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Wang Y, Du P, Shao Y, Wang W, Liu Y, Ma Y, Hu P, Cao J, Wang X, Abd El-Aty AM. An Innovative and Efficient Fluorescent Detection Technique for Salmonella in Animal-Derived Foods Using the CRISPR/Cas12a-HCR System Combined with PCR/RAA. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024; 72:8831-8839. [PMID: 38575365 DOI: 10.1021/acs.jafc.3c08829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/06/2024]
Abstract
Here, we present a method for Salmonella detection using clustered regularly interspaced short palindromic repeats associated with the CRISPR-associated protein 12a-hybridization chain reaction (CRISPR/Cas12a-HCR) system combined with polymerase chain reaction/recombinase-assisted amplification (PCR/RAA) technology. The approach relies on the Salmonella invA gene as a biorecognition element and its amplification through PCR and RAA. In the presence of the target gene, Cas12a, guided by crRNA, recognizes and cleaves the amplification product, initiating the HCR. Fluorescently labeled single-stranded DNA (ssDNA) H1 and H2 were introduced, and the Salmonella concentration was determined based on the fluorescence intensity from the triggered HCR. Both assays demonstrate high specificity, sensitivity, simplicity, and rapidity. The detection range was 2 × 101-2 × 109 CFU/mL, with an LOD of 20 CFU/mL, and the entire process enabled specific and rapid Salmonella detection within 85-105 min. Field-incurred spiked recovery tests were conducted in mutton and beef samples using both assays, demonstrating satisfactory recovery and accuracy in animal-derived foods. By combining CRISPR/Cas12a with hybridization chain reaction technology, this study presents a rapid and sensitive Salmonella detection method that is crucial for identifying pathogenic bacteria and monitoring food safety.
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Affiliation(s)
- Yuanshang Wang
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
- Key Laboratory of Environment Correlative Dietology, Huazhong Agricultural University, Wuhan 430070, China
- Institute of Food & Nutrition Science and Technology, Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Agro-Products Processing Technology, Key Laboratory of Novel Food Resources Processing, Ministry of Agriculture, Jinan 250100, China
| | - Pengfei Du
- Institute of Food & Nutrition Science and Technology, Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Agro-Products Processing Technology, Key Laboratory of Novel Food Resources Processing, Ministry of Agriculture, Jinan 250100, China
| | - Yanchun Shao
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
- Key Laboratory of Environment Correlative Dietology, Huazhong Agricultural University, Wuhan 430070, China
| | - Weiting Wang
- Institute of Food & Nutrition Science and Technology, Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Agro-Products Processing Technology, Key Laboratory of Novel Food Resources Processing, Ministry of Agriculture, Jinan 250100, China
| | - Yaobo Liu
- Institute of Food & Nutrition Science and Technology, Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Agro-Products Processing Technology, Key Laboratory of Novel Food Resources Processing, Ministry of Agriculture, Jinan 250100, China
| | - Yanli Ma
- Institute of Food & Nutrition Science and Technology, Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Agro-Products Processing Technology, Key Laboratory of Novel Food Resources Processing, Ministry of Agriculture, Jinan 250100, China
| | - Peng Hu
- Institute of Food & Nutrition Science and Technology, Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Agro-Products Processing Technology, Key Laboratory of Novel Food Resources Processing, Ministry of Agriculture, Jinan 250100, China
| | - Jianfang Cao
- Institute of Food & Nutrition Science and Technology, Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Agro-Products Processing Technology, Key Laboratory of Novel Food Resources Processing, Ministry of Agriculture, Jinan 250100, China
| | - Xiaohong Wang
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
- Key Laboratory of Environment Correlative Dietology, Huazhong Agricultural University, Wuhan 430070, China
| | - A M Abd El-Aty
- Department of Pharmacology, Faculty of Veterinary Medicine, Cairo University, 12211 Giza, Egypt
- Department of Medical Pharmacology, Medical Faculty, Ataturk University, 25240 Erzurum, Turkey
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Jin S, Chen H, Pan K, Li R, Ma X, Yuan R, Meng X, He H. State-of-the-art electrochemical biosensors based on covalent organic frameworks and their hybrid materials. Talanta 2024; 270:125557. [PMID: 38128284 DOI: 10.1016/j.talanta.2023.125557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 12/10/2023] [Accepted: 12/13/2023] [Indexed: 12/23/2023]
Abstract
As the development of global population and industry civilization, the accurate and sensitive detection of intended analytes is becoming an important and great challenge in the field of environmental, medical, and public safety. Recently, electrochemical biosensors have been constructed and used in sensing fields, such as antibiotics, pesticides, specific markers of cancer, and so on. Functional materials have been designed and prepared to enhance detection performance. Among all reported materials, covalent organic frameworks (COFs) are emerging as porous crystalline materials to construct electrochemical biosensors, because COFs have many unique advantages, including large surface area, high stability, atom-level designability, and diversity, to achieve a far better sensing performance. In this comprehensive review, we not only summarize state-of-the-art electrochemical biosensors based on COFs and their hybrid materials but also highlight and discuss some typical examples in detail. We finally provide the challenge and future perspective of COFs-based electrochemical biosensors.
