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Evaluation of the different methods to detect Salmonella in poultry feces samples. Arch Microbiol 2022; 204:269. [PMID: 35441892 DOI: 10.1007/s00203-022-02840-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 03/12/2022] [Accepted: 03/13/2022] [Indexed: 11/02/2022]
Abstract
Salmonella is one of the most common causes of foodborne outbreaks and infection worldwide. The gold-standard detection method of Salmonella is cultivation. There is a need to investigate rapid and accurate processes with time-consuming cultivation. The study evaluated different approaches to detect Salmonella in poultry feces samples. Poultry farm feces samples from 21 cities in Iran were collected from January 2016 to December 2019. Microbiological cultures, serological assays, and multiplex PCR (m-PCR) were used to detect and characterize Salmonella spp. isolates. Serological assays and m-PCR were used to determine the serogroups A, B, C1, C2, D1, E, H, and FliC. The m-PCR was used to detect seven Salmonella serovars, and a Chi-square test was performed to compare the discriminatory power of the methods. Of 2300 poultry feces samples, 173 (7.5%) and 166 (7.2%) samples were detected as Salmonella spp. by cultivation and m-PCR, respectively. The sensitivity of the molecular method was equal to cultivation at 0.96 (CI = 95%). Assessment of H antigenic subgroups showed the same for both m-PCR and serological tests. Therefore, the matching rate of the two methods for detecting all H antigenic subgroups was 100%. Thus, the relationship between the results obtained from both methods was significant in the contingency table test (P < 0.01). The PCR-based approach confirmed the detection of Salmonella in a shorter period (24-36 h) compared to the conventional microbiological approach (3-8 days).
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2
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Advancement in Salmonella Detection Methods: From Conventional to Electrochemical-Based Sensing Detection. BIOSENSORS-BASEL 2021; 11:bios11090346. [PMID: 34562936 PMCID: PMC8468554 DOI: 10.3390/bios11090346] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 09/06/2021] [Accepted: 09/09/2021] [Indexed: 02/07/2023]
Abstract
Large-scale food-borne outbreaks caused by Salmonella are rarely seen nowadays, thanks to the advanced nature of the medical system. However, small, localised outbreaks in certain regions still exist and could possess a huge threat to the public health if eradication measure is not initiated. This review discusses the progress of Salmonella detection approaches covering their basic principles, characteristics, applications, and performances. Conventional Salmonella detection is usually performed using a culture-based method, which is time-consuming, labour intensive, and unsuitable for on-site testing and high-throughput analysis. To date, there are many detection methods with a unique detection system available for Salmonella detection utilising immunological-based techniques, molecular-based techniques, mass spectrometry, spectroscopy, optical phenotyping, and biosensor methods. The electrochemical biosensor has growing interest in Salmonella detection mainly due to its excellent sensitivity, rapidity, and portability. The use of a highly specific bioreceptor, such as aptamers, and the application of nanomaterials are contributing factors to these excellent characteristics. Furthermore, insight on the types of biorecognition elements, the principles of electrochemical transduction elements, and the miniaturisation potential of electrochemical biosensors are discussed.
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SANTOS PHCD, FIGUEIREDO HM, SILVA LHMD, SILVA RSOD, CARDOSO GVF, MORAES CM, RODRIGUES AMDC. Evaluation of a rapid detection method of Salmonella in comparison with the culture method and microbiological quality in fish from the Brazilian Amazon. FOOD SCIENCE AND TECHNOLOGY 2021. [DOI: 10.1590/fst.38719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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4
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Kim W, Yoon Y, Seo Y, Lee Y, Lee H, Kim S, Ha J, Choi Y, Oh H, Kim Y, Kang J, Park E, Yoo Y, Sung M, Lee S. Development of Listeria monocytogenes detection technique in mushroom based on real-time quantitative PCR through improvement of enrichment medium. FOOD SCIENCE AND TECHNOLOGY RESEARCH 2021. [DOI: 10.3136/fstr.27.837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Affiliation(s)
- Woori Kim
- Department of Food and Nutrition, Sookmyung Women's University
| | - Yohan Yoon
- Department of Food and Nutrition, Sookmyung Women's University
| | - Yeongeun Seo
- Department of Food and Nutrition, Sookmyung Women's University
| | - Yewon Lee
- Department of Food and Nutrition, Sookmyung Women's University
| | - Heeyoung Lee
- Food Standard Research Center, Korea Food Research Institute
| | | | | | | | - Hyemin Oh
- Department of Food and Nutrition, Sookmyung Women's University
| | - Yujin Kim
- Department of Food and Nutrition, Sookmyung Women's University
| | - Joohyun Kang
- Department of Food and Nutrition, Sookmyung Women's University
| | - Eunyoung Park
- Department of Food and Nutrition, Sookmyung Women's University
| | - Yoonjeong Yoo
- Department of Food and Nutrition, Sookmyung Women's University
| | - Miseon Sung
- Department of Food and Nutrition, Sookmyung Women's University
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Rapid detection of flagellated and non-flagellated Salmonella by targeting the common flagellar hook gene flgE. Appl Microbiol Biotechnol 2020; 104:9719-9732. [PMID: 33009938 DOI: 10.1007/s00253-020-10925-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 09/10/2020] [Accepted: 09/21/2020] [Indexed: 01/06/2023]
