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Xiang X, Xing G, Liu Y, Wen Q, Wei Y, Lu J, Chen Y, Ji Y, Chen S, Liu T, Shang Y. Immunomagnetic Separation Combined with RCA-CRISPR/Cas12a for the Detection of Salmonella typhimurium on a Figure-Actuated Microfluidic Biosensor. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2023; 71:13518-13526. [PMID: 37658470 DOI: 10.1021/acs.jafc.3c03799] [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: 09/03/2023]
Abstract
A figure-actuated microfluidic biosensor was developed for the rapid and sensitive detection of Salmonella typhimurium using immunomagnetic separation to separate target bacteria and rolling circle amplification (RCA) combined with CRISPR/Cas12a to amplify the detection signal. The magnetic nanoparticles (MNPs) modified with the capture antibodies (MNPs@Ab1) and RCA primer linked with recognized antibodies (primer@Ab2) were first used to react with S. typhimurium, resulting in the formation of MNPs@Ab1-S. typhimurium-primer@Ab2 complexes. Then, the RCA and CRISPR/Cas12a reagents were successively pumped into the chamber and incubated at the appropriate conditions. With the help of a 3D-printed signal detector, the fluorescence signal was collected and analyzed using the smartphone APP for the determination of bacterial concentration. This biosensor exhibited a wide linear range for the detection of S. typhimurium with a low limit of detection of 1.93 × 102 CFU/mL and a mean recovery of about 106% in the spiked milk sample.
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Affiliation(s)
- Xinran Xiang
- Jiangsu Key Laboratory for Food Safety & Nutrition Function Evaluation, Jiangsu Collaborative Innovation Center of Regional Modern Agriculture & Environmental Protection, Jiangsu Key Laboratory for Eco-Agricultural Biotechnology Around Hongze Lake, School of Life Science, Huaiyin Normal University, Huai'an 223300, China
| | - Gaowa Xing
- Xining Urban Vocational & Technical College, Xining 810000, China
| | - Yuting Liu
- Jiangsu Key Laboratory for Food Safety & Nutrition Function Evaluation, Jiangsu Collaborative Innovation Center of Regional Modern Agriculture & Environmental Protection, Jiangsu Key Laboratory for Eco-Agricultural Biotechnology Around Hongze Lake, School of Life Science, Huaiyin Normal University, Huai'an 223300, China
| | - Qianyu Wen
- Jiangsu Key Laboratory for Food Safety & Nutrition Function Evaluation, Jiangsu Collaborative Innovation Center of Regional Modern Agriculture & Environmental Protection, Jiangsu Key Laboratory for Eco-Agricultural Biotechnology Around Hongze Lake, School of Life Science, Huaiyin Normal University, Huai'an 223300, China
| | - Yuhuan Wei
- Jiangsu Key Laboratory for Food Safety & Nutrition Function Evaluation, Jiangsu Collaborative Innovation Center of Regional Modern Agriculture & Environmental Protection, Jiangsu Key Laboratory for Eco-Agricultural Biotechnology Around Hongze Lake, School of Life Science, Huaiyin Normal University, Huai'an 223300, China
| | - Jiaran Lu
- Jiangsu Key Laboratory for Food Safety & Nutrition Function Evaluation, Jiangsu Collaborative Innovation Center of Regional Modern Agriculture & Environmental Protection, Jiangsu Key Laboratory for Eco-Agricultural Biotechnology Around Hongze Lake, School of Life Science, Huaiyin Normal University, Huai'an 223300, China
| | - Yuanyuan Chen
- Jiangsu Key Laboratory for Food Safety & Nutrition Function Evaluation, Jiangsu Collaborative Innovation Center of Regional Modern Agriculture & Environmental Protection, Jiangsu Key Laboratory for Eco-Agricultural Biotechnology Around Hongze Lake, School of Life Science, Huaiyin Normal University, Huai'an 223300, China
| | - Yuhan Ji
- Jiangsu Key Laboratory for Food Safety & Nutrition Function Evaluation, Jiangsu Collaborative Innovation Center of Regional Modern Agriculture & Environmental Protection, Jiangsu Key Laboratory for Eco-Agricultural Biotechnology Around Hongze Lake, School of Life Science, Huaiyin Normal University, Huai'an 223300, China
| | - Shuhan Chen
- School of Life Sciences, Nanjing Normal University, Nanjing 210023, China
| | - Tingting Liu
- Jiangsu Key Laboratory for Food Safety & Nutrition Function Evaluation, Jiangsu Collaborative Innovation Center of Regional Modern Agriculture & Environmental Protection, Jiangsu Key Laboratory for Eco-Agricultural Biotechnology Around Hongze Lake, School of Life Science, Huaiyin Normal University, Huai'an 223300, China
| | - Yuting Shang
- Department of Chemistry, Tsinghua University, Beijing 100084, PR China
