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Radomirović M, Gligorijević N, Rajković A. Immuno-PCR in the Analysis of Food Contaminants. Int J Mol Sci 2025; 26:3091. [PMID: 40243808 PMCID: PMC11988550 DOI: 10.3390/ijms26073091] [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: 02/17/2025] [Revised: 03/24/2025] [Accepted: 03/24/2025] [Indexed: 04/18/2025] Open
Abstract
Food safety is a significant issue of global concern. Consumer safety and government regulations drive the need for the accurate analysis of food contaminants, residues and other chemical constituents of concern. Traditional methods for the detection of food contaminants often present challenges, including lengthy processing times and food matrix interference; they often require expensive equipment, skilled personnel or have limitations in sensitivity or specificity. Developing novel analytical methods that are sensitive, specific, accurate and rapid is therefore crucial for ensuring food safety and the protection of consumers. The immuno-polymerase chain reaction (IPCR) method offers a promising solution in the analysis of food contaminants by combining the specificity of conventional immunological methods with the exponential sensitivity of PCR amplification. This review evaluates the current state of IPCR methods, describes a variety of existing IPCR formats and explores their application in the analysis of food contaminants, including pathogenic bacteria and their toxins, viruses, mycotoxins, allergens, polycyclic aromatic hydrocarbons, polychlorinated biphenyls, phthalic acid esters, pesticides, antibiotics and other food contaminants. Depending on the type of analyte, either sandwich or competitive format IPCR methods are predominantly used. This review also examines limitations of current IPCR methods and explores potential advancements for future implementation in the field of food safety.
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Affiliation(s)
- Mirjana Radomirović
- Center of Excellence for Molecular Food Sciences and Department of Biochemistry, University of Belgrade—Faculty of Chemistry, Studentski trg 12-16, 11000 Belgrade, Serbia
| | - Nikola Gligorijević
- Center for Chemistry, University of Belgrade—Institute of Chemistry, Technology and Metallurgy, National Institute of the Republic of Serbia, Njegoševa 12, 11000 Belgrade, Serbia;
| | - Andreja Rajković
- Ghent University, Faculty of Bioscience Engineering, Department of Food Technology, Safety and Health, Campus Coupure, Coupure Links 653, 9000 Ghent, Belgium
- Ghent University Global Campus, Ghent University, Yeonsu-gu, Incheon 406-840, Republic of Korea
- University of Belgrade—Faculty of Agriculture, Department of Food Safety and Quality Management, Nemanjina 6, 11080 Belgrade, Serbia
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Bisht B, Bhardwaj P, Chauhan S, Sagrika, Vedika, Basnal N, Bhalla V. Nanocatalysis of silver-nanobioprobe based supersensitive electrochemical detection of Salmonella serotypes targeting virulence protein. Biosens Bioelectron 2025; 268:116872. [PMID: 39489013 DOI: 10.1016/j.bios.2024.116872] [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: 08/01/2024] [Revised: 10/20/2024] [Accepted: 10/21/2024] [Indexed: 11/05/2024]
Abstract
Herein, we report a supersensitive and specific detection of Salmonella employing nanocatalysis of silver nanoparticle (AgNp). A nanobioprobe was developed employing specific antibody (Ab) that binds to a peptide present in transmembrane protein of Salmonella. We have studied 7 surface-exposed peptide hits from conserved virulence proteins (PagC, ST50, PagN, CdtB and FliC). These peptides were experimentally evaluated by BLI (Bio layer interferometry) for their reactivity towards antisera raised against an admix of major Salmonella serogroups. The most promising peptide was used to generate Ab with binding affinity Kd of 5.6 × 10-9 M. The Ab exhibited high specificity towards entire Salmonella serotypes prevalent in foods, as illustrated by FACS (Fluorescence-activated cell sorting) study. The Ab-AgNp probe was blocked with a dual layer to prevent non-specific interactions, confirmed by employing BLI and TEM (Transmission electron microscopy). For the electrochemical detection, the autonanocatalysis of AgNp in presence of H2O2 was used to generate numerous Ag+ resulting in an amplified signal that could detect 10 cells/mL. The relative standard deviation (RSD) was observed to be 4.5%. The platform achieved recovery of 100-112% calculated for 102 cells/mL. The performance was validated in milk, buffer peptone water (BPW) and tap water by spiking studies. The study highlights the effectiveness of efficiently blocked AgNp-mediated probes for the highly selective and sensitive detection of Salmonella, representing a significant advancement in bacterial sensing.
