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Rezaei MJ, Eidi M, Mirhosseini SA, Kazemi R, Motamedi MJ, Khani S, Amani J. Design of ELISA-based diagnostic system for detection of enterohaemorrhagic Escherichia coli. IRANIAN JOURNAL OF MICROBIOLOGY 2025; 17:278-286. [PMID: 40337678 PMCID: PMC12053411 DOI: 10.18502/ijm.v17i2.18388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 05/09/2025]
Abstract
Background and Objectives Escherichia coli (E. coli) O157:H7 is an intestinal pathogen of humans and animals, which causes serious gastrointestinal, urinary tract infection and hemolytic uremic syndrome. Connecting to the host cell is important in pathogenesis. EspA, Intimin and Tir proteins (EIT) are the most important bacterial features in the process of binding. These antigens can be very useful in detecting these bacteria. The aim of this study was to produce recombinant EspA, Intimin and Tir proteins (rEIT) to detect pathogenic E. coli O157:H7 by means of ELISA method. Materials and Methods The eit recombinant gene was expressed using IPTG in E. coli BL21 (DE3) and evaluated by western blotting. The purified rEIT protein was injected to rabbits and mice subcutaneously. Purified antibody was evaluated using indirect, competitive and sandwich ELISA confirming the precise detection of E. coli O157: H7. Results Indirect, competitive and sandwich ELISA specifically detected E. coli O157:H7 and each methods had the ability to identify more than 104, 104, 103 bacteria. The specificity of this method was evaluated by Entroheamoragic E. coli, enterotoxygenic E. coli, Klebsiella pneumoniae, Vibrio cholera and Acinetobacter. Conclusion These methods are the fastest, most accurate and cost effective methods for diagnosis of E. coli O157: H7, comparing to the conventional methods.
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Affiliation(s)
- Mohammad Javad Rezaei
- Applied Microbiology Research Center, Biomedicine Technologies Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Maryam Eidi
- Department of Genetics and Biotechnology, School of Biological Science, Varamin-Pishva, Branch Islamic Azad University, Varamin, Iran
| | - Seyed Ali Mirhosseini
- Applied Microbiology Research Center, Biomedicine Technologies Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Rouhollah Kazemi
- Department of Molecular Biology, Green Gene Company, Tehran, Iran
| | | | - Soghra Khani
- Department of Biochemistry, Pasteur Institute of Iran, Tehran, Iran
| | - Jafar Amani
- Applied Microbiology Research Center, Biomedicine Technologies Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
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2
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Saldaña-Ahuactzi Z, Gutiérrez-Flores JH, Luna-Pineda VM, Cortés-Sarabia K, Avelino-Flores F, Orduña-Díaz A. Development and Characterization of a Polyvalent Polyclonal Antibody as a Common Capture Antibody for the Detection of Enterotoxigenic Escherichia coli in a Sandwich ELISA. Curr Microbiol 2025; 82:177. [PMID: 40053185 DOI: 10.1007/s00284-025-04154-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2024] [Accepted: 02/23/2025] [Indexed: 03/20/2025]
Abstract
Due to its low cost and simplicity, the sandwich enzyme-linked immunosorbent assay (sELISA) is a traditional technique for identifying foodborne pathogens. However, most sELISAs are designed for single foodborne pathogen detection using two specific antibodies, which capture and detect the target bacteria. This study aimed to produce and characterize a common capture polyclonal antibody for Enterotoxigenic Escherichia coli (ETEC), Salmonella Typhimurium, and Shigella flexneri (S. flexneri) by a sELISA. Rabbit polyclonal antibodies (pAbs) were generated against recombinant proteins of CsgA, FhuA, and OmpA, which we called anti-mix. The recombinant proteins generated are conserved in Escherichia coli (E. coli), Salmonella enterica serovar Typhimurium, and S. flexneri species, but not in Listeria monocytogenes (L. monocytogenes) and Enterococcus faecalis (E. faecalis). The anti-mix serum gave a title higher than 1:32,000 by an indirect ELISA using purified recombinant proteins and whole bacteria cultures of the bacteria expressing the antigens but failed to recognize L. monocytogenes and E. faecalis. In addition, a recombinant protein A was purified and used to orient the capture antibodies (anti-mix) in the sELISA. However, no statistically significant difference was found in the assay sensitivity for ETEC detection in spiked milk samples with or without protein A. The assay linearity of sELISA for ETEC detection in Phosphate-buffered saline (PBS) was from 1 × 108 to 1 × 104 cells/mL, and for spiked milk samples was 1 × 108 to 1 × 105 cells/mL. In spiked milk samples, the detection limit of ETEC was lower than PBS, which suggests a negative effect from the matrix analyzed (milk) compared to PBS.