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Jiao J, Liu Y, Yang M, Zheng J, Liu C, Ye W, Song S, Bai T, Song C, Wang M, Shi J, Wan R, Zhang K, Hao P, Feng J, Zheng X. The engineered CRISPR-Mb2Cas12a variant enables sensitive and fast nucleic acid-based pathogens diagnostics in the field. PLANT BIOTECHNOLOGY JOURNAL 2023. [PMID: 37069831 DOI: 10.1111/pbi.14051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 03/01/2023] [Accepted: 03/27/2023] [Indexed: 06/19/2023]
Abstract
Existing CRISPR/Cas12a-based diagnostic platforms offer accurate and vigorous monitoring of nucleic acid targets, but have the potential to be further optimized for more efficient detection. Here, we profiled 16 Cas12a orthologs, focusing on their trans-cleavage activity and their potential as diagnostic enzymes. We observed the Mb2Cas12a has more robust trans-cleavage activity than other orthologs, especially at lower temperatures. An engineered Mb2Cas12a-RRVRR variant presented robust trans-cleavage activity and looser PAM constraints. Moreover, we found the existing one-pot assay, which simultaneously performed Recombinase Polymerase Amplification (RPA) and Cas12a reaction in one system, resulted in the loss of single-base discrimination during diagnosis. Therefore, we designed a reaction vessel that physically separated the RPA and Cas12a steps while maintaining a closed system. This isolated but closed system made diagnostics more sensitive and specific and effectively prevented contamination. This shelved Mb2Cas12a-RRVRR variant-mediated assay detected various targets in less than 15 min and exhibited equal or greater sensitivity than qPCR when detecting bacterial pathogens, plant RNA viruses and genetically modified crops. Overall, our findings further improved the efficiency of the current CRISPR-based diagnostic system and undoubtedly have great potential for highly sensitive and specific detection of multiple sample types.
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Affiliation(s)
- Jian Jiao
- College of Horticulture, Henan Agricultural University, Zhengzhou, China
- Henan Key Laboratory of Fruit and Cucurbit Biology, Zhengzhou, China
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, Shandong, China
| | - Yiqi Liu
- College of Horticulture, Henan Agricultural University, Zhengzhou, China
| | - Mengli Yang
- College of Horticulture, Henan Agricultural University, Zhengzhou, China
| | - Jingcheng Zheng
- College of Horticulture, Henan Agricultural University, Zhengzhou, China
| | - Chonghuai Liu
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China
| | - Wenxiu Ye
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, Shandong, China
| | - Shangwei Song
- College of Horticulture, Henan Agricultural University, Zhengzhou, China
| | - Tuanhui Bai
- College of Horticulture, Henan Agricultural University, Zhengzhou, China
| | - Chunhui Song
- College of Horticulture, Henan Agricultural University, Zhengzhou, China
| | - Miaomiao Wang
- College of Horticulture, Henan Agricultural University, Zhengzhou, China
| | - Jiangli Shi
- College of Horticulture, Henan Agricultural University, Zhengzhou, China
| | - Ran Wan
- College of Horticulture, Henan Agricultural University, Zhengzhou, China
| | - Kunxi Zhang
- College of Horticulture, Henan Agricultural University, Zhengzhou, China
| | - Pengbo Hao
- College of Horticulture, Henan Agricultural University, Zhengzhou, China
| | - Jiancan Feng
- College of Horticulture, Henan Agricultural University, Zhengzhou, China
| | - Xianbo Zheng
- College of Horticulture, Henan Agricultural University, Zhengzhou, China
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CRISPR/Cas technology: Opportunities for phytopathogenic viruses detection. J Biotechnol 2022; 360:211-217. [PMID: 36423792 DOI: 10.1016/j.jbiotec.2022.11.010] [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: 04/05/2022] [Revised: 10/22/2022] [Accepted: 11/17/2022] [Indexed: 11/23/2022]
Abstract
Detection and monitoring of viruses are essential for healthy plants and prosperity. Recent development in CRISPR/Cas system in diagnosis has open an avenue well suited for pathogen detection. Variety of CRISPR associated proteins are being discovered, suggesting array of application and detection strategies in diagnosis. Phytopathogenic viruses are diverse with respect to their nucleic acid compositions, which presents a challenge in developing a single device applicable for almost all viruses. The review describes about the efficient use of CRISPR/Cas Technology in diagnosis, such as SHERLOCK, DETECTR and SATORI. These methods are different in their characteristic to identify specific nucleic acids and processing the detectable signals. These technologies are in their infancy and lot of scope is there to develop commercial kits. Plant tissue culture-based industries, climate control green houses, indoor cultivation facilities etc. has been considered as few examples. This review will be beneficial for researchers seeking to develop detection mechanism based on CRISPR/Cas technology. The outcome in the form of cost-effective detection of viruses will be boon for agro-based industries, which are facing challenges through virus contamination.