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Affiliation(s)
- Bhawana Bisht
- Institute of Microbial Technology (IMTECH), Council of Scientific and Industrial Research (CSIR), Chandigarh, 160036, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Priya Bhardwaj
- Institute of Microbial Technology (IMTECH), Council of Scientific and Industrial Research (CSIR), Chandigarh, 160036, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Sakshi Chauhan
- Institute of Microbial Technology (IMTECH), Council of Scientific and Industrial Research (CSIR), Chandigarh, 160036, India
| | - Sagrika
- Institute of Microbial Technology (IMTECH), Council of Scientific and Industrial Research (CSIR), Chandigarh, 160036, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Vedika
- Institute of Microbial Technology (IMTECH), Council of Scientific and Industrial Research (CSIR), Chandigarh, 160036, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Namita Basnal
- Institute of Microbial Technology (IMTECH), Council of Scientific and Industrial Research (CSIR), Chandigarh, 160036, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Vijayender Bhalla
- Institute of Microbial Technology (IMTECH), Council of Scientific and Industrial Research (CSIR), Chandigarh, 160036, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.
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3
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Carole NVD, Sheng L, Ji J, Zhang Y, Sun X. Multispectral pathogens detection in food using multiplex hyperbranched saltatory rolling circle amplification. Talanta 2024; 279:126618. [PMID: 39116729 DOI: 10.1016/j.talanta.2024.126618] [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: 04/21/2024] [Revised: 07/08/2024] [Accepted: 07/23/2024] [Indexed: 08/10/2024]
Abstract
Foodborne illnesses caused by Salmonella and Staphylococcus aureus are a significant public health concern, leading to societal and economic repercussions. It is important to develop a simple and straightforward bacteria detection and identification method. A triple-probe multiplex rolling circle amplification technique has been developed to simultaneously detect Salmonella Typhimurium and S. aureus. This method utilizes fluorophore-labeled long padlock probes targeting S. Typhimurium invA and S. aureus glnA specific genes, along with a pH-based detection approach for direct visual identification. The multiplex hyperbranched saltatory rolling circle amplification assay at 30 °C has showed promising results with synthetic targets within 30 min and real bacteria within 2 h after establishing the detection settings. The assay is specific for S. aureus and S. Typhimurium, with a limit of detection of 39 μM for fluorescence and 78 μM for colorimetric. In the simulative test of this method for the detection of S. Typhimurium and S. aureus in milk, the limit of detection for the fluorescence signal after 2 h of amplification was 10 CFU/mL and 5 CFU/mL, respectively. The detection method was evaluated to be stable enough to detect pathogen for 3.29 months. Consequently, this triple-probe-multiplex rolling circle amplification method displays notable specificity, sensitivity, as well as ease of interpretation when testing food samples for harmful pathogens.
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Affiliation(s)
- Nanfack V D Carole
- School of Food Science and Technology, International Joint Laboratory on Food Safety, Synergetic Innovation Center of Food Safety and Quality Control, Jiangnan University, Wuxi, Jiangsu, 214122, PR China
| | - Lina Sheng
- School of Food Science and Technology, International Joint Laboratory on Food Safety, Synergetic Innovation Center of Food Safety and Quality Control, Jiangnan University, Wuxi, Jiangsu, 214122, PR China
| | - Jian Ji
- School of Food Science and Technology, International Joint Laboratory on Food Safety, Synergetic Innovation Center of Food Safety and Quality Control, Jiangnan University, Wuxi, Jiangsu, 214122, PR China
| | - Yinzhi Zhang
- School of Food Science and Technology, International Joint Laboratory on Food Safety, Synergetic Innovation Center of Food Safety and Quality Control, Jiangnan University, Wuxi, Jiangsu, 214122, PR China
| | - Xiulan Sun
- School of Food Science and Technology, International Joint Laboratory on Food Safety, Synergetic Innovation Center of Food Safety and Quality Control, Jiangnan University, Wuxi, Jiangsu, 214122, PR China.