Abstract
Salmonella spp. can cause animal and human salmonellosis. In this study, we established a simple method to detect all Salmonella species by amplifying a specific region within the flgE gene encoding the flagellar hook protein. Our preliminary sequence analysis among flagella-associated genes of Salmonella revealed that although Salmonella Gallinarum and Salmonella Pullorum are lacking flagella, they did have flagella-associated genes, including flgE. To investigate in detail, a comparative flgE sequence analysis was conducted using different bacterial strains including flagellated and non-flagellated Salmonella as well as non-Salmonella strains. Two unique regions (481-529 bp and 721-775 bp of the reference sequence) within the flgE open reading frame were found to be highly conserved and specific to all Salmonella species. Next, we designed a pair of PCR primers (flgE-UP and flgE-LO) targeting the above two regions, and performed a flgE-tailored PCR using as template DNA prepared from a total of 76 bacterial strains (31 flagellated Salmonella strains, 26 non-flagellated Salmonella strains, and 19 other non-Salmonella bacteria strains). Results showed that specific positive bands with expected size were obtained from all Salmonella (including flagellated and non-flagellated Salmonella) strains, while no specific product was generated from non-Salmonella bacterial strains. PCR products from the positive bands were confirmed by DNA sequencing. The minimum detection amount for genomic DNA and bacteria cells reached 18.3 pg/μL and 100 colony-forming unit (CFU) per PCR reaction, respectively. Using the flgE-PCR method to detect Salmonella in artificially contaminated milk samples, as low as 1 CFU/mL Salmonella was detectable after an 8-h pre-culture. Meanwhile, the flgE-tailored PCR method was applied to evaluate 247 clinical samples infected with Salmonella from different chicken breeding farms. The detection results indicated that flgE-PCR could be used to specifically detect Salmonella in concordance with the traditional bacterial culture-based detection method. It is worthwhile noticed that identification results using flgE-tailored PCR should be completed within less than 1 day, expanding the result of much faster than the standard method, which took more than 5 days. Overall, the flgE-tailored PCR method can specifically detect flagellated and non-flagellated Salmonella and can serve as a powerful tool for rapid, simple, and sensitive detection of Salmonella species. KEY POINTS : • Targeting flgE gene for all Salmonella spp. found. • The established PCR assay is used to specifically detect all Salmonella spp. • The PCR method is applied to detect clinical Salmonella spp. samples within less than 1 day.
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6
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Hu J, Wang Y, Ding H, Jiang C, Geng Y, Sun X, Jing J, Gao H, Wang Z, Dong C. Recombinase polymerase amplification with polymer flocculation sedimentation for rapid detection of Staphylococcus aureus in food samples. Int J Food Microbiol 2020; 331:108691. [PMID: 32534163 DOI: 10.1016/j.ijfoodmicro.2020.108691] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Revised: 05/12/2020] [Accepted: 05/26/2020] [Indexed: 01/02/2023]
Abstract
Currently, rapid, sensitive, and convenient visual detection methods for Staphylococcus aureus (S. aureus) are scarce. In this study, a novel detection method based on recombinase polymerase amplification (RPA) and polymer flocculation sedimentation (PFS) was developed. Twelve effective primer combinations derived from four forward primers F1, F2, F3, F4, and three reverse primers R1, R2, R3 targeting the nuc gene of S. aureus were designed and screened by a polymerase chain reaction and RPA methods. RPA reaction conditions, including temperature, time, and volume as well as PEG8000 and NaCl concentrations range, were optimized. Moreover, the specificity and sensitivity of the RPA-PFS assay were further analyzed. Finally, the potential use of the RPA-PFS assay was evaluated using artificially S. aureus contaminated food samples, including pork, beef, shrimp, fish, cheese, cabbage, leftover rice, egg, milk, and orange juice. Results showed that the SA5 (F2/R2) combination was the optimal primer candidate. The optimal temperature range, the shortest time and the minimal volume of RPA reaction were 40-42 °C, 10 min and 10 μL, respectively and the optimal PEG8000/NaCl concentrations were 0.2 g/mL and 2.5 M, respectively, for the adsorption between magnetic beads and RPA products. The RPA-PFS method could detect as little as 13 fg genomic DNA of S. aureus and was also specific for five target S. aureus as well as twenty-seven non-target foodborne bacteria. The limit of detection of RPA-PFS for S. aureus in artificially contaminated food samples was 38 CFU/mL (g). Besides, RPA-PFS has directly been judged by the naked eye and has totally taken less than 20 min. In short, the assay RPA-PFS developed in this study is a rapid, sensitive, and specific visual detection method for S. aureus.
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Affiliation(s)
- Jinqiang Hu
- School of Food and Bioengineering, Zhengzhou University of Light Industry, Zhengzhou 450000, Henan Province, China; International Joint Laboratory of Food Safety, Zhengzhou 450000, Henan Province, China; Collaborative Innovation Center of Food Production and Safety, Zhengzhou 450000, Henan Province, China; Henan Key Laboratory of Cold Chain Food Quality and Safety Control, Zhengzhou 450000, Henan Province, China.