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Affiliation(s)
- Shi Jin
- Department of Basic Science, Jilin Jianzhu University, Changchun, 130118, PR China
| | - Hongxu Chen
- College of Material and Textile Engineering, Jiaxing University, Jiaxing, 314001, PR China.
| | - Kexuan Pan
- College of Material and Textile Engineering, Jiaxing University, Jiaxing, 314001, PR China
| | - Ruyu Li
- Department of Materials Science and Engineering, Jilin Jianzhu University, Changchun, 130118, PR China
| | - Xingyu Ma
- Department of Materials Science and Engineering, Jilin Jianzhu University, Changchun, 130118, PR China
| | - Rongrong Yuan
- Department of Materials Science and Engineering, Jilin Jianzhu University, Changchun, 130118, PR China.
| | - Xianshu Meng
- College of Chemistry, Tianjin Key Laboratory of Structure and Performance for Functional Molecules, Tianjin Normal University, Tianjin, 300387, PR China
| | - Hongming He
- College of Chemistry, Tianjin Key Laboratory of Structure and Performance for Functional Molecules, Tianjin Normal University, Tianjin, 300387, PR China.
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Zhou Z, Liang L, Liao C, Pan L, Wang C, Ma J, Yi X, Tan M, Li X, Wei G. A multiplex RPA coupled with CRISPR-Cas12a system for rapid and cost-effective identification of carbapenem-resistant Acinetobacter baumannii. Front Microbiol 2024; 15:1359976. [PMID: 38516017 PMCID: PMC10956356 DOI: 10.3389/fmicb.2024.1359976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 02/26/2024] [Indexed: 03/23/2024] Open
Abstract
Background Carbapenem-resistant Acinetobacter baumannii (CRAB) poses a severe nosocomial threat, prompting a need for efficient detection methods. Traditional approaches, such as bacterial culture and PCR, are time-consuming and cumbersome. The CRISPR-based gene editing system offered a potential approach for point-of-care testing of CRAB. Methods We integrated recombinase polymerase amplification (RPA) and CRISPR-Cas12a system to swiftly diagnose CRAB-associated genes, OXA-51 and OXA-23. This multiplex RPA-CRISPR-Cas12a system eliminates bulky instruments, ensuring a simplified UV lamp-based outcome interpretation. Results Operating at 37°C to 40°C, the entire process achieves CRAB diagnosis within 90 minutes. Detection limits for OXA-51 and OXA-23 genes are 1.3 × 10-6 ng/μL, exhibiting exclusive CRAB detection without cross-reactivity to common pathogens. Notably, the platform shows 100% concordance with PCR when testing 30 clinical Acinetobacter baumannii strains. Conclusion In conclusion, our multiplex RPA coupled with the CRISPR-Cas12a system provides a fast and sensitive CRAB detection method, overcoming limitations of traditional approaches and holding promise for efficient point-of-care testing.
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Affiliation(s)
- Zihan Zhou
- Center for Medical Laboratory Science, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China
- Baise Key Laboratory for Research and Development on Clinical Molecular Diagnosis for High-Incidence Diseases, Baise, Guangxi, China
- Key Laboratory of Research on Clinical Molecular Diagnosis for High Incidence Diseases in Western Guangxi, Baise, Guangxi, China
| | - Lina Liang
- Center for Medical Laboratory Science, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China
- Baise Key Laboratory for Research and Development on Clinical Molecular Diagnosis for High-Incidence Diseases, Baise, Guangxi, China
- Key Laboratory of Research on Clinical Molecular Diagnosis for High Incidence Diseases in Western Guangxi, Baise, Guangxi, China
| | - Chuan Liao
- Center for Medical Laboratory Science, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China
- Baise Key Laboratory for Research and Development on Clinical Molecular Diagnosis for High-Incidence Diseases, Baise, Guangxi, China
- Key Laboratory of Research on Clinical Molecular Diagnosis for High Incidence Diseases in Western Guangxi, Baise, Guangxi, China
| | - Lele Pan
- Center for Medical Laboratory Science, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China
- Baise Key Laboratory for Research and Development on Clinical Molecular Diagnosis for High-Incidence Diseases, Baise, Guangxi, China
- Key Laboratory of Research on Clinical Molecular Diagnosis for High Incidence Diseases in Western Guangxi, Baise, Guangxi, China
| | - Chunfang Wang
- Center for Medical Laboratory Science, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China
- Baise Key Laboratory for Research and Development on Clinical Molecular Diagnosis for High-Incidence Diseases, Baise, Guangxi, China
- Key Laboratory of Research on Clinical Molecular Diagnosis for High Incidence Diseases in Western Guangxi, Baise, Guangxi, China
| | - Jiangmei Ma
- Center for Medical Laboratory Science, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China
| | - Xueli Yi
- Center for Medical Laboratory Science, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China
| | - Meiying Tan
- Center for Medical Laboratory Science, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China
- Baise Key Laboratory for Research and Development on Clinical Molecular Diagnosis for High-Incidence Diseases, Baise, Guangxi, China
- Key Laboratory of Research on Clinical Molecular Diagnosis for High Incidence Diseases in Western Guangxi, Baise, Guangxi, China
| | - Xuebin Li
- Modern Industrial College of Biomedicine and Great Health, Youjiang Medical University for Nationalities, Baise, Guangxi, China
| | - Guijiang Wei
- Center for Medical Laboratory Science, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China
- Baise Key Laboratory for Research and Development on Clinical Molecular Diagnosis for High-Incidence Diseases, Baise, Guangxi, China
- Key Laboratory of Research on Clinical Molecular Diagnosis for High Incidence Diseases in Western Guangxi, Baise, Guangxi, China
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