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Affiliation(s)
- Zeus Saldaña-Ahuactzi
- Centro de Investigación en Biotecnología Aplicada del Instituto Politecnico Nacional, Ex-Hacienda San Juan Molino Carretera Estatal Tecuexcomac-Tepetitla Km 1.5, 90700, Tlaxcala, Mexico.
| | - José H Gutiérrez-Flores
- Centro de Investigación en Biotecnología Aplicada del Instituto Politecnico Nacional, Ex-Hacienda San Juan Molino Carretera Estatal Tecuexcomac-Tepetitla Km 1.5, 90700, Tlaxcala, Mexico
| | - Victor M Luna-Pineda
- Laboratorio de Investigación en Patógenos Respiratorios, Hospital Infantil de México Federico Gómez, 06720, Mexico City, Mexico
| | - Karen Cortés-Sarabia
- Laboratorio de Inmunobiológia y Diagnóstico Molecular, Facultad de Ciencias Químico-Biológicas, Universidad Autónoma de Guerrero, 39030, Chilpancingo, Guerrero, Mexico
| | - Fabiola Avelino-Flores
- Centro de Investigaciones en Ciencias Microbiológicas, Instituto de Ciencias, Benemérita Universidad Autónoma de Puebla, 72570, Puebla, Mexico
| | - Abdú Orduña-Díaz
- Centro de Investigación en Biotecnología Aplicada del Instituto Politecnico Nacional, Ex-Hacienda San Juan Molino Carretera Estatal Tecuexcomac-Tepetitla Km 1.5, 90700, Tlaxcala, Mexico.
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3
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Paramithiotis S. Molecular Targets for Foodborne Pathogenic Bacteria Detection. Pathogens 2023; 12:pathogens12010104. [PMID: 36678453 PMCID: PMC9865778 DOI: 10.3390/pathogens12010104] [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: 11/30/2022] [Revised: 12/30/2022] [Accepted: 01/04/2023] [Indexed: 01/11/2023] Open
Abstract
The detection of foodborne pathogenic bacteria currently relies on their ability to grow on chemically defined liquid and solid media, which is the essence of the classical microbiological approach. Such procedures are time-consuming and the quality of the result is affected by the selectivity of the media employed. Several alternative strategies based on the detection of molecular markers have been proposed. These markers may be cell constituents, may reside on the cell envelope or may be specific metabolites. Each marker provides specific advantages and, at the same time, suffers from specific limitations. The food matrix and chemical composition, as well as the accompanying microbiota, may also severely compromise detection. The aim of the present review article is to present and critically discuss all available information regarding the molecular targets that have been employed as markers for the detection of foodborne pathogens. Their strengths and limitations, as well as the proposed alleviation strategies, are presented, with particular emphasis on their applicability in real food systems and the challenges that are yet to be effectively addressed.
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Affiliation(s)
- Spiros Paramithiotis
- Laboratory of Food Process Engineering, Department of Food Science and Human Nutrition, Agricultural University of Athens, 75 Iera Odos St., 11855 Athens, Greece
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4
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Khemthongcharoen N, Uawithya P, Yookong N, Chanasakulniyom M, Jeamsaksiri W, Sripumkhai W, Pattamang P, Juntasaro E, Kamnerdsook A, Houngkamhang N, Promptmas C. A simple and high -performance immobilization technique of membrane protein from crude cell lysate sample for a membrane-based immunoassay application. J Immunoassay Immunochem 2023; 44:76-89. [PMID: 36318041 DOI: 10.1080/15321819.2022.2137420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Membrane proteins are difficult to be extracted and to be coated on the substrate of the immunoassay reaction chamber because of their hydrophobicity. Traditional method to prepare membrane protein sample requires many steps of protein extraction and purification that may lead to protein structure deformation and protein dysfunction. This work proposes a simple technique to prepare and immobilize the membrane protein suspended in an unprocessed crude cell lysate sample. Membrane fractions in crude cell lysate were incorporated with the large unilamellar vesicle (LUV) that was mainly composed of POPC (1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine) before coating in the polystyrene plate by passive adsorption technique. Immunofluorescence staining and the Enzyme-Linked Immunosorbent Assay (ELISA) examination of a strictly conformation-dependent integral membrane protein, Myelin Oligodendrocyte Glycoprotein (MOG), demonstrate that LUV incorporated cell lysate sample obviously promotes MOG protein immobilization in the microplate well. With LUV incorporation, the dose-response curve of the MOG transfected cell lysate coating plate can be 2-9 times differentiated from that of the untransfected cell lysate coating plate. The LUV incorporated MOG transfected cell lysate can be efficiently coated in the microplate without carbonate/bicarbonate coating buffer assistance.