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Das D, Lin CW, Chuang HS. LAMP-Based Point-of-Care Biosensors for Rapid Pathogen Detection. BIOSENSORS 2022; 12:bios12121068. [PMID: 36551035 PMCID: PMC9775414 DOI: 10.3390/bios12121068] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 11/20/2022] [Accepted: 11/21/2022] [Indexed: 06/01/2023]
Abstract
Seeking optimized infectious pathogen detection tools is of primary importance to lessen the spread of infections, allowing prompt medical attention for the infected. Among nucleic-acid-based sensing techniques, loop-mediated isothermal amplification is a promising method, as it provides rapid, sensitive, and specific detection of microbial and viral pathogens and has enormous potential to transform current point-of-care molecular diagnostics. In this review, the advances in LAMP-based point-of-care diagnostics assays developed during the past few years for rapid and sensitive detection of infectious pathogens are outlined. The numerous detection methods of LAMP-based biosensors are discussed in an end-point and real-time manner with ideal examples. We also summarize the trends in LAMP-on-a-chip modalities, such as classical microfluidic, paper-based, and digital LAMP, with their merits and limitations. Finally, we provide our opinion on the future improvement of on-chip LAMP methods. This review serves as an overview of recent breakthroughs in the LAMP approach and their potential for use in the diagnosis of existing and emerging diseases.
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Affiliation(s)
- Dhrubajyoti Das
- Department of Biomedical Engineering, National Cheng Kung University, Tainan 701, Taiwan
| | - Cheng-Wen Lin
- Department of Medical Laboratory Science and Biotechnology, China Medical University, Taichung 404, Taiwan
- Department of Medical Laboratory Science and Biotechnology, Asia University, Wufeng, Taichung 413, Taiwan
| | - Han-Sheng Chuang
- Department of Biomedical Engineering, National Cheng Kung University, Tainan 701, Taiwan
- Medical Device Innovation Center, National Cheng Kung University, Tainan 701, Taiwan
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Shang Y, Xing G, Liu X, Lin H, Lin JM. Fully Integrated Microfluidic Biosensor with Finger Actuation for the Ultrasensitive Detection of Escherichia coli O157:H7. Anal Chem 2022; 94:16787-16795. [DOI: 10.1021/acs.analchem.2c03686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Affiliation(s)
- Yuting Shang
- Beijing Key Laboratory of Microanalytical Methods and Instrumentation, Key Laboratory of Bioorganic Phosphorus Chemistry and Chemical Biology (Ministry of Education), Department of Chemistry, Tsinghua University, Beijing 100084, PR China
| | - Gaowa Xing
- Beijing Key Laboratory of Microanalytical Methods and Instrumentation, Key Laboratory of Bioorganic Phosphorus Chemistry and Chemical Biology (Ministry of Education), Department of Chemistry, Tsinghua University, Beijing 100084, PR China
| | - Xuejiao Liu
- Beijing Key Laboratory of Microanalytical Methods and Instrumentation, Key Laboratory of Bioorganic Phosphorus Chemistry and Chemical Biology (Ministry of Education), Department of Chemistry, Tsinghua University, Beijing 100084, PR China
| | - Haifeng Lin
- Beijing Key Laboratory of Microanalytical Methods and Instrumentation, Key Laboratory of Bioorganic Phosphorus Chemistry and Chemical Biology (Ministry of Education), Department of Chemistry, Tsinghua University, Beijing 100084, PR China
| | - Jin-Ming Lin
- Beijing Key Laboratory of Microanalytical Methods and Instrumentation, Key Laboratory of Bioorganic Phosphorus Chemistry and Chemical Biology (Ministry of Education), Department of Chemistry, Tsinghua University, Beijing 100084, PR China