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Ndraha N, Lin HY, Tsai SK, Hsiao HI, Lin HJ. The Rapid Detection of Salmonella enterica, Listeria monocytogenes, and Staphylococcus aureus via Polymerase Chain Reaction Combined with Magnetic Beads and Capillary Electrophoresis. Foods 2023; 12:3895. [PMID: 37959014 PMCID: PMC10649415 DOI: 10.3390/foods12213895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 10/16/2023] [Accepted: 10/23/2023] [Indexed: 11/15/2023] Open
Abstract
Food safety concerns regarding foodborne pathogen contamination have gained global attention due to its significant implications. In this study, we developed a detection system utilizing a PCR array combined with an automated magnetic bead-based system and CE technology to enable the detection of three foodborne pathogens, namely Salmonella enterica, Listeria monocytogenes, and Staphylococcus aureus. The results showed that our developed method could detect these pathogens at concentrations as low as 7.3 × 101, 6.7 × 102, and 6.9 × 102 cfu/mL, respectively, in the broth samples. In chicken samples, the limit of detection for these pathogens was 3.1 × 104, 3.5 × 103, and 3.9 × 102 cfu/g, respectively. The detection of these pathogens was accomplished without the necessity for sample enrichment, and the entire protocols, from sample preparation to amplicon analysis, were completed in approximately 3.5 h. Regarding the impact of the extraction method on detection capability, our study observed that an automated DNA extraction system based on the magnetic bead method demonstrated a 10-fold improvement or, at the very least, yielded similar results compared to the column-based method. These findings demonstrated that our developed model is effective in detecting low levels of these pathogens in the samples analyzed in this study. The PCR-CE method developed in this study may help monitor food safety in the future. It may also be extended to identify other foodborne pathogens across a wide range of food samples.
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Affiliation(s)
- Nodali Ndraha
- Department of Bioscience and Biotechnology, National Taiwan Ocean University, Keelung 202301, Taiwan; (N.N.); (H.-Y.L.)
| | - Hung-Yun Lin
- Department of Bioscience and Biotechnology, National Taiwan Ocean University, Keelung 202301, Taiwan; (N.N.); (H.-Y.L.)
- Center of Excellence for the Oceans, National Taiwan Ocean University, Keelung 202301, Taiwan
| | | | - Hsin-I Hsiao
- Department of Food Science, National Taiwan Ocean University, Keelung 202301, Taiwan;
| | - Han-Jia Lin
- Department of Bioscience and Biotechnology, National Taiwan Ocean University, Keelung 202301, Taiwan; (N.N.); (H.-Y.L.)
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Use of nano titanium hydroxide and nano zirconium hydroxide fixed filter paper for rapid detection of Staphylococcus aureus in dairy products by PCR without pre-enrichment. Food Control 2023. [DOI: 10.1016/j.foodcont.2023.109664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
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Ramasamy P, Dakshinamoorthy G, Jayashree S, Prabhu D, Rajamanikandan S, Velusamy P, Dayanithi G, Hanna REB. A Novel Prototype Biosensor Array Electrode System for Detecting the Bacterial Pathogen Salmonella typhimurium. BIOSENSORS 2022; 12:389. [PMID: 35735537 PMCID: PMC9221460 DOI: 10.3390/bios12060389] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 05/26/2022] [Accepted: 06/02/2022] [Indexed: 06/15/2023]
Abstract
Salmonellosis caused by Salmonella sp. has long been reported all over the world. Despite the availability of various diagnostic methods, easy and effective detection systems are still required. This report describes a dialysis membrane electrode interface disc with immobilized specific antibodies to capture antigenic Salmonella cells. The interaction of a specific Salmonella antigen with a mouse anti-Salmonella monoclonal antibody complexed to rabbit anti-mouse secondary antibody conjugated with HRP and the substrate o-aminophenol resulted in a response signal output current measured using two electrode systems (cadmium reference electrode and glassy carbon working electrode) and an agilent HP34401A 6.5 digital multimeter without a potentiostat or applied potential input. A maximum response signal output current was recorded for various concentrations of Salmonella viz., 3, 30, 300, 3000, 30,000 and 300,000 cells. The biosensor has a detection limit of three cells, which is very sensitive when compared with other detection sensors. Little non-specific response was observed using Streptococcus, Vibrio, and Pseudomonas sp. The maximum response signal output current for a dialysis membrane electrode interface disc was greater than that for gelatin, collagen, and agarose. The device and technique have a range of biological applications. This novel detection system has great potential for future development and application in surveillance for microbial pathogens.
