期刊
ANALYTICAL CHEMISTRY
卷 94, 期 51, 页码 17819-17826出版社
AMER CHEMICAL SOC
DOI: 10.1021/acs.analchem.2c03521
关键词
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资金
- Taiwan Ministry of Science and Technology (MOST) [MOST 111- 2223-E-011-002-MY3, MOST 111-2628-E-011-002-MY2, MOST 110-2222-E-011-004, MOST 110-2628-E-011-003, MOST 111-NU-E-011-001-NU, MOST 109-2923-E-011- 003-MY3]
Dengue fever is a global viral infectious disease, and early detection is crucial for disease prevention and clinical care. In this study, a novel rapid and highly sensitive tool for dengue detection was developed, which can differentiate different NS1 protein serotypes, potentially enabling early detection in high-risk and limited-resource areas.
Dengue fever is a global mosquito-borne viral infectious disease that has, in recent years, rapidly spread to almost all regions of the world. Lack of vaccination and directed treatment makes detection at the infection's early stages extremely important for disease prevention and clinical care. In this paper, we developed a rapid and highly sensitive dengue detection tool using a novel platform of diagnosis, called spin-enhanced lateral flow immunoassay (SELFIA) with a fluorescent nanodiamond (FND) as a reporter. Taking advantage of the unique magneto-optical properties of negatively charged nitrogen-vacancy centers in the FND, the SELFIA platform utilizes alternating electromagnetic fields to modulate signals from FND's fluorescence to provide sensitive and specific results. With sandwich SELFIA, we could efficiently detect all four dengue non-structural protein (NS1) serotypes (DV1, DV2, DV3, and DV4). The lowest detection concentration of the dengue NS1 antigens varied from 0.1 to 1.3 ng/mL, which is among the lowest limits of detection to date. The FND-based SELFIA technique is up to 500 and 5000 times more sensitive than carbon black and conventional gold nanoparticles, respectively. By using different anti-NS1 antibodies, we could differentiate the NS1 antigen serotypes contained in the tested samples via three simultaneous assays. Proposed SELFIA allows for both qualitative and quantitative differentiation between different NS1 protein serotypes, which will assist in the development of a highly sensitive and specific detection platform for dengue screening that has the potential to detect the disease at its early stages, especially in high-risk and limited-resource areas.
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