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Affiliation(s)
- Numfon Khemthongcharoen
- Department of Biomedical Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom, Thailand.,NECTEC, National Science and Technology Development Agency (NSTDA), Pathumthani, Thailand
| | - Panapat Uawithya
- Department of Physiology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Nutthapon Yookong
- Department of Physiology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Mayuree Chanasakulniyom
- Department of Clinical Chemistry, Faculty of Medical Technology, Mahidol University, Bangkok, Thailand.,Center for Standardization and Product Validation, Faculty of Medical Technology, Mahidol University, Bangkok, Thailand
| | - Wutthinan Jeamsaksiri
- Thai Microelectronics Center (TMEC), NECTEC, National Science and Technology Development Agency (NSTDA), Chachoengsao, Thailand
| | - Witsaroot Sripumkhai
- Thai Microelectronics Center (TMEC), NECTEC, National Science and Technology Development Agency (NSTDA), Chachoengsao, Thailand
| | - Pattaraluck Pattamang
- Thai Microelectronics Center (TMEC), NECTEC, National Science and Technology Development Agency (NSTDA), Chachoengsao, Thailand
| | - Ekachai Juntasaro
- Mechanical Engineering Simulation and Design Group, The Sirindhorn International Thai-German Graduate School of Engineering (TGGS), King Mongkut's University of Technology North Bangkok (KMUTNB), Bangkok, Thailand
| | - Ampol Kamnerdsook
- Thai Microelectronics Center (TMEC), NECTEC, National Science and Technology Development Agency (NSTDA), Chachoengsao, Thailand.,Mechanical Engineering Simulation and Design Group, The Sirindhorn International Thai-German Graduate School of Engineering (TGGS), King Mongkut's University of Technology North Bangkok (KMUTNB), Bangkok, Thailand
| | - Nongluck Houngkamhang
- College of Materials Innovation and Technology, King Mongkut's Institute of Technology Ladkrabang (KMITL), Bangkok, Thailand
| | - Chamras Promptmas
- Department of Biomedical Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom, Thailand
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5
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Meng J, Shen H, Chen J, Shen X, Xu Z, Wang J, Liu Y, Xu ZL. Development of Cu-doped CeO 2 nanospheres mimic nanozyme-based immunoassay for the specific screening of Bacillus cereus. Mikrochim Acta 2022; 189:312. [PMID: 35920920 DOI: 10.1007/s00604-022-05415-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 07/10/2022] [Indexed: 11/27/2022]
Abstract
Due to the highly similar genetic background, it is difficult to distinguish Bacillus cereus (B. cereus) with other members of B. cereus group. Herein, an antibody-based colorimetric immunoassay using Cu-doped CeO2 nanospheres as peroxidase mimics was developed for the detection of B. cereus in food. First, monoclonal antibodies (mAbs) and polyclonal antibody (pAb) with good specificity to B. cereus were prepared and characterized. Second, the regular-shaped hollow Cu/CeO2 nanospheres with highly catalytic activity and biocompatibility were synthesized as mimic nanozymes to capture secondary antibody. Finally, a sandwich colorimetric immunoassay for the specific and sensitive detection of B. cereus was developed, showing linear detection range from 3.2 × 102 to 1 × 105 CFU/mL and a limit detection of 1.7 × 102 CFU/mL. The developed immunoassay holds great potential as an effective tool for detecting B. cereus in food poisoning.