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Affiliation(s)
- Palaniappan Ramasamy
- Research and Development Wing, Bharath Institute of Higher Education and Research (BIHER), Sree Balaji Medical College and Hospital (SBMCH), Chromepet, Chennai 600044, Tamil Nadu, India
- Department of Biotechnology, University of Madras, Chennai 600025, Tamil Nadu, India
| | - Gajalakshmi Dakshinamoorthy
- Department of Biotechnology, University of Madras, Chennai 600025, Tamil Nadu, India
- MRD Tech Development, 505 Penobcot Dr., Redwood City, CA 94063, USA
| | - Shanmugam Jayashree
- Department of Biotechnology, University of Madras, Chennai 600025, Tamil Nadu, India
- Department of Biotechnology, Stella Maris College, Chennai 600086, Tamil Nadu, India
| | - Dhamodharan Prabhu
- Research and Development Wing, Bharath Institute of Higher Education and Research (BIHER), Sree Balaji Medical College and Hospital (SBMCH), Chromepet, Chennai 600044, Tamil Nadu, India
| | - Sundararaj Rajamanikandan
- Research and Development Wing, Bharath Institute of Higher Education and Research (BIHER), Sree Balaji Medical College and Hospital (SBMCH), Chromepet, Chennai 600044, Tamil Nadu, India
| | - Palaniyandi Velusamy
- Research and Development Wing, Bharath Institute of Higher Education and Research (BIHER), Sree Balaji Medical College and Hospital (SBMCH), Chromepet, Chennai 600044, Tamil Nadu, India
| | - Govindan Dayanithi
- Research and Development Wing, Bharath Institute of Higher Education and Research (BIHER), Sree Balaji Medical College and Hospital (SBMCH), Chromepet, Chennai 600044, Tamil Nadu, India
- Molecular Mechanisms in Neurodegenerative Diseases Laboratory (MMDN), University of Montpellier, L'École Pratique des Hautes Etudes-Sorbonne, INSERM, UMR-S1198, CEDEX 5, 34095 Montpellier, France
| | - Robert E B Hanna
- School of Biology and Biochemistry, The Queen's University of Belfast, Belfast BT7 1NN, UK
- Veterinary Science Division, Agri-Food and Biosciences Institute, Belfast BT4 3SD, UK
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Shi J, Chi H, Cao A, Song Y, Zhu M, Zhang L, Xu F, Huang J. Development of IMBs-qPCR detection method for Yersinia enterocolitica based on the foxA gene. Arch Microbiol 2021; 203:4653-4662. [PMID: 34173855 DOI: 10.1007/s00203-021-02459-4] [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: 08/30/2020] [Revised: 06/21/2021] [Accepted: 06/23/2021] [Indexed: 11/29/2022]
Abstract
Yersinia enterocolitica is an important zoonotic pathogen, which seriously endangers food-safety risk. In this study, the recombinant outer membrane protein OmpF and its antibody were prepared and coupled with immunomagnetic beads (IMBs) to capture Y. enterocolitica in food samples, combining the quantitative PCR detection with primers of virulence factor gene foxA for Yersinia enterocolitica contamination. The results showed that the capture efficiency of approximately 80% using anti-OmpF antibody-immunomagnetic beads and linearly dependent capture under 101-105 CFU/mL Y. enterocolitica compared with less than 10% capture of other bacteria. The detection limit of 64 CFU/mL was obtained based on foxA gene PCR detection combined with capture of the anti-OmpF antibody-immunomagnetic beads to detect Yersinia enterocolitica in artificially contaminated milk and pork samples. Compared to the culture method, the developed IMBs-qPCR method has higher consistency, was less time consuming, which taken together provides an effective alternative method for rapid detection of Y. enterocolitica in food.