| | - Yi Wang
- School of Food and Bioengineering, Zhengzhou University of Light Industry, Zhengzhou 450000, Henan Province, China
| | - Huimin Ding
- School of Food and Bioengineering, Zhengzhou University of Light Industry, Zhengzhou 450000, Henan Province, China
| | - Chunpeng Jiang
- School of Food and Bioengineering, Zhengzhou University of Light Industry, Zhengzhou 450000, Henan Province, China
| | - Yao Geng
- School of Food and Bioengineering, Zhengzhou University of Light Industry, Zhengzhou 450000, Henan Province, China; International Joint Laboratory of Food Safety, Zhengzhou 450000, Henan Province, China
| | - Xincheng Sun
- School of Food and Bioengineering, Zhengzhou University of Light Industry, Zhengzhou 450000, Henan Province, China; International Joint Laboratory of Food Safety, Zhengzhou 450000, Henan Province, China
| | - Jianzhou Jing
- School of Food and Bioengineering, Zhengzhou University of Light Industry, Zhengzhou 450000, Henan Province, China; International Joint Laboratory of Food Safety, Zhengzhou 450000, Henan Province, China
| | - Hui Gao
- School of Food and Bioengineering, Zhengzhou University of Light Industry, Zhengzhou 450000, Henan Province, China; International Joint Laboratory of Food Safety, Zhengzhou 450000, Henan Province, China
| | - Zhangcun Wang
- School of Food and Bioengineering, Zhengzhou University of Light Industry, Zhengzhou 450000, Henan Province, China
| | - Caiwen Dong
- School of Food and Bioengineering, Zhengzhou University of Light Industry, Zhengzhou 450000, Henan Province, China
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7
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Lin L, Zheng Q, Lin J, Yuk HG, Guo L. Immuno- and nucleic acid-based current technique for Salmonella detection in food. Eur Food Res Technol 2020. [DOI: 10.1007/s00217-019-03423-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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8
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Wang S, Zheng L, Cai G, Liu N, Liao M, Li Y, Zhang X, Lin J. A microfluidic biosensor for online and sensitive detection of Salmonella typhimurium using fluorescence labeling and smartphone video processing. Biosens Bioelectron 2019; 140:111333. [PMID: 31153017 DOI: 10.1016/j.bios.2019.111333] [Citation(s) in RCA: 92] [Impact Index Per Article: 18.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Revised: 05/10/2019] [Accepted: 05/15/2019] [Indexed: 11/18/2022]
Abstract
Early screening of foodborne pathogens is a key to ensure food safety. In this study, we developed a microfluidic biosensor for online and sensitive detection of Salmonella based on immunomagnetic separation, fluorescence labeling and smartphone video processing. First, the immune magnetic nanoparticles were used to specifically separate and efficiently concentrate the target bacteria and the magnetic bacteria were formed. Then, the magnetic bacteria were labeled with the immune fluorescent microspheres and the fluorescent bacteria were formed. Finally, the fluorescent bacteria were continuously injected into the microfluidic chip on the smartphone-based fluorescent microscopic system, and the fluorescent spots were online counted using the smartphone App based on inter-frame difference algorithm to obtain the amount of the target bacteria. Under the optimal conditions, this proposed biosensor was able to quantitatively detect Salmonella typhimurium ranging from 1.4 × 102 to 1.4 × 106 CFU/mL, and its lower detection limit was 58 CFU/mL. This biosensor could be extended for detection of multiple foodborne pathogens using different fluorescent materials.
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Affiliation(s)
- Siyuan Wang
- 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
| | - Gaozhe Cai
- 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, USA
| | - Xibin Zhang
- College of Food Science and Engineering, Shandong Agricultural University, Taian, 271018, China
| | - 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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9
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Ibrahim WA, Abd El-Ghany WA, Nasef SA, Hatem M. A comparative study on the use of real time polymerase chain reaction (RT-PCR) and standard isolation techniques for the detection of Salmonellae in broiler chicks. Int J Vet Sci Med 2019. [DOI: 10.1016/j.ijvsm.2013.11.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022] Open
Affiliation(s)
- Waleed A. Ibrahim
- Reference Laboratory for Veterinary Quality Control on Poultry Production-Animal Health Research Institute, Dokki, Giza, Egypt
| | | | - Soad A. Nasef
- Reference Laboratory for Veterinary Quality Control on Poultry Production-Animal Health Research Institute, Dokki, Giza, Egypt
| | - M.E. Hatem
- Faculty of Veterinary Medicine, Cairo University, Giza, Egypt
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10
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Ge B, Domesle KJ, Yang Q, Hammack TS, Wang SS, Deng X, Hu L, Zhang G, Hu Y, Lai X, Chou KX, Dollete JR, Hirneisen KA, La SP, Richter RS, Rai DR, Yousefvand AA, Park PK, Wu CH, Eames T, Kiang D, Sheng J, Wu D, Hahn L, Ledger L, Logie C, You Q, Slavic D, Cai H, Ayers SL, Young SR, Pamboukian R. Multi-Laboratory Validation of a Loop-Mediated Isothermal Amplification Method for Screening Salmonella in Animal Food. Front Microbiol 2019; 10:562. [PMID: 30984125 PMCID: PMC6447708 DOI: 10.3389/fmicb.2019.00562] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Accepted: 03/05/2019] [Indexed: 11/17/2022] Open
Abstract
Loop-mediated isothermal amplification (LAMP) has gained wide popularity in the detection of Salmonella in foods owing to its simplicity, rapidity, and robustness. This multi-laboratory validation (MLV) study aimed to validate a Salmonella LAMP-based method against the United States Food and Drug Administration (FDA) Bacteriological Analytical Manual (BAM) Chapter 5 Salmonella reference method in a representative animal food matrix (dry dog food). Fourteen independent collaborators from seven laboratories in the United States and Canada participated in the study. Each collaborator received two sets of 24 blind-coded dry dog food samples (eight uninoculated; eight inoculated at a low level, 0.65 MPN/25 g; and eight inoculated at a high level, 3.01 MPN/25 g) and initiated the testing on the same day. The MLV study used an unpaired design where different test portions were analyzed by the LAMP and BAM methods using different preenrichment protocols (buffered peptone water for LAMP and lactose broth for BAM). All LAMP samples were confirmed by culture using the BAM method. BAM samples were also tested by LAMP following lactose broth preenrichment (paired samples). Statistical analysis was carried out by the probability of detection (POD) per AOAC guidelines and by a random intercept logistic regression model. Overall, no significant differences in POD between the Salmonella LAMP and BAM methods were observed with either unpaired or paired samples, indicating the methods were comparable. LAMP testing following preenrichment in buffered peptone water or lactose broth also resulted in insignificant POD differences (P > 0.05). The MLV study strongly supports the utility and applicability of this rapid and reliable LAMP method in routine regulatory screening of Salmonella in animal food.
