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. 2026 Jan 15;40(1):e71397.
doi: 10.1096/fj.202503610R.

Development of Visual and Fluorescence Detection Method of Brucella by RPA-CRISPR/Cas12a Assay

Affiliations

Development of Visual and Fluorescence Detection Method of Brucella by RPA-CRISPR/Cas12a Assay

Hafiz Muhammad Hamza Rasool et al. FASEB J. .

Abstract

Brucella is a significant pathogen in the livestock industry, causing Brucellosis, a zoonotic disease that leads to considerable health and economic losses in both humans and animals. Current diagnostic methods for Brucella, including culture, serological assays, and PCR/qPCR, are valuable tools but have inherent limitations. These include the requirement for BSL-3 laboratories, trained personnel, complex procedures, expensive equipment, issues with sensitivity and specificity, and the time-consuming nature of assays, making them unsuitable for large-scale epidemiological screening. Therefore, there is a critical need to develop a rapid, portable, and cost-effective diagnostic method with high specificity and sensitivity. In this study, we established a rapid, portable, reliable, and inexpensive detection method for Brucella genus identification based on RPA-CRISPR/Cas12a technology. Specific RPA primers and crRNA sequences were designed targeting the bcsp31 gene of Brucella. Subsequently, both a fluorescence assay and a lateral flow strip (LFS) assay were developed after optimizing the conditions using the RPA-CRISPR/Cas12a system. The limit of detection (LoD) was 1 copy/μL for RPA-CRISPR/Cas12a-F and 10 copies/μL for RPA-CRISPR/Cas12a-LFS and the entire assay was completed in less than 30 min. This method demonstrated excellent specificity in distinguishing Brucella from other closely related pathogens. Moreover, the RPA-CRISPR/Cas12a assay showed high concordance with classical quantitative real-time PCR when testing diverse clinical samples (blood, serum, milk, semen, vaginal secretions). Together, these findings make this method a promising tool for Brucella detection, with potential applications in both field surveillance and clinical diagnostics.

Keywords: Brucella; CRISPR; RPA; molecular diagnostics; sensitivity; specificity.

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