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Affiliation(s)
- Jingnan Meng
- Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou, 510642, China
- Key Laboratory for Biobased Materials and Energy of Ministry of Education, College of Materials and Energy, South China Agricultural University, Guangzhou, 510642, China
| | - Haoran Shen
- Key Laboratory for Biobased Materials and Energy of Ministry of Education, College of Materials and Energy, South China Agricultural University, Guangzhou, 510642, China
| | - Jialin Chen
- Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou, 510642, China
| | - Xing Shen
- Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou, 510642, China
| | - Zeke Xu
- Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou, 510642, China
| | - Juan Wang
- Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou, 510642, China
| | - Yingju Liu
- Key Laboratory for Biobased Materials and Energy of Ministry of Education, College of Materials and Energy, South China Agricultural University, Guangzhou, 510642, China.
| | - Zhen-Lin Xu
- Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou, 510642, China.
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6
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Güven E, Azizoglu RO. The Recent Original Perspectives on Nonculture-Based Bacteria Detection Methods: A Comprehensive Review. Foodborne Pathog Dis 2022; 19:425-440. [DOI: 10.1089/fpd.2021.0078] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Ece Güven
- Department of Gene and Cell Therapy and Mediterranean (Akdeniz) University, Antalya, Turkey
| | - Reha Onur Azizoglu
- Department of Gene and Cell Therapy and Mediterranean (Akdeniz) University, Antalya, Turkey
- Department of Food Engineering, Mediterranean (Akdeniz) University, Antalya, Turkey
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7
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Rapid Detection of Escherichia coli O157:H7 by Loop-Mediated Isothermal Amplification Coupled with a Lateral Flow Assay Targeting the z3276 Genetic Marker. FOOD ANAL METHOD 2021. [DOI: 10.1007/s12161-021-02172-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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8
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Huang F, Zhang Y, Lin J, Liu Y. Biosensors Coupled with Signal Amplification Technology for the Detection of Pathogenic Bacteria: A Review. BIOSENSORS 2021; 11:190. [PMID: 34207580 PMCID: PMC8227973 DOI: 10.3390/bios11060190] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 06/04/2021] [Accepted: 06/06/2021] [Indexed: 12/18/2022]
Abstract
Foodborne disease caused by foodborne pathogens is a very important issue in food safety. Therefore, the rapid screening and sensitive detection of foodborne pathogens is of great significance for ensuring food safety. At present, many research works have reported the application of biosensors and signal amplification technologies to achieve the rapid and sensitive detection of pathogenic bacteria. Thus, this review summarized the use of biosensors coupled with signal amplification technology for the detection of pathogenic bacteria, including (1) the development, concept, and principle of biosensors; (2) types of biosensors, such as electrochemical biosensors, optical biosensors, microfluidic biosensors, and so on; and (3) different kinds of signal amplification technologies applied in biosensors, such as enzyme catalysis, nucleic acid chain reaction, biotin-streptavidin, click chemistry, cascade reaction, nanomaterials, and so on. In addition, the challenges and future trends for pathogenic bacteria based on biosensor and signal amplification technology were also discussed and summarized.
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Affiliation(s)
- Fengchun Huang
- Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China;
| | - Yingchao Zhang
- College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China; (Y.Z.); (J.L.)
| | - Jianhan Lin
- College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China; (Y.Z.); (J.L.)
| | - Yuanjie Liu
- College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China; (Y.Z.); (J.L.)