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Affiliation(s)
- Beilei Ge
- Division of Animal and Food Microbiology, Office of Research, Center for Veterinary Medicine, United States Food and Drug Administration, Laurel, MD, United States
| | - Kelly J. Domesle
- Division of Animal and Food Microbiology, Office of Research, Center for Veterinary Medicine, United States Food and Drug Administration, Laurel, MD, United States
| | - Qianru Yang
- Division of Animal and Food Microbiology, Office of Research, Center for Veterinary Medicine, United States Food and Drug Administration, Laurel, MD, United States
| | - Thomas S. Hammack
- Office of Regulatory Science, Center for Food Safety and Applied Nutrition, United States Food and Drug Administration, College Park, MD, United States
| | - Shizhen S. Wang
- Office of Analytics and Outreach, Center for Food Safety and Applied Nutrition, United States Food and Drug Administration, College Park, MD, United States
| | - Xiaohong Deng
- Office of Regulatory Science, Center for Food Safety and Applied Nutrition, United States Food and Drug Administration, College Park, MD, United States
| | - Lijun Hu
- Office of Regulatory Science, Center for Food Safety and Applied Nutrition, United States Food and Drug Administration, College Park, MD, United States
| | - Guodong Zhang
- Office of Regulatory Science, Center for Food Safety and Applied Nutrition, United States Food and Drug Administration, College Park, MD, United States
| | - Yuan Hu
- Northeast Food and Feed Laboratory, Office of Regulatory Affairs, United States Food and Drug Administration, Jamaica, NY, United States
| | - Xiaokuang Lai
- Northeast Food and Feed Laboratory, Office of Regulatory Affairs, United States Food and Drug Administration, Jamaica, NY, United States
| | - Kyson X. Chou
- Pacific Southwest Food and Feed Laboratory, Office of Regulatory Affairs, United States Food and Drug Administration, Irvine, CA, United States
| | - Jan Ryan Dollete
- Pacific Southwest Food and Feed Laboratory, Office of Regulatory Affairs, United States Food and Drug Administration, Irvine, CA, United States
| | - Kirsten A. Hirneisen
- Pacific Southwest Food and Feed Laboratory, Office of Regulatory Affairs, United States Food and Drug Administration, Irvine, CA, United States
| | - Sammie P. La
- Pacific Southwest Food and Feed Laboratory, Office of Regulatory Affairs, United States Food and Drug Administration, Irvine, CA, United States
| | - Richelle S. Richter
- Pacific Southwest Food and Feed Laboratory, Office of Regulatory Affairs, United States Food and Drug Administration, Irvine, CA, United States
| | - Diyo R. Rai
- San Francisco Laboratory, Office of Regulatory Affairs, United States Food and Drug Administration, Alameda, CA, United States
| | - Azadeh A. Yousefvand
- San Francisco Laboratory, Office of Regulatory Affairs, United States Food and Drug Administration, Alameda, CA, United States
| | - Paul K. Park
- Food and Drug Laboratory Branch, California Department of Public Health, Richmond, CA, United States
| | - Cindy H. Wu
- Food and Drug Laboratory Branch, California Department of Public Health, Richmond, CA, United States
| | - Tameji Eames
- Food and Drug Laboratory Branch, California Department of Public Health, Richmond, CA, United States
| | - David Kiang
- Food and Drug Laboratory Branch, California Department of Public Health, Richmond, CA, United States
| | - Ju Sheng
- Office of Indiana State Chemist, Purdue University, West Lafayette, IN, United States
| | - Dancia Wu
- Office of Indiana State Chemist, Purdue University, West Lafayette, IN, United States
| | - Lori Hahn
- Animal Health Laboratory, University of Guelph, Guelph, ON, Canada
| | - Lisa Ledger
- Animal Health Laboratory, University of Guelph, Guelph, ON, Canada
| | - Cynthia Logie
- Animal Health Laboratory, University of Guelph, Guelph, ON, Canada
| | - Qiu You
- Animal Health Laboratory, University of Guelph, Guelph, ON, Canada
| | - Durda Slavic
- Animal Health Laboratory, University of Guelph, Guelph, ON, Canada
| | - Hugh Cai
- Animal Health Laboratory, University of Guelph, Guelph, ON, Canada
| | - Sherry L. Ayers
- Division of Animal and Food Microbiology, Office of Research, Center for Veterinary Medicine, United States Food and Drug Administration, Laurel, MD, United States
| | - Shenia R. Young
- Division of Animal and Food Microbiology, Office of Research, Center for Veterinary Medicine, United States Food and Drug Administration, Laurel, MD, United States
| | - Ruiqing Pamboukian
- Office of Regulatory Science, Office of Regulatory Affairs, United States Food and Drug Administration, Rockville, MD, United States
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Han Y, Wang J, Zhao Z, Chen J, Lu H, Liu G. Detecting antibiotic resistance genes and human potential pathogenic Bacteria in fishmeal by culture-independent method. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2019; 26:8665-8674. [PMID: 30707381 DOI: 10.1007/s11356-019-04303-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Accepted: 01/22/2019] [Indexed: 06/09/2023]
Abstract
Fishmeal is a fundamental ingredient of feedstuffs and is used globally in aquaculture. However, there are few data on the antibiotic resistance genes (ARGs) and human pathogenic bacteria in fishmeal and little understanding of the potential risks of fishmeal application in mariculture systems. Here, we investigated the high-throughput profiles of ARGs and human potential pathogenic bacteria (HPPB) in representative fishmeals (n = 5) and the potential impact of fishmeal on mariculture sediments. ARGs were quantified with microbial DNA quantitative PCR arrays and HPPB were analyzed with Illumina sequencing of 16S rRNA genes. The impact of the fishmeal on the aquaculture sediments was assessed in a microcosm study. Twenty-four unique ARGs (3-14 per sample) and 25 HPPB species were detected in the fishmeal samples. The most prevalent ARGs were fluoroquinolone resistance genes. The overall abundance of HPPB was 5.0-25.5%, and the HPPB species were dominated by Vibrio parahaemolyticus, Clostridium novyi, and Escherichia coli. In the mariculture microcosm sediment, fishmeal significantly increased the normalized abundance of the class I integrase gene (25.4-fold), which plays an important role in the dissemination of ARGs. Dosing with fishmeal also contributed to increases in a resident sulfanilamide resistance gene (sulI gene) and the emergence of a macrolide resistance gene (ermB gene) in the sediment. These findings demonstrated that fishmeal itself is an underestimated reservoir and source of ARGs and HPPBs, and that the application of fishmeal facilitates the dissemination of ARGs in aquaculture sediments. Our results extend our knowledge of the ARGs and HPPB within fishmeal and may provide a feasible and effective approach to the detection of ARGs and HPPB in fishmeal during food safety inspection. Graphical abstract ᅟ.
