 ↗
7. 10.3390/bioengineering802002310.3390/bioengineering8020023 ↗
8. 10.1007/s10096-004-1100-110.1007/s10096-004-1100-1 ↗
9. 10.5582/ddt.2020.0306710.5582/ddt.2020.03067 ↗
10. 10.4102/phcfm.v12i1.250110.4102/phcfm.v12i1.2501 ↗
11. 10.1016/j.jcv.2020.10452910.1016/j.jcv.2020.104529 ↗
12. 10.1002/jmv.2572710.1002/jmv.25727 ↗
13. 10.1101/2020.03.07.2003252410.1101/2020.03.07.20032524 ↗
14. 10.1016/j.cmi.2020.11.00410.1016/j.cmi.2020.11.004 ↗
15. 10.1016/j.jcv.2020.10445510.1016/j.jcv.2020.104455 ↗
16. 10.1128/JCM.02880-2010.1128/JCM.02880-20 ↗
17. 10.1128/JCM.01438-2010.1128/JCM.01438-20 ↗
18. 10.15585/mmwr.mm7003e310.15585/mmwr.mm7003e3 ↗
19. 10.12688/wellcomeopenres.15525.110.12688/wellcomeopenres.15525.1 ↗
20. 10.1016/j.puhe.2020.04.00910.1016/j.puhe.2020.04.009 ↗
21. 10.1021/acsnano.0c1003510.1021/acsnano.0c10035 ↗
22. 10.7150/thno.4429810.7150/thno.44298 ↗
23. Soh J. H. · 2020 · 30 · 100831
24. 10.1016/j.jpba.2021.11392410.1016/j.jpba.2021.113924 ↗
25. 10.1021/acs.analchem.0c0505910.1021/acs.analchem.0c05059 ↗
26. 10.1002/ange.20201450610.1002/ange.202014506 ↗
27. 10.3389/fcimb.2021.61330410.3389/fcimb.2021.613304 ↗
28. 10.1016/j.jviromet.2021.11422710.1016/j.jviromet.2021.114227 ↗
29. 10.1039/D0LC01222J10.1039/D0LC01222J ↗
30. 10.1021/acs.analchem.0c0078410.1021/acs.analchem.0c00784 ↗
31. 10.1039/D1AN00304F10.1039/D1AN00304F ↗
32. 10.1021/acsnano.1c0193210.1021/acsnano.1c01932 ↗
33. 10.1016/j.snb.2020.12919610.1016/j.snb.2020.129196 ↗
34. 10.1063/5.002184210.1063/5.0021842 ↗
35. 10.1016/j.bios.2020.11271510.1016/j.bios.2020.112715 ↗
36. 10.1016/j.molimm.2021.01.00510.1016/j.molimm.2021.01.005 ↗
37. 10.1021/acs.analchem.0c0197510.1021/acs.analchem.0c01975 ↗
38. 10.1002/anie.20120099710.1002/anie.201200997 ↗
39. 10.3201/eid2001.13090610.3201/eid2001.130906 ↗
40. 10.1021/acs.analchem.6b0340610.1021/acs.analchem.6b03406 ↗
41. 10.1021/acs.nanolett.7b0230210.1021/acs.nanolett.7b02302 ↗
42. 10.1038/s41378-020-0168-910.1038/s41378-020-0168-9 ↗
43. 10.3390/diagnostics1103046210.3390/diagnostics11030462 ↗
44. 10.1039/C8AY02125B10.1039/C8AY02125B ↗
45. 10.1021/acs.bioconjchem.6b0052310.1021/acs.bioconjchem.6b00523 ↗
46. 10.1002/smll.20170282810.1002/smll.201702828 ↗
47. Wang Y. · 2019
48. Oldenburg S. J. · 2000
49. 10.1039/C6LC00518G10.1039/C6LC00518G ↗
50. 10.1016/j.jinf.2021.04.00910.1016/j.jinf.2021.04.009 ↗
51. 10.1021/ja907069u10.1021/ja907069u ↗
52. 10.1038/physci241020a010.1038/physci241020a0 ↗