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Affiliation(s)
- Jingxuan Shi
- School of Life Sciences, Tianjin University, China. No. 92, Weijin road, Nankai District, Tianjin, 300072, China
| | - Heng Chi
- School of Life Sciences, Tianjin University, China. No. 92, Weijin road, Nankai District, Tianjin, 300072, China
| | - Aiping Cao
- School of Life Sciences, Tianjin University, China. No. 92, Weijin road, Nankai District, Tianjin, 300072, China
| | - Yinna Song
- School of Life Sciences, Tianjin University, China. No. 92, Weijin road, Nankai District, Tianjin, 300072, China
| | - Min Zhu
- School of Life Sciences, Tianjin University, China. No. 92, Weijin road, Nankai District, Tianjin, 300072, China
| | - Lilin Zhang
- School of Life Sciences, Tianjin University, China. No. 92, Weijin road, Nankai District, Tianjin, 300072, China
| | - Fuzhou Xu
- Institute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agricultural and Forestry Sciences, 100097, Beijing, People's Republic of China.
| | - Jinhai Huang
- School of Life Sciences, Tianjin University, China. No. 92, Weijin road, Nankai District, Tianjin, 300072, China.
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Huang C, Mahboubat BY, Ding Y, Yang Q, Wang J, Zhou M, Wang X. Development of a rapid Salmonella detection method via phage-conjugated magnetic bead separation coupled with real-time PCR quantification. Lebensm Wiss Technol 2021. [DOI: 10.1016/j.lwt.2021.111075] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Milton AAP, Momin KM, Priya GB, Ghatak S, Das S, Gandhale PN, Angappan M, Sen A. Development of novel visual detection methodology for Salmonella in meat using saltatory rolling circle amplification. J Appl Microbiol 2021; 131:2361-2371. [PMID: 33811443 DOI: 10.1111/jam.15099] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Revised: 02/06/2021] [Accepted: 03/28/2021] [Indexed: 12/12/2022]
Abstract
AIM The aim of this study was to develop a saltatory rolling circle amplification (SRCA) assay for rapid, simple and visual detection of Salmonella in meat. METHODS AND RESULTS Saltatory rolling circle amplification assay was established using simple PCR primers targeting the invA gene of Salmonella enterica. The specificity of the SRCA assay was determined using 28 Salmonella and 15 non-Salmonella strains. The analytical sensitivity of the developed SRCA, conventional and real-time PCR assays were 70 fg, 7 pg and 700 fg S. enterica DNA per tube, respectively. The limit of detection (LoD) of the SRCA assay was 40 CFU per gram of meat without enrichment and 4 CFU per gram after including 6 h brief enrichment step. The detection limits of 40 CFU per gram and 4 CFU per gram of meat were achieved within 165 min and 9 h, respectively (including DNA extraction). To assess the real-world relevance of the SRCA assay, it was used to screen Salmonella from the field pork samples (n = 82). The same samples were also tested with culture (ISO 6579: 2002) method, conventional and real-time PCR assays. Using the developed assay with 6-h enrichment step, it could give accurate results as that of the culture method. CONCLUSIONS The results of this study showed that the SRCA assay is a rapid, simple, sophisticated equipment-free and user-friendly method for accurate detection of Salmonella in meat foods. To our information, this is the first study to deploy SRCA assay for screening foods for Salmonella. SIGNIFICANCE AND IMPACT OF THE STUDY The developed SRCA assay is cost-effective, easy-to-perform and equipment-free; therefore, it has the potential to replace other molecular detection methods for regular screening of Salmonella in foods in field laboratories.
