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Zhuang L, Gong J, Zhang P, Zhang D, Zhao Y, Yang J, Liu G, Zhang Y, Shen Q. Research progress of loop-mediated isothermal amplification in the detection of Salmonella for food safety applications. DISCOVER NANO 2024; 19:124. [PMID: 39105889 PMCID: PMC11303641 DOI: 10.1186/s11671-024-04075-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 07/29/2024] [Indexed: 08/07/2024]
Abstract
Salmonella, the prevailing zoonotic pathogen within the Enterobacteriaceae family, holds the foremost position in global bacterial poisoning incidents, thereby signifying its paramount importance in public health. Consequently, the imperative for expeditious and uncomplicated detection techniques for Salmonella in food is underscored. After more than two decades of development, loop-mediated isothermal amplification (LAMP) has emerged as a potent adjunct to the polymerase chain reaction, demonstrating significant advantages in the realm of isothermal amplification. Its growing prominence is evident in the increasing number of reports on its application in the rapid detection of Salmonella. This paper provides a systematic exposition of the technical principles and characteristics of LAMP, along with an overview of the research progress made in the rapid detection of Salmonella using LAMP and its derivatives. Additionally, the target genes reported in various levels, including Salmonella genus, species, serogroup, and serotype, are summarized, aiming to offer a valuable reference for the advancement of LAMP application in Salmonella detection. Finally, we look forward to the development direction of LAMP and expect more competitive methods to provide strong support for food safety applications.
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Affiliation(s)
- Linlin Zhuang
- School of Animal Husbandry and Veterinary Medicine, Jiangsu Vocational College of Agriculture and Forestry, Jurong, 212400, People's Republic of China
- State Key Laboratory of Digital Medical Engineering, Jiangsu Key Laboratory for Biomaterials and Devices, School of Biological Science and Medical Engineering and Basic Medicine Research and Innovation Center of Ministry of Education, Zhongda Hospital, Southeast University, Nanjing, 211102, People's Republic of China
| | - Jiansen Gong
- Poultry Institute, Chinese Academy of Agricultural Sciences, Yangzhou, 225125, People's Republic of China
| | - Ping Zhang
- Poultry Institute, Chinese Academy of Agricultural Sciences, Yangzhou, 225125, People's Republic of China
| | - Di Zhang
- Poultry Institute, Chinese Academy of Agricultural Sciences, Yangzhou, 225125, People's Republic of China
| | - Ying Zhao
- State Key Laboratory of Digital Medical Engineering, Jiangsu Key Laboratory for Biomaterials and Devices, School of Biological Science and Medical Engineering and Basic Medicine Research and Innovation Center of Ministry of Education, Zhongda Hospital, Southeast University, Nanjing, 211102, People's Republic of China
| | - Jianbo Yang
- School of Animal Husbandry and Veterinary Medicine, Jiangsu Vocational College of Agriculture and Forestry, Jurong, 212400, People's Republic of China
| | - Guofang Liu
- School of Animal Husbandry and Veterinary Medicine, Jiangsu Vocational College of Agriculture and Forestry, Jurong, 212400, People's Republic of China
| | - Yu Zhang
- State Key Laboratory of Digital Medical Engineering, Jiangsu Key Laboratory for Biomaterials and Devices, School of Biological Science and Medical Engineering and Basic Medicine Research and Innovation Center of Ministry of Education, Zhongda Hospital, Southeast University, Nanjing, 211102, People's Republic of China.
| | - Qiuping Shen
- School of Animal Husbandry and Veterinary Medicine, Jiangsu Vocational College of Agriculture and Forestry, Jurong, 212400, People's Republic of China.
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Qiao Y, Zhang Q, He Y, Cheng T, Tu J. A simple joint detection platform for high-throughput single-cell heterogeneity screening. Talanta 2024; 269:125460. [PMID: 38039667 DOI: 10.1016/j.talanta.2023.125460] [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] [Received: 02/19/2023] [Revised: 10/13/2023] [Accepted: 11/20/2023] [Indexed: 12/03/2023]
Abstract
Single cell heterogeneity plays an important role in many biological phenomena and distinguishing cells that exhibit certain mutation in sample could benefit clinical diagnose and drug screening. Typical single cell detection methods such as flow cytometry, in-situ hybridization, real-time amplification or sequencing test either protein or nucleic acid as target and usually require specialized instruments. Joint measurement of the both types of targets could be done by combining the above strategies precisely but also unwieldly. Methods for rapidly and parallelly screening single cells with target genotype and antigen is needed. In this study, we describe a gel plate platform to distinguish cell types based on their phenotypes on target gene and antigen with low equipment requirement. Integrated cell lysis and immobilization were done in the gel solidification step, after which antibody hybridization and real-time amplification were sequentially carried out without losing the original loci information of individual single cells so the three types of information of individual single cells could be combined to distinguished cells with expected genotype and phenotype. The easy-to-use gel platform has potential in point-of-care circumstances and single-cell stimulation response that have high requirements on efficiency and simplicity.
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Affiliation(s)
- Yi Qiao
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Qiongdan Zhang
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Yukun He
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Tianguang Cheng
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Jing Tu
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.
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Jin M, Ding J, Zhou Y, Chen J, Wang Y, Li Z. StratoLAMP: Label-free, multiplex digital loop-mediated isothermal amplification based on visual stratification of precipitate. Proc Natl Acad Sci U S A 2024; 121:e2314030121. [PMID: 38165933 PMCID: PMC10786297 DOI: 10.1073/pnas.2314030121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 12/05/2023] [Indexed: 01/04/2024] Open
Abstract
Multiplex, digital nucleic acid detections have important biomedical applications, but the multiplexity of existing methods is predominantly achieved using fluorescent dyes or probes, making the detection complicated and costly. Here, we present the StratoLAMP for label-free, multiplex digital loop-mediated isothermal amplification based on visual stratification of the precipitate byproduct. The StratoLAMP designates two sets of primers with different concentrations to achieve different precipitate yields when amplifying different nucleic acid targets. In the detection, deep learning image analysis is used to stratify the precipitate within each droplet and determine the encapsulated targets for nucleic acid quantification. We investigated the effect of the amplification reagents and process on the precipitate generation and optimized the assay conditions. We then implemented a deep-learning image analysis pipeline for droplet detection, achieving an overall accuracy of 94.3%. In the application, the StratoLAMP successfully achieved the simultaneous quantification of two nucleic acid targets with high accuracy. By eliminating the need for fluorescence, StratoLAMP represents a unique concept toward label-free, multiplex nucleic acid assays and an analytical tool with great cost-effectiveness.
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Affiliation(s)
- Meichi Jin
- Department of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen518060, China
| | - Jingyi Ding
- Department of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen518060, China
| | - Yu Zhou
- Department of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen518060, China
- Smart Medical Imaging, Learning and Engineering Lab, Department of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen518060, China
| | - Jiazhao Chen
- Department of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen518060, China
- Smart Medical Imaging, Learning and Engineering Lab, Department of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen518060, China
| | - Yi Wang
- Department of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen518060, China
- Smart Medical Imaging, Learning and Engineering Lab, Department of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen518060, China
| | - Zida Li
- Department of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen518060, China
- Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Department of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen518060, China
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