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9
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Xia J, Qiu S, Zeng H, Liu C, Liu Q. A rapid detection of
Escherichia coli
O157
:
H7
by competition visual antigen macroarray. J Food Saf 2020. [DOI: 10.1111/jfs.12872] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Affiliation(s)
- Junfang Xia
- School of Medical Instrument and Food Engineering University of Shanghai for Science and Technology Shanghai China
- College of Food Science and Pharmacy Xinjiang Agricultural University Urumqi China
| | - Shi Qiu
- School of Medical Instrument and Food Engineering University of Shanghai for Science and Technology Shanghai China
| | - Haijuan Zeng
- School of Medical Instrument and Food Engineering University of Shanghai for Science and Technology Shanghai China
| | - Cheng Liu
- School of Medical Instrument and Food Engineering University of Shanghai for Science and Technology Shanghai China
| | - Qing Liu
- School of Medical Instrument and Food Engineering University of Shanghai for Science and Technology Shanghai China
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10
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Development and validation of immunoassay for whole cell detection of Brucella abortus and Brucella melitensis. Sci Rep 2020; 10:8543. [PMID: 32444793 PMCID: PMC7244763 DOI: 10.1038/s41598-020-65347-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Accepted: 03/16/2020] [Indexed: 01/30/2023] Open
Abstract
Brucella is alpha-2 Proteobacteria mainly responsible for multi-factorial bacterial zoonotic disease brucellosis with low concentration (10–100 CFU) required to establish the infection. In this study, we developed sandwich ELISA with detection range of 102 to 108 cells mL−1 and limit of detection at 103 cells mL−1 by employing polyclonal rabbit IgG (capture antibody, 10 µg mL−1) and mice IgG (detection antibody, 50 µg mL−1) antibody for its detection. Surface Plasmon Resonance evaluated the interaction of detection antibody with whole cell spiked serum samples at LOD of 102 cells mL−1 along with non co-operative interaction of protein albumin. Further, kinetic evaluation study using detection antibody against cell envelope antigen was performed whereby, Equilibrium Dissociation Constant (KD) and Maximum Binding Capacity (Bmax) were found to be 16.48 pM and 81.67 m° for Brucella abortus S99 and 0.42 pM and 54.50 m° for Brucella melitensis 16 M, respectively. During interference study, sandwich ELISA assay cross-reacted with either of the polyclonal antibody of above Brucella species. Upon validation, no cross-reactivity observed with bacteria-closely related to Brucella. In conclusion, developed semi-quantitative sandwich immunoassay is sensitively rapid in whole cell detection of Brucella and will be useful in development of detection assays from environmental and clinical matrices.
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11
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Wang L, Xue L, Guo R, Zheng L, Wang S, Yao L, Huo X, Liu N, Liao M, Li Y, Lin J. Combining impedance biosensor with immunomagnetic separation for rapid screening of Salmonella in poultry supply chains. Poult Sci 2020; 99:1606-1614. [PMID: 32111327 PMCID: PMC7587860 DOI: 10.1016/j.psj.2019.12.007] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Indexed: 12/28/2022] Open
Abstract
Salmonella screening is a key to ensure food safety in poultry supply chains. Currently available Salmonella detection methods including culture, polymerase chain reaction and enzyme-linked immuno-sorbent assay could not achieve rapid, sensitive, and in-field detection. In this study, different strategies for separation and detection of Salmonella were proposed, compared, and improved based on our previous studies on immunomagnetic separation and impedance biosensor. First, the coaxial capillary for immunomagnetic separation of target bacteria was improved with less contamination, and 3 strategies based on the improved capillary and immunomagnetic nanoparticles were compared to separate the target bacteria from sample and form the magnetic bacteria. The experimental results showed that the strategy of capture in tube and separation in capillary was the most suitable with separation efficiency of approximately 88%. Then, the immune gold nanoparticles coated with urease were used to label the magnetic bacteria, resulting in the formation of enzymatic bacteria, which were injected into the capillary. After the urea was catalyzed by the urease on the enzymatic bacteria in the capillary, different electrodes were compared to measure the impedance of the catalysate and the screen-printed electrode with higher sensitivity and better stability was the most suitable. This impedance biosensor-based bacterial detection strategy was able to detect Salmonella as low as 102 CFU/mL in 2 h without complex operations. Compared to the gold standard culture method for practical screening of Salmonella in poultry supply chains, this proposed strategy had an accuracy of approximately 90% for 75 real poultry samples.
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Affiliation(s)
- Lei Wang
- Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing 100083, China
| | - Li Xue
- Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing 100083, China
| | - Ruya Guo
- Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing 100083, China
| | - Lingyan Zheng
- Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing 100083, China
| | - Siyuan Wang
- Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing 100083, China
| | - Lan Yao
- Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing 100083, China
| | - Xiaoting Huo
- Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing 100083, China
| | - Ning Liu
- Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing 100083, China
| | - Ming Liao
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
| | - Yanbin Li
- Department of Biological and Agricultural Engineering, University of Arkansas, Fayetteville, AR 72701
| | - Jianhan Lin
- Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing 100083, China.
