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Rapid immunoassay for dual-mode detection of HPV16 and HPV18 DNA based on Au@PdPt nanoparticles.

Authors :
Xiao H
Chen W
Lin M
Jiang S
Cui X
Zhao S
Source :
Analytical methods : advancing methods and applications [Anal Methods] 2024 Mar 28; Vol. 16 (13), pp. 1862-1869. Date of Electronic Publication: 2024 Mar 28.
Publication Year :
2024

Abstract

Cervical cancer (CC) remains one of the most severe global health challenges affecting women, primarily due to persistent infection with high-risk human papillomavirus (HPV) subtypes, particularly with HPV16 and HPV 18. Effective detection of these high-risk HPV strains is crucial for CC prevention. Current screening programs for HPV DNA include PCR and in situ hybridization, which are accurate and sensitive. However, these approaches demand a high level of expertise, along with expensive instruments and consumables, thus hindering their widespread use. Therefore, there is a compelling demand to develop an efficient, straightforward, and cost-effective method. Herein, we propose a lateral flow immunoassay (LFIA) method based on Au@PdPt nanoparticles for the simultaneous detection and genotyping of HPV16 and HPV18 within 15 min. This innovative approach allows for qualitative assessment by the naked eye and enables semi-quantitative detection through a smartphone. In this study, under optimal conditions, the qualitative visual limits of detection (vLOD) for HPV16 and HPV18 reached 0.007 nM and 0.01 nM, respectively, which were 32-fold and 20-fold more sensitive than conventional AuNPs-LFIA for HPV16 and HPV18, respectively. Meanwhile, semi-quantitative limits of detection (qLOD) for HPV16 and HPV18 were 0.05 nM and 0.02 nM, respectively. In conclusion, our formulated approach represents a significant step forward in HPV detection and genotyping, with the potential to enhance accessibility and effectiveness in the early diagnosis of CC at the point of care and beyond.

Details

Language :
English
ISSN :
1759-9679
Volume :
16
Issue :
13
Database :
MEDLINE
Journal :
Analytical methods : advancing methods and applications
Publication Type :
Academic Journal
Accession number :
38463013
Full Text :
https://doi.org/10.1039/d3ay02307a