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Affiliation(s)
- A A P Milton
- Division of Animal Health, ICAR Research Complex for NEH Region, Umiam, Meghalaya, India
| | - K M Momin
- Division of Animal Health, ICAR Research Complex for NEH Region, Umiam, Meghalaya, India
| | - G B Priya
- Division of Animal Health, ICAR Research Complex for NEH Region, Umiam, Meghalaya, India.,College of Agriculture, Central Agricultural University (Imphal), Kyrdemkulai, Meghalaya, India
| | - S Ghatak
- Division of Animal Health, ICAR Research Complex for NEH Region, Umiam, Meghalaya, India
| | - S Das
- Division of Animal Health, ICAR Research Complex for NEH Region, Umiam, Meghalaya, India
| | - P N Gandhale
- ICAR-National Institute of High Security Animal Diseases, Bhopal, Madhya Pradesh, India
| | - M Angappan
- Division of Animal Health, ICAR Research Complex for NEH Region, Umiam, Meghalaya, India
| | - A Sen
- Division of Animal Health, ICAR Research Complex for NEH Region, Umiam, Meghalaya, India
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Review on Major Food-Borne Zoonotic Bacterial Pathogens. J Trop Med 2020; 2020:4674235. [PMID: 32684938 PMCID: PMC7341400 DOI: 10.1155/2020/4674235] [Citation(s) in RCA: 197] [Impact Index Per Article: 39.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Accepted: 05/19/2020] [Indexed: 02/06/2023] Open
Abstract
Food-borne microorganisms are major pathogens affecting food safety and cause human illness worldwide as a result of consumption of foodstuff, mainly animal products contaminated with vegetative pathogens or their toxins. Most of these microbes have zoonotic importance resulting in significant impact on both public health and economic sectors. Bacteria are the causative agents of two-thirds of human food-borne diseases worldwide with high burden in developing countries. Hence, the objectives of this review paper are to highlight the background of food-borne bacterial pathogens and to review common major food-borne zoonotic bacterial pathogens. Food animals are the major reservoirs of many food-borne zoonotic bacterial pathogens, and food products of animal origin are the main vehicles of transmission. Meat, dairy products, and eggs are the main ways by which people are exposed to zoonotic bacteria. S. aureus, Salmonella species, Campylobacter species, L. monocytogenes, and E. coli are the major zoonotic bacterial pathogens which are the causative agents of food-borne illness and death in the world associated with consumption of contaminated animal products. Production of toxins and structural virulent factors are responsible for the pathogenesis of these bacteria. These major zoonotic bacteria cause human infections which are characterized mainly by gastrointestinal symptoms including nausea, vomiting, diarrhea, abdominal cramps, and other agent-specific symptoms. Some bacteria may cause severe complications. Conventional (culturing), serological, and molecular techniques are important for detection of these common zoonotic bacteria and their toxins in food. Good hygiene, GMP, sanitation in operating procedures, and implementation of standardized HACCP and pasteurization procedures are effective methods for the control and prevention. Currently, the emergence of multidrug-resistant zoonotic bacteria associated with consumption of contaminated animal products is a great concern for the public health, and there should be coordinated surveillance and monitoring system for food-borne zoonotic bacterial pathogens particularly in developing countries including Ethiopia.
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Ripolles-Avila C, Martínez-Garcia M, Capellas M, Yuste J, Fung DYC, Rodríguez-Jerez JJ. From hazard analysis to risk control using rapid methods in microbiology: A practical approach for the food industry. Compr Rev Food Sci Food Saf 2020; 19:1877-1907. [PMID: 33337076 DOI: 10.1111/1541-4337.12592] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Revised: 05/14/2020] [Accepted: 05/15/2020] [Indexed: 12/14/2022]
Abstract
The prevention of foodborne diseases is one of the main objectives of health authorities. To this effect, analytical techniques to detect and/or quantify the microbiological contamination of foods prior to their release onto the market are required. Management and control of foodborne pathogens have generally been based on conventional detection methodologies, which are not only time-consuming and labor-intensive but also involve high consumable materials costs. However, this management perspective has changed over time given that the food industry requires efficient analytical methods that obtain rapid results. This review covers the historical context of traditional methods and their passage in time through to the latest developments in rapid methods and their implementation in the food sector. Improvements and limitations in the detection of the most relevant pathogens are discussed from a perspective applicable to the current situation in the food industry. Considering efforts that are being done and recent developments, rapid and accurate methods already used in the food industry will be also affordable and portable and offer connectivity in near future, which improves decision-making and safety throughout the food chain.