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12
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Chen ZG, Zhong HX, Luo H, Zhang RY, Huang JR. Recombinase Polymerase Amplification Combined with Unmodified Gold Nanoparticles for Salmonella Detection in Milk. FOOD ANAL METHOD 2018. [DOI: 10.1007/s12161-018-1351-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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13
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Huang F, Zhang H, Wang L, Lai W, Lin J. A sensitive biosensor using double-layer capillary based immunomagnetic separation and invertase-nanocluster based signal amplification for rapid detection of foodborne pathogen. Biosens Bioelectron 2017; 100:583-590. [PMID: 29032045 DOI: 10.1016/j.bios.2017.10.005] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2017] [Revised: 09/23/2017] [Accepted: 10/02/2017] [Indexed: 01/01/2023]
Abstract
Combining double-layer capillary based high gradient immunomagnetic separation, invertase-nanocluster based signal amplification and glucose meter based signal detection, a novel biosensor was developed for sensitive and rapid detection of E. coli O157:H7 in this study. The streptavidin modified magnetic nanobeads (MNBs) were conjugated with the biotinylated polyclonal antibodies against E. coli O157:H7 to form the immune MNBs, which were captured by the high gradient magnetic field in the double-layer capillary to specifically separate and efficiently concentrate the target bacteria. Calcium chloride was used with the monoclonal antibodies against E. coli O157:H7 and the invertase to form the immune invertase-nanoclusters (INCs), which were used to react with the target bacteria to form the MNB-bacteria-INC complexes in the capillary. The sucrose was then injected into the capillary and catalyzed by the invertase on the complexes into the glucose, which was detected using the glucose meter to obtain the concentration of the glucose for final determination of the E. coli O157:H7 cells in the sample. A linear relationship between the readout of the glucose meter and the concentration of the E. coli O157:H7 cells (from 102 to 107 CFU/mL) was found and the lower detection limit of this biosensor was 79 CFU/mL. This biosensor might be extended for the detection of other foodborne pathogens by changing the antibodies and has shown the potential for the detection of foodborne pathogens in a large volume of sample to further increase the sensitivity.
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Affiliation(s)
- Fengchun Huang
- Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture, China Agricultural University, 17 East Qinghua Road, Beijing 100083, China
| | - Huilin Zhang
- Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture, China Agricultural University, 17 East Qinghua Road, Beijing 100083, China
| | - Lei Wang
- Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture, China Agricultural University, 17 East Qinghua Road, Beijing 100083, China
| | - Weihua Lai
- State Key Laboratory of Food Science and Technology, Nanchang University, 235 Nanjing East Road, Nanchang 330047, China
| | - Jianhan Lin
- Key Laboratory on Modern Precision Agriculture System Integration Research, Ministry of Education, China Agricultural University, 17 East Qinghua Road, Beijing 100083, China.
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14
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Li L, Chen Z, Wang S, Jin X, Yang L, Liu G, Zhao J. Highly selective detection of Escherichia coli O157:H7 based on micro-gapped interdigitated electrode arrays. BIOTECHNOL BIOTEC EQ 2017. [DOI: 10.1080/13102818.2017.1335178] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Affiliation(s)
- Le Li
- Key Laboratory of Nanobiological Technology of Chinese Ministry of Health, Xiangya Hospital, Central South University, Changsha, P. R. China
| | - Zhaochangchi Chen
- Department of Clinical Medicine, Xinxiang Medical University, Xinxiang, P. R. China
| | - Shujuan Wang
- Center of System Biomedical Sciences, School of Medical Instrument and Food Engineering, University of Shanghai for Science & Technology, Shanghai, P. R. China
| | - Xin Jin
- Key Laboratory of Nanobiological Technology of Chinese Ministry of Health, Xiangya Hospital, Central South University, Changsha, P. R. China
| | - Lixia Yang
- Department of Scientific Research, Changsha Institute for Food and Drug Control, Changsha, P. R. China
| | - Guangyao Liu
- Hunan Yuantai Biotechnology Co. Ltd., Changsha, PR China
| | - Jinfeng Zhao
- Key Laboratory of Nanobiological Technology of Chinese Ministry of Health, Xiangya Hospital, Central South University, Changsha, P. R. China
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15
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He S, Hong X, Huang T, Zhang W, Zhou Y, Wu L, Yan X. Rapid quantification of live/dead lactic acid bacteria in probiotic products using high-sensitivity flow cytometry. Methods Appl Fluoresc 2017; 5:024002. [DOI: 10.1088/2050-6120/aa64e4] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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