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Affiliation(s)
- Ying Han
- Key Laboratory of Industrial Ecology and Environmental Engineering, Ministry of Education, School of Environmental Science and Technology, Dalian University of Technology, 2#Linggong Road, Ganjingzi District, Dalian, Liaoning, 116024, People's Republic of China
| | - Jing Wang
- Key Laboratory of Industrial Ecology and Environmental Engineering, Ministry of Education, School of Environmental Science and Technology, Dalian University of Technology, 2#Linggong Road, Ganjingzi District, Dalian, Liaoning, 116024, People's Republic of China.
| | - Zelong Zhao
- Key Laboratory of Industrial Ecology and Environmental Engineering, Ministry of Education, School of Environmental Science and Technology, Dalian University of Technology, 2#Linggong Road, Ganjingzi District, Dalian, Liaoning, 116024, People's Republic of China
| | - Jingwen Chen
- Key Laboratory of Industrial Ecology and Environmental Engineering, Ministry of Education, School of Environmental Science and Technology, Dalian University of Technology, 2#Linggong Road, Ganjingzi District, Dalian, Liaoning, 116024, People's Republic of China
| | - Hong Lu
- Key Laboratory of Industrial Ecology and Environmental Engineering, Ministry of Education, School of Environmental Science and Technology, Dalian University of Technology, 2#Linggong Road, Ganjingzi District, Dalian, Liaoning, 116024, People's Republic of China
| | - Guangfei Liu
- Key Laboratory of Industrial Ecology and Environmental Engineering, Ministry of Education, School of Environmental Science and Technology, Dalian University of Technology, 2#Linggong Road, Ganjingzi District, Dalian, Liaoning, 116024, People's Republic of China
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12
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Domesle KJ, Yang Q, Hammack TS, Ge B. Validation of a Salmonella loop-mediated isothermal amplification assay in animal food. Int J Food Microbiol 2017; 264:63-76. [PMID: 29121500 DOI: 10.1016/j.ijfoodmicro.2017.10.020] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2017] [Revised: 10/12/2017] [Accepted: 10/16/2017] [Indexed: 12/18/2022]
Abstract
Loop-mediated isothermal amplification (LAMP) has emerged as a promising alternative to PCR for pathogen detection in food testing and clinical diagnostics. This study aimed to validate a Salmonella LAMP method run on both turbidimetry (LAMP I) and fluorescence (LAMP II) platforms in representative animal food commodities. The U.S. Food and Drug Administration (FDA)'s culture-based Bacteriological Analytical Manual (BAM) method was used as the reference method and a real-time quantitative PCR (qPCR) assay was also performed. The method comparison study followed the FDA's microbiological methods validation guidelines, which align well with those from the AOAC International and ISO. Both LAMP assays were 100% specific among 300 strains (247 Salmonella of 185 serovars and 53 non-Salmonella) tested. The detection limits ranged from 1.3 to 28 cells for six Salmonella strains of various serovars. Six commodities consisting of four animal feed items (cattle feed, chicken feed, horse feed, and swine feed) and two pet food items (dry cat food and dry dog food) all yielded satisfactory results. Compared to the BAM method, the relative levels of detection (RLODs) for LAMP I ranged from 0.317 to 1 with a combined value of 0.610, while those for LAMP II ranged from 0.394 to 1.152 with a combined value of 0.783, which all fell within the acceptability limit (2.5) for an unpaired study. This also suggests that LAMP was more sensitive than the BAM method at detecting low-level Salmonella contamination in animal food and results were available 3days sooner. The performance of LAMP on both platforms was comparable to that of qPCR but notably faster, particularly LAMP II. Given the importance of Salmonella in animal food safety, the LAMP assays validated in this study holds great promise as a rapid, reliable, and robust method for routine screening of Salmonella in these commodities.
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Affiliation(s)
- Kelly J Domesle
- Division of Animal and Food Microbiology, Office of Research, Center for Veterinary Medicine, U.S. Food and Drug Administration, 8401 Muirkirk Road, Laurel, MD 20708, USA
| | - Qianru Yang
- Division of Animal and Food Microbiology, Office of Research, Center for Veterinary Medicine, U.S. Food and Drug Administration, 8401 Muirkirk Road, Laurel, MD 20708, USA
| | - Thomas S Hammack
- Division of Microbiology, Office of Regulatory Science, Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, 5001 Campus Drive, College Park, MD 20740, USA
| | - Beilei Ge
- Division of Animal and Food Microbiology, Office of Research, Center for Veterinary Medicine, U.S. Food and Drug Administration, 8401 Muirkirk Road, Laurel, MD 20708, USA.