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Affiliation(s)
- Carolina Ripolles-Avila
- Area of Human Nutrition and Food Science, Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Maria Martínez-Garcia
- Area of Human Nutrition and Food Science, Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Marta Capellas
- Area of Food Technology, Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Josep Yuste
- Area of Food Technology, Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Daniel Y C Fung
- Call Hall, Department of Animal Sciences and Industry, Kansas State University, Manhattan, Kansas
| | - José-Juan Rodríguez-Jerez
- Area of Human Nutrition and Food Science, Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona, Barcelona, Spain
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Bi Y, Shu M, Zhong C, Li SY, Li YK, Yang HH, Wu GP. A Novel SDS Rinse and Immunomagnetic Beads Separation Combined with Real-Time Loop-Mediated Isothermal Amplification for Rapid and Sensitive Detection of Salmonella in Ready-to-Eat Duck Meat. FOOD ANAL METHOD 2020. [DOI: 10.1007/s12161-020-01735-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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13
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Wang L, Zhao P, Si X, Li J, Dai X, Zhang K, Gao S, Dong J. Rapid and Specific Detection of Listeria monocytogenes With an Isothermal Amplification and Lateral Flow Strip Combined Method That Eliminates False-Positive Signals From Primer-Dimers. Front Microbiol 2020; 10:2959. [PMID: 32117075 PMCID: PMC7025549 DOI: 10.3389/fmicb.2019.02959] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2019] [Accepted: 12/09/2019] [Indexed: 12/19/2022] Open
Abstract
Listeria monocytogenes is an important foodborne pathogenic bacterium that is explicitly threatening public health and food safety. Rapid, simple, and sensitive detection methods for this pathogen are of urgent need for the increasing on-site testing demands. Application of the isothermal recombinase polymerase amplification (RPA) and the lateral flow strip (LFS) in the detection is promising for fast speed, high sensitivity, and little dependency on equipment and trained personnel. However, the simplicity comes with an intrinsic and non-negligible risk, the false-positive signals from primer–dimers. In this study, an improved RPA–LFS system was established for detection of L. monocytogenes that eliminated false-positive signals from primer–dimers. Primer candidates were carefully selected from the entire L. monocytogenes genome sequence and rigorously screened for specific amplifications in PCR and RPA reactions. For the optimal primer pairs, probes that matched the targeted fragment sequences, although had the smallest chance to form cross-dimers with the primers, were designed and screened. The intelligent use of the probe successfully linked the positive signal to the actual amplification product. This RPA–LFS system was highly specific to L. monocytogenes and was able to detect as low as 1 colony-forming unit of the bacterium per reaction (50 μl) without DNA purification, or 100 fg of the genomic DNA/50 μl. The amplification could be conducted under the temperature between 37 and 42°C, and the whole detection finished within 25 min. Test of artificially contaminated milk gave 100% accuracy of detection without purification of the samples. Various food samples spiked with 10 colony-forming unit of L. monocytogenes per 25 g or 25 ml were successfully detected after an enrichment time period of 6 h. The RPA–LFS system established in this study is a rapid, simple, and specific detection method for L. monocytogenes that has eliminated false-positive results from primer–dimers. In addition, this study has set a good example of eliminating the false-positive risk from primer–dimers in isothermal amplification-based detection methods, which is applicable to the development of detection technologies for other pathogens.