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Liu J, Wu D, Chen J, Jia S, Chen J, Wu Y, Li G. CRISPR-Cas systems mediated biosensing and applications in food safety detection. Crit Rev Food Sci Nutr 2022; 64:2960-2985. [PMID: 36218189 DOI: 10.1080/10408398.2022.2128300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Food safety, closely related to economic development of food industry and public health, has become a global concern and gained increasing attention worldwide. Effective detection technology is of great importance to guarantee food safety. Although several classical detection methods have been developed, they have some limitations in portability, selectivity, and sensitivity. The emerging CRISPR-Cas systems, uniquely integrating target recognition specificity, signal transduction, and efficient signal amplification abilities, possess superior specificity and sensitivity, showing huge potential to address aforementioned challenges and develop next-generation techniques for food safety detection. In this review, we focus on recent progress of CRISPR-Cas mediated biosensing and their applications in food safety monitoring. The properties and principles of commonly used CRISPR-Cas systems are highlighted. Notably, the frequently coupled nucleic acid amplification strategies to enhance their selectivity and sensitivity, especially isothermal amplification methods, as well as various signal output modes are also systematically summarized. Meanwhile, the application of CRISPR-Cas systems-based biosensors in food safety detection including foodborne virus, foodborne bacteria, food fraud, genetically modified organisms (GMOs), toxins, heavy metal ions, antibiotic residues, and pesticide residues is comprehensively described. Furthermore, the current challenges and future prospects in this field are tentatively discussed.
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Affiliation(s)
- Jianghua Liu
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, China
| | - Di Wu
- Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast, UK
| | - Jiahui Chen
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, China
| | - Shijie Jia
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, China
| | - Jian Chen
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, China
| | - Yongning Wu
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, China
- NHC Key Laboratory of Food Safety Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing, China
| | - Guoliang Li
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, China
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Liu S, Zhao K, Huang M, Zeng M, Deng Y, Li S, Chen H, Li W, Chen Z. Research progress on detection techniques for point-of-care testing of foodborne pathogens. Front Bioeng Biotechnol 2022; 10:958134. [PMID: 36003541 PMCID: PMC9393618 DOI: 10.3389/fbioe.2022.958134] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 06/30/2022] [Indexed: 11/21/2022] Open
Abstract
The global burden of foodborne disease is enormous and foodborne pathogens are the leading cause of human illnesses. The detection of foodborne pathogenic bacteria has become a research hotspot in recent years. Rapid detection methods based on immunoassay, molecular biology, microfluidic chip, metabolism, biosensor, and mass spectrometry have developed rapidly and become the main methods for the detection of foodborne pathogens. This study reviewed a variety of rapid detection methods in recent years. The research advances are introduced based on the above technical methods for the rapid detection of foodborne pathogenic bacteria. The study also discusses the limitations of existing methods and their advantages and future development direction, to form an overall understanding of the detection methods, and for point-of-care testing (POCT) applications to accurately and rapidly diagnose and control diseases.
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Affiliation(s)
- Sha Liu
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China
| | - Kaixuan Zhao
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China
| | - Meiyuan Huang
- Zhuzhou Hospital Affiliated to Xiangya School of Medicine, Department of Pathology, Central South University, Zhuzhou, China
| | - Meimei Zeng
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China
| | - Yan Deng
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China
| | - Song Li
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China
| | - Hui Chen
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China
| | - Wen Li
- College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha, China
| | - Zhu Chen
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China
- *Correspondence: Zhu Chen,
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