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13
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Garrido-Maestu A, Fuciños P, Azinheiro S, Carvalho J, Prado M. Systematic loop-mediated isothermal amplification assays for rapid detection and characterization of Salmonella spp., Enteritidis and Typhimurium in food samples. Food Control 2017. [DOI: 10.1016/j.foodcont.2017.05.011] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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14
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Vial S, Berrahal Y, Prado M, Wenger J. Single-Step DNA Detection Assay Monitoring Dual-Color Light Scattering from Individual Metal Nanoparticle Aggregates. ACS Sens 2017; 2:251-256. [PMID: 28261666 PMCID: PMC5329769 DOI: 10.1021/acssensors.6b00737] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2016] [Accepted: 01/23/2017] [Indexed: 02/07/2023]
Abstract
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Efficiently detecting
DNA sequences within a limited time is vital
for disease screening and public health monitoring. This calls for
a new method that combines high sensitivity, fast read-out time, and
easy manipulation of the sample, avoiding the extensive steps of DNA
amplification, purification, or grafting to a surface. Here, we introduce
photon cross-correlation spectroscopy as a new method for specific
DNA sensing with high sensitivity in a single-step homogeneous solution
phase. Our approach is based on confocal dual-color illumination and
detection of the scattering intensities from individual silver nanoparticles
and gold nanorods. In the absence of the target DNA, the nanoparticles
move independently and their respective scattering signals are uncorrelated.
In the presence of the target DNA, the probe-functionalized gold and
silver nanoparticles assemble via DNA hybridization with the target,
giving rise to temporal coincidence between the signals scattered
by each nanoparticle. The degree of coincidence accurately quantifies
the amount of target DNA. To demonstrate the efficiency of our technique,
we detect a specific DNA sequence of sesame, an allergenic food ingredient,
for a range of concentration from 5 pM to 1.5 nM with a limit of detection
of 1 pM. Our method is sensitive and specific enough to detect single
nucleotide deletion and mismatch. With the dual-color scattering signals
being much brighter than fluorescence-based analogs, the analysis
is fast, quantitative, and simple to operate, making it valuable for
biosensing applications.
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Affiliation(s)
- Stéphanie Vial
- Aix Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, Marseille, France
| | - Youri Berrahal
- Aix Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, Marseille, France
| | - Marta Prado
- International Iberian Nanotechnology Laboratory (INL) Avenida Mestre José Veiga, 4715-310, Braga, Portugal
| | - Jérôme Wenger
- Aix Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, Marseille, France
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15
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Alves J, Hirooka EY, Oliveira TCRMD. Development of a multiplex real-time PCR assay with an internal amplification control for the detection of Campylobacter spp. and Salmonella spp. in chicken meat. Lebensm Wiss Technol 2016. [DOI: 10.1016/j.lwt.2016.04.051] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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16
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Koo EJ, Kim D, Oh SW. Comparison of DNA isolation methods for detection of foodborne pathogens by real-time PCR from foods. ACTA ACUST UNITED AC 2016. [DOI: 10.9721/kjfst.2016.48.4.335] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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17
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Garrido-Maestu A, Chapela MJ, Peñaranda E, Cabado AG. Re-evaluation of Enhanced qPCR Prevalidated Method for Next-day Detection ofSalmonellaspp.,Shigellaspp.,Escherichia coliO157 andListeria monocytogenes. FOOD BIOTECHNOL 2015. [DOI: 10.1080/08905436.2015.1091977] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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18
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Rohde A, Hammerl JA, Appel B, Dieckmann R, Al Dahouk S. FISHing for bacteria in food – A promising tool for the reliable detection of pathogenic bacteria? Food Microbiol 2015; 46:395-407. [DOI: 10.1016/j.fm.2014.09.002] [Citation(s) in RCA: 69] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2014] [Revised: 08/15/2014] [Accepted: 09/05/2014] [Indexed: 12/28/2022]
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19
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Wang H, Gill VS, Cheng CM, Gonzalez-Escalona N, Irvin KA, Zheng J, Bell RL, Jacobson AP, Hammack TS. Evaluation and comparison of rapid methods for the detection of Salmonella in naturally contaminated pine nuts using different pre enrichment media. Food Microbiol 2015; 46:58-65. [DOI: 10.1016/j.fm.2014.06.028] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2013] [Revised: 06/18/2014] [Accepted: 06/20/2014] [Indexed: 11/30/2022]
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20
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Alves J, Niguma NH, de Oliveira TC. Detection of Salmonella
spp. in Eight Complex Food Matrices Using Polymerase Chain Reaction Assay. J Food Saf 2015. [DOI: 10.1111/jfs.12194] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Juliane Alves
- Department of Food Science and Technology; Londrina State University; Rodovia Celso Garcia Cid, PR 445, Km 380, Campus Universitário, Caixa Postal 10.011 CEP 86057-970 Londrina Paraná Brazil
| | - Natália H. Niguma
- Department of Food Science and Technology; Londrina State University; Rodovia Celso Garcia Cid, PR 445, Km 380, Campus Universitário, Caixa Postal 10.011 CEP 86057-970 Londrina Paraná Brazil
| | - Tereza C.R.M. de Oliveira
- Department of Food Science and Technology; Londrina State University; Rodovia Celso Garcia Cid, PR 445, Km 380, Campus Universitário, Caixa Postal 10.011 CEP 86057-970 Londrina Paraná Brazil
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21
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Development and evaluation of a selective enrichment broth for simultaneous growth of Salmonella enterica serovar Enteritidis, Shigella dysenteriae and Staphylococcus aureus. ANN MICROBIOL 2014. [DOI: 10.1007/s13213-013-0797-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022] Open
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22
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Frausto HSEG, Alves J, Oliveira TCRMD. Evaluation of the BAX® system for the detection of Salmonella spp. in naturally contaminated chicken meat. FOOD SCIENCE AND TECHNOLOGY 2013. [DOI: 10.1590/s0101-20612013005000056] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Affiliation(s)
- Harissa Silvério El Ghoz Frausto
- Universidade Estadual de Londrina, Brasil; Setor de Microbiologia do Laboratório São Camilo de Análises de Alimentos e Água, Brasil
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23
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Manguiat LS, Fang TJ. Evaluation of DAS™ kits for the detection of food-borne pathogens in chicken- and meat-based street-vended foods. J Food Drug Anal 2013. [DOI: 10.1016/j.jfda.2013.05.011] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
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24
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Barco L, Barrucci F, Olsen JE, Ricci A. Salmonella source attribution based on microbial subtyping. Int J Food Microbiol 2013; 163:193-203. [PMID: 23562696 DOI: 10.1016/j.ijfoodmicro.2013.03.005] [Citation(s) in RCA: 51] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2012] [Revised: 01/20/2013] [Accepted: 03/02/2013] [Indexed: 10/27/2022]
Abstract
Source attribution of cases of food-borne disease represents a valuable tool for identifying and prioritizing effective food-safety interventions. Microbial subtyping is one of the most common methods to infer potential sources of human food-borne infections. So far, Salmonella microbial subtyping source attribution models have been implemented by using serotyping and phage-typing data. Molecular-based methods may prove to be similarly valuable in the future, as already demonstrated for other food-borne pathogens like Campylobacter. This review assesses the state of the art concerning Salmonella source attribution through microbial subtyping approach. It summarizes the available microbial subtyping attribution models and discusses the use of conventional phenotypic typing methods, as well as of the most commonly applied molecular typing methods in the European Union (EU) laboratories in the context of their potential applicability for Salmonella source attribution studies.
