Integrated RPA–CRISPR/Cas12a Technology for Rapid Detection of Salmonella enterica

Background/Objectives: Rapid identification of foodborne pathogens is of high practical significance because it enables prompt epidemiological response, timely patient management, and effective sanitary control of food products. In this study, we developed an integrated molecular platform combining recombinase polymerase amplification (RPA) with CRISPR/Cas12a technology for rapid, sensitive, and specific detection of Salmonella enterica. Methods: Four virulence genes (sirA, stn, siiD, and pagN) were selected as targets to ensure reliable pathogen identification. Reaction conditions were optimized using the Moraxella bovoculi Cas12a (MbCas12a) nuclease. The study focused on integrating isothermal amplification with a custom-engineered hardware solution for visual fluorescence detection. Results: The developed method demonstrated sensitive and specific detection, with no cross-reactivity to non-target microorganisms. Optimization allowed for a substantially reduced assay time of approximately 30 min. As a result, a portable fluorescence visualization approach was developed, featuring a 3D-printed housing and an integrated ultraviolet light source for direct visual fluorescence detection. This allows rapid differentiation of samples without specialized laboratory equipment, making it suitable for field applications. Conclusions: The combination of isothermal amplification, MbCas12a-based detection, and the portable fluorescence visualization approach provides a versatile platform for rapid diagnostics and food safety monitoring. This approach has strong potential to improve public health outcomes and enhance the resilience of food supply chains by enabling accessible, field-deployable pathogen detection.

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Publication Details

Journal
Diagnostics
Published
2026-04-30
DOI
https://doi.org/10.3390/diagnostics16091371
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
0.00

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article

Integrated RPA–CRISPR/Cas12a Technology for Rapid Detection of Salmonella enterica

Aisha Shaizadinova, Meruyert Amanzholova, Sailau Abeldenov, Ainur Akimbekova et al.
Diagnostics
CRISPR and Genetic Engineering
article

Integrated RPA–CRISPR/Cas12a Technology for Rapid Detection of Salmonella enterica

Aisha Shaizadinova, Meruyert Amanzholova, Sailau Abeldenov, Ainur Akimbekova, Aitbay Bulashev
article en

Abstract

Background/Objectives: Rapid identification of foodborne pathogens is of high practical significance because it enables prompt epidemiological response, timely patient management, and effective sanitary control of food products. In this study, we developed an integrated molecular platform combining recombinase polymerase amplification (RPA) with CRISPR/Cas12a technology for rapid, sensitive, and specific detection of Salmonella enterica. Methods: Four virulence genes (sirA, stn, siiD, and pagN) were selected as targets to ensure reliable pathogen identification. Reaction conditions were optimized using the Moraxella bovoculi Cas12a (MbCas12a) nuclease. The study focused on integrating isothermal amplification with a custom-engineered hardware solution for visual fluorescence detection. Results: The developed method demonstrated sensitive and specific detection, with no cross-reactivity to non-target microorganisms. Optimization allowed for a substantially reduced assay time of approximately 30 min. As a result, a portable fluorescence visualization approach was developed, featuring a 3D-printed housing and an integrated ultraviolet light source for direct visual fluorescence detection. This allows rapid differentiation of samples without specialized laboratory equipment, making it suitable for field applications. Conclusions: The combination of isothermal amplification, MbCas12a-based detection, and the portable fluorescence visualization approach provides a versatile platform for rapid diagnostics and food safety monitoring. This approach has strong potential to improve public health outcomes and enhance the resilience of food supply chains by enabling accessible, field-deployable pathogen detection.

DiagnosticsVol. 16(9)
Al-Farabi Kazakh National University (KZ), National Center for Biotechnology (KZ), S.Seifullin Kazakh Agro Technical University (KZ)
Ministry of Agriculture of the Republic of Kazakhstan
Openalex Percentile: Top 9%
CRISPR and Genetic Engineering
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