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Oxygen-Vacancy-Engineered WOX Nanowire-Based Surface-Enhanced Raman Scattering Biosensor with Lyophilized
Zhenzhen Liu1, Jianrong Qi2, Lili Sun1
1State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing 100071, China.
ACS Sensors
|May 14, 2026
Summary
A new CRISPR/Cas13a-SERS lateral flow assay rapidly detects Chikungunya virus (CHIKV). This sensitive method accurately identifies CHIKV in clinical samples, aiding public health surveillance.
Area of Science:
- Nanotechnology
- Molecular Biology
- Immunology
Background:
- Chikungunya virus (CHIKV) outbreaks cause significant public health challenges, including acute and chronic joint pain.
- Rapid and sensitive detection of CHIKV is essential for effective control and prevention strategies.
Purpose of the Study:
- To develop a CRISPR/Cas13a-mediated SERS lateral flow immunoassay for rapid and highly sensitive CHIKV detection.
- To evaluate the platform's performance using CHIKV plasmid, inactivated viruses, and clinical serum samples.
Main Methods:
- Fabrication of SERS tags using 1D nanowires loaded with gold nanoparticles, optimizing WOX nanowire structure for enhanced LSPR.
- Integration of a lyophilized CRISPR/Cas13a system into a lateral flow immunoassay for simplified workflow.
- Detection of CHIKV using the developed platform and comparison with quantitative PCR (qPCR) for clinical sample validation.
Main Results:
- The assay achieved limits of detection of 0.56 copies/μL for CHIKV plasmid and 1.03 copies/μL for inactivated CHIKV.
- The platform demonstrated 100% consistency with qPCR in diagnosing 34 clinical serum samples.
- Optimized WOX nanowire structure enhanced SERS performance through improved gold nanoparticle growth and LSPR effect.
Conclusions:
- The developed CRISPR/Cas13a-SERS lateral flow immunoassay offers a simple, rapid, and reliable tool for early and precise identification of CHIKV.
- This technology can significantly aid in the efficient monitoring and control of Chikungunya virus outbreaks.
- The platform's high sensitivity and accuracy make it a valuable asset for public health surveillance.