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Affiliation(s)
- Lisa Barco
- OIE, National Reference Laboratory for Salmonella, Istituto Zooprofilattico Sperimentale delle Venezie, Viale dell'Università 10, Padova, 35020 Legnaro, Italy
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25
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A new multiplex real-time PCR developed method for Salmonella spp. and Listeria monocytogenes detection in food and environmental samples. Food Control 2013. [DOI: 10.1016/j.foodcont.2012.06.029] [Citation(s) in RCA: 73] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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26
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Detection and Identification of Salmonella enterica, Escherichia coli, and Shigella spp. via PCR-electrospray ionization mass spectrometry: isolate testing and analysis of food samples. Appl Environ Microbiol 2012; 78:8403-11. [PMID: 23001674 DOI: 10.1128/aem.02272-12] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
An assay to identify the common food-borne pathogens Salmonella, Escherichia coli, Shigella, and Listeria monocytogenes was developed in collaboration with Ibis Biosciences (a division of Abbott Molecular) for the Plex-ID biosensor system, a platform that uses electrospray ionization mass spectroscopy (ESI-MS) to detect the base composition of short PCR amplicons. The new food-borne pathogen (FBP) plate has been experimentally designed using four gene segments for a total of eight amplicon targets. Initial work built a DNA base count database that contains more than 140 Salmonella enterica, 139 E. coli, 11 Shigella, and 36 Listeria patterns and 18 other Enterobacteriaceae organisms. This assay was tested to determine the scope of the assay's ability to detect and differentiate the enteric pathogens and to improve the reference database associated with the assay. More than 800 bacterial isolates of S. enterica, E. coli, and Shigella species were analyzed. Overall, 100% of S. enterica, 99% of E. coli, and 73% of Shigella spp. were detected using this assay. The assay was also able to identify 30% of the S. enterica serovars to the serovar level. To further characterize the assay, spiked food matrices and food samples collected during regulatory field work were also studied. While analysis of preenrichment media was inconsistent, identification of S. enterica from selective enrichment media resulted in serovar-level identifications for 8 of 10 regulatory samples. The results of this study suggest that this high-throughput method may be useful in clinical and regulatory laboratories testing for these pathogens.
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27
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ALVES JULIANE, MARQUES VIVIANIVIEIRA, PEREIRA LUIZFILIPEPROTASIO, HIROOKA ELISAYOKO, DE OLIVEIRA TEREZACRISTINAROCHAMOREIRA. MULTIPLEX PCR FOR THE DETECTION OF CAMPYLOBACTER SPP. AND SALMONELLA SPP. IN CHICKEN MEAT. J Food Saf 2012. [DOI: 10.1111/j.1745-4565.2012.00386.x] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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28
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Löfström C, Hoorfar J. Validation of an open-formula, diagnostic real-time PCR method for 20-h detection of Salmonella in animal feeds. Vet Microbiol 2012; 158:431-5. [PMID: 22437008 DOI: 10.1016/j.vetmic.2012.02.026] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2011] [Revised: 02/14/2012] [Accepted: 02/17/2012] [Indexed: 11/17/2022]
Abstract
A comparative study of a 20-h, non-commercial, open-formula PCR method and the standard culture-based method NMKL 187, for detection of Salmonella, was performed according to the validation protocol from the Nordic organisation for validation of alternative microbiological methods (NordVal) on 81 artificially or naturally contaminated animal feed samples. The PCR method is based on culture enrichment in buffered peptone water for 16 ± 2 h followed by a magnetic beads based semi automated DNA extraction and real-time PCR analysis, including an internal amplification control. The limit of detection (LOD50) was found to be 7.19 and 7.24 CFU/sample for the PCR method and NMKL187, respectively. A very good correlation between results obtained by the two methods was found (Cohen's kappa=0.92). The relative accuracy, relative sensitivity and relative specificity were found to be 97.5%, 102.0% and 96.6%, respectively. This method is the fastest open PCR based analysis protocol for detection of Salmonella in feed samples. Implementing rapid methods such as the one validated in this study can speed up Salmonella testing of feed for food-producing animals.
