Dual-mode aptamer-driven biosensing platform for ultrasensitive and mutation-resilient detection of the SARS-CoV-2 nucleocapsid protein
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) remains a significant global health threat because of its rapid evolution and high mutation rate, which limits the performance of existing molecular diagnostics. This study presents a dual-mode, aptamer-based detection platform that combines high sensitivity with mutation resilience. Using a computer-assisted X-aptamer Systematic Evolution of Ligands by EXponential enrichment (SELEX) approach, we identified NP14, a high-affinity, dual-target DNA aptamer that specifically binds to the SARS-CoV-2 nucleocapsid (N) protein at its N-terminal domain. Analyses via molecular docking, aptamer truncation, and targeted mutagenesis revealed that NP14 interacted with both SARS-CoV-2 and SARS-CoV N proteins and identified key nucleotides C24 and G27 of the P1 region and structural determinants critical for its high-affinity binding. Building on this discovery, we engineered a dual-mode biosensing system by integrating NP14 into a multicolor dynamic light scattering-enhanced enzyme-linked aptamer-antibody assay (MD ELAAA). MD ELAAA synergistically combines two complementary detection strategies: i) non-aggregative plasmonic colorimetry for visual signal detection and ii) dynamic light scattering for ultrasensitive quantitative analysis, in which Au/Ag nanomaterials are used to amplify optical and scattering signals. This system achieves a sensitivity of 0.43 TCID<sub>50</sub>/mL, representing a 47-fold improvement over standard methods. By integrating high sensitivity, specificity, variant recognition, and dual-mode signal output, the MD ELAAA platform enables reliable detection of low-abundance SARS-CoV-2 antigens. Its robust performance supports early-stage diagnostics and high-throughput variant monitoring, establishing MD ELAAA as a robust platform for next-generation viral detection and surveillance.
Authors
- Zhou Shu (ORCID: https://orcid.org/0000-0002-0745-0413)
- Siran Zhang
- Jason H. Huang (ORCID: https://orcid.org/0000-0002-4426-0168)
- Yunyi Liu (ORCID: https://orcid.org/0000-0002-5138-9461)
- Bingyan Shi
- Juan Li (ORCID: https://orcid.org/0000-0001-5183-9576)
- Dan Qi (ORCID: https://orcid.org/0000-0001-7015-1849)
- Erxi Wu (ORCID: https://orcid.org/0000-0002-1680-3639)
- Xiaoxiao Hu
- Hailong Ou (ORCID: https://orcid.org/0000-0002-8317-1838)
- Huan Liao (ORCID: https://orcid.org/0000-0003-3696-7005)
- Jiaxuan Li (ORCID: https://orcid.org/0000-0002-1267-5799)
- YI-WEI XU (ORCID: https://orcid.org/0009-0009-1308-696X)
- Yatao Wu
- Zhu Fei (ORCID: https://orcid.org/0009-0002-6695-7326)
Institutions
- Livestrong Foundation (US)
- Chongqing University (CN)
- Hunan University (CN)
- Quanzhou Normal University (CN)
- Baylor College of Medicine (US)
- Baylor Scott & White Medical Center - Temple (US)
- Baylor Scott & White Health (US)
- Texas A&M University (US)
Publication Details
- Journal
- Genes & Diseases
- Published
- 2025-11-20
- DOI
- https://doi.org/10.1016/j.gendis.2025.101943
- Primary Topic
- Advanced biosensing and bioanalysis techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00