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Affiliation(s)
- Lei Wang
- Jiangsu Key Laboratory of Marine Biological Resources and Environment, Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Jiangsu Ocean University, Lianyungang, China
| | - Panpan Zhao
- College of Veterinary Medicine, Jilin University, Changchun, China
| | - Xinxin Si
- Jiangsu Key Laboratory of Marine Biological Resources and Environment, Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Jiangsu Ocean University, Lianyungang, China
| | - Juan Li
- Wuhan Institute for Food and Cosmetic Control, Wuhan, China
| | - Xiaofang Dai
- Wuhan Institute for Food and Cosmetic Control, Wuhan, China
| | - Kunxiao Zhang
- Jiangsu Key Laboratory of Marine Biological Resources and Environment, Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Jiangsu Ocean University, Lianyungang, China
| | - Song Gao
- School of Pharmacy, Jiangsu Ocean University, Lianyungang, China
| | - Jingquan Dong
- Jiangsu Key Laboratory of Marine Biological Resources and Environment, Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Jiangsu Ocean University, Lianyungang, China
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14
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Rapid detection and control of psychrotrophic microorganisms in cold storage foods: A review. Trends Food Sci Technol 2019. [DOI: 10.1016/j.tifs.2019.02.009] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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15
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Bai J, Trinetta V, Shi X, Noll LW, Magossi G, Zheng W, Porter EP, Cernicchiaro N, Renter DG, Nagaraja TG. A multiplex real-time PCR assay, based on invA and pagC genes, for the detection and quantification of Salmonella enterica from cattle lymph nodes. J Microbiol Methods 2018; 148:110-116. [PMID: 29621581 DOI: 10.1016/j.mimet.2018.03.019] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2017] [Revised: 03/26/2018] [Accepted: 03/27/2018] [Indexed: 12/12/2022]
Abstract
Cattle lymph nodes can harbor Salmonella and potentially contaminate beef products. We have developed and validated a new real-time PCR (qPCR) assay for the detection and quantification of Salmonella enterica in cattle lymph nodes. The assay targets both the invA and pagC genes, the most conserved molecular targets in Salmonella enterica. An 18S rRNA gene assay that amplifies from cattle and other animal species was also included as an internal control. Available DNA sequences for invA, pagC and 18S rRNA genes were used for primer and probe selections. Three Salmonella serotypes, S. Typhimurium, S. Anatum, and S. Montevideo, were used to assess the assay's analytical sensitivity. Correlation coefficients of standard curves generated for each target and for all three serotypes were >99% and qPCR amplification efficiencies were between 93% and 110%. Assay sensitivity was also determined using standard curve data generated from Salmonella-negative cattle lymph nodes spiked with 10-fold dilutions of the three Salmonella serotypes. Assay specificity was determined using Salmonella culture method, and qPCR testing on 36 Salmonella strains representing 33 serotypes, 38 Salmonella strains of unknown serotypes, 252 E. coli strains representing 40 serogroups, and 31 other bacterial strains representing 18 different species. A collection of 647 cattle lymph node samples from steers procured from the Midwest region of the US were tested by the qPCR, and compared to culture-method of detection. Salmonella prevalence by qPCR for pre-enriched and enriched lymph nodes was 19.8% (128/647) and 94.9% (614/647), respectively. A majority of qPCR positive pre-enriched samples (105/128) were at concentrations between 104 and 105 CFU/mL. Culture method detected Salmonella in 7.7% (50/647) and 80.7% (522/647) of pre- and post-enriched samples, respectively; 96.0% (48/50) of pre-enriched and 99.4% (519/522) of post-enriched culture-positive samples were also positive by qPCR. More samples tested positive by qPCR than by culture method, indicating that the real-time PCR assay was more sensitive. Our data indicate that this triplex qPCR can be used to accurately detect and quantify Salmonella enterica strains from cattle lymph node samples. The assay may serve as a useful tool to monitor the prevalence of Salmonella in beef production systems.
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Affiliation(s)
- Jianfa Bai
- Kansas State Veterinary Diagnostic Laboratory, College of Veterinary Medicine, Kansas State University, Manhattan, KS 66506, United States; Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS 66506, United States.
| | - Valentina Trinetta
- Food Science Institute, College of Agriculture, Kansas State University, Manhattan, KS 66506, United States.
| | - Xiaorong Shi
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS 66506, United States
| | - Lance W Noll
- Kansas State Veterinary Diagnostic Laboratory, College of Veterinary Medicine, Kansas State University, Manhattan, KS 66506, United States
| | - Gabriela Magossi
- Food Science Institute, College of Agriculture, Kansas State University, Manhattan, KS 66506, United States
| | - Wanglong Zheng
- Kansas State Veterinary Diagnostic Laboratory, College of Veterinary Medicine, Kansas State University, Manhattan, KS 66506, United States; Yangzhou University College of Veterinary Medicine, Yangzhou, Jiangsu, China
| | - Elizabeth P Porter
- Kansas State Veterinary Diagnostic Laboratory, College of Veterinary Medicine, Kansas State University, Manhattan, KS 66506, United States
| | - Natalia Cernicchiaro
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS 66506, United States
| | - David G Renter
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS 66506, United States
| | - Tiruvoor G Nagaraja
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS 66506, United States
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