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Affiliation(s)
- Charlotta Löfström
- National Food Institute, Technical University of Denmark, Mørkhøj Bygade 19, 2860 Søborg, Denmark.
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29
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Development of a multiplex real-time PCR method for simultaneous detection of Salmonella enterica, Shigella flexneri and Listeria monocytogenes in processed food samples. Eur Food Res Technol 2012. [DOI: 10.1007/s00217-012-1665-3] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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30
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Kisluk G, Hoover DG, Kneil KE, Yaron S. Quantification of low and high levels of Salmonella enterica serovar Typhimurium on leaves. Lebensm Wiss Technol 2012. [DOI: 10.1016/j.lwt.2011.07.029] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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31
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The challenge of merging food safety diagnostic needs with quantitative PCR platforms. Trends Food Sci Technol 2011. [DOI: 10.1016/j.tifs.2011.02.009] [Citation(s) in RCA: 48] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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32
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Silva DSP, Canato T, Magnani M, Alves J, Hirooka EY, de Oliveira TCRM. Multiplex PCR for the simultaneous detection of Salmonella spp. and Salmonella Enteritidis in food. Int J Food Sci Technol 2011. [DOI: 10.1111/j.1365-2621.2011.02646.x] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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33
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Cevallos-Cevallos JM, Danyluk MD, Reyes-De-Corcuera JI. GC-MS Based Metabolomics for Rapid Simultaneous Detection of Escherichia coli O157:H7, Salmonella Typhimurium, Salmonella Muenchen, and Salmonella Hartford in Ground Beef and Chicken. J Food Sci 2011; 76:M238-46. [DOI: 10.1111/j.1750-3841.2011.02132.x] [Citation(s) in RCA: 55] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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34
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Tennant SM, Zhang Y, Galen JE, Geddes CD, Levine MM. Ultra-fast and sensitive detection of non-typhoidal Salmonella using microwave-accelerated metal-enhanced fluorescence ("MAMEF"). PLoS One 2011; 6:e18700. [PMID: 21494634 PMCID: PMC3073000 DOI: 10.1371/journal.pone.0018700] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2011] [Accepted: 03/08/2011] [Indexed: 01/11/2023] Open
Abstract
Certain serovars of Salmonella enterica subsp. enterica cause invasive disease (e.g., enteric fever, bacteremia, septicemia, meningitis, etc.) in humans and constitute a global public health problem. A rapid, sensitive diagnostic test is needed to allow prompt initiation of therapy in individual patients and for measuring disease burden at the population level. An innovative and promising new rapid diagnostic technique is microwave-accelerated metal-enhanced fluorescence (MAMEF). We have adapted this assay platform to detect the chromosomal oriC locus common to all Salmonella enterica subsp. enterica serovars. We have shown efficient lysis of biologically relevant concentrations of Salmonella spp. suspended in bacteriological media using microwave-induced lysis. Following lysis and DNA release, as little as 1 CFU of Salmonella in 1 ml of medium can be detected in <30 seconds. Furthermore the assay is sensitive and specific: it can detect oriC from Salmonella serovars Typhi, Paratyphi A, Paratyphi B, Paratyphi C, Typhimurium, Enteritidis and Choleraesuis but does not detect Escherichia coli, Pseudomonas aeruginosa, Klebsiella pneumoniae, Streptococcus pneumoniae, Haemophilus influenzae or Acinetobacter baumanii. We have also performed preliminary experiments using a synthetic Salmonella oriC oligonucleotide suspended in whole human blood and observed rapid detection when the sample was diluted 1∶1 with PBS. These pre-clinical data encourage progress to the next step to detect Salmonella in blood (and other ordinarily sterile, clinically relevant body fluids).
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Affiliation(s)
- Sharon M Tennant
- Center for Vaccine Development, University of Maryland School of Medicine, Baltimore, Maryland, United States of America.
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35
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Gorski L, Liang AS. Effect of enrichment medium on real-time detection of Salmonella enterica from lettuce and tomato enrichment cultures. J Food Prot 2010; 73:1047-56. [PMID: 20537259 DOI: 10.4315/0362-028x-73.6.1047] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Three enrichment broths commonly used for detection of Salmonella (buffered peptone water [BPW], tryptic soy broth [TSB], and universal preenrichment broth [UPB]) were compared for use in real-time SYBR Green PCR detection of Salmonella introduced into enrichment cultures made from store-bought lettuce and tomatoes. The produce served as a source of normal plant microbiota to measure how well DNA-based detection methods for Salmonella work in a suspension of plant-associated bacteria that may be closely related to Salmonella. A qualitative assessment of the background microbiota that grew in the three enrichment broths cultures from tomato and lettuce samples revealed that different bacteria predominated in the different broths. Results obtained with five produce-related outbreak Salmonella strains and PCR primers directed toward three different Salmonella genes suggest that the ability to detect Salmonella from these enrichment cultures by real-time PCR was 10 to 1,000 times better with TSB enrichment cultures. Detection levels were similar between the different enrichment media when an immunomagnetic separation method was used; however, the immunological technique did not enhance detection from TSB enrichment cultures. Detection could be affected by the medium and by the background microbiota. An immunomagnetic separation method may be useful in BPW and UPB enrichment cultures but not in TSB enrichment cultures.
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Affiliation(s)
- Lisa Gorski
- U.S. Department of Agriculture, Agricultural Research Service, Produce Safety and Microbiology Research Unit, Albany, California 94710, USA.
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36
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Tomás D, Rodrigo A, Hernández M, Ferrús MA. Validation of Real-Time PCR and Enzyme-Linked Fluorescent Assay-Based Methods for Detection of Salmonella spp. in Chicken Feces Samples. FOOD ANAL METHOD 2009. [DOI: 10.1007/s12161-009-9082-3] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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