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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: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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2
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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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3
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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: 5.3] [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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Srbova J, Krulisova P, Holubova L, Pereiro I, Bendali A, Hamiot A, Podzemna V, Macak J, Dupuy B, Descroix S, Viovy JL, Bilkova Z. Advanced immunocapture of milk-borne Salmonella
by microfluidic magnetically stabilized fluidized bed. Electrophoresis 2017; 39:526-533. [DOI: 10.1002/elps.201700257] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2017] [Revised: 08/25/2017] [Accepted: 08/25/2017] [Indexed: 11/11/2022]
Affiliation(s)
- Jana Srbova
- Department of Biological and Biochemical Sciences, Faculty of Chemical Technology; University of Pardubice; Pardubice Czech Republic
| | - Pavla Krulisova
- Department of Biological and Biochemical Sciences, Faculty of Chemical Technology; University of Pardubice; Pardubice Czech Republic
| | - Lucie Holubova
- Department of Biological and Biochemical Sciences, Faculty of Chemical Technology; University of Pardubice; Pardubice Czech Republic
| | - Iago Pereiro
- Macromolecules and Microsystems in Biology and Medicine; Institute Curie; Paris France
- Sorbonne Universités; UPMC Univ Paris 06; Paris France
- Institut Pierre-Gilles de Gennes; Paris France
| | - Amel Bendali
- Macromolecules and Microsystems in Biology and Medicine; Institute Curie; Paris France
- Sorbonne Universités; UPMC Univ Paris 06; Paris France
- Institut Pierre-Gilles de Gennes; Paris France
| | - Audrey Hamiot
- Laboratory of Pathogenesis of Bacterial Anaerobes, Department of Microbiology; Institut Pasteur; Paris France
| | - Veronika Podzemna
- Center of Materials and Nanotechnologies, Faculty of Chemical Technology; University of Pardubice; Pardubice Czech Republic
| | - Jan Macak
- Center of Materials and Nanotechnologies, Faculty of Chemical Technology; University of Pardubice; Pardubice Czech Republic
| | - Bruno Dupuy
- Laboratory of Pathogenesis of Bacterial Anaerobes, Department of Microbiology; Institut Pasteur; Paris France
- University Paris Diderot; Paris France
| | - Stephanie Descroix
- Macromolecules and Microsystems in Biology and Medicine; Institute Curie; Paris France
- Sorbonne Universités; UPMC Univ Paris 06; Paris France
- Institut Pierre-Gilles de Gennes; Paris France
| | - Jean-Louis Viovy
- Macromolecules and Microsystems in Biology and Medicine; Institute Curie; Paris France
- Sorbonne Universités; UPMC Univ Paris 06; Paris France
- Institut Pierre-Gilles de Gennes; Paris France
| | - Zuzana Bilkova
- Department of Biological and Biochemical Sciences, Faculty of Chemical Technology; University of Pardubice; Pardubice Czech Republic
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He P, Zhu G, Luo J, Wang H, Yan Y, Chen L, Gao W, Chen Z. Development and Application of a One-Tube Multiplex Real-Time PCR with Melting Curve Analysis for Simultaneous Detection of Five Foodborne Pathogens in Food Samples. J Food Saf 2016. [DOI: 10.1111/jfs.12297] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Affiliation(s)
- Peiyan He
- Jiaxing Center for Disease Control and Prevention; Jiaxing 314050 P.R. China
| | - Guoying Zhu
- Jiaxing Center for Disease Control and Prevention; Jiaxing 314050 P.R. China
| | - Jianyong Luo
- Jiaxing Center for Disease Control and Prevention; Jiaxing 314050 P.R. China
| | - Henghui Wang
- Jiaxing Center for Disease Control and Prevention; Jiaxing 314050 P.R. China
| | - Yong Yan
- Jiaxing Center for Disease Control and Prevention; Jiaxing 314050 P.R. China
| | - Lixia Chen
- Jiaxing Center for Disease Control and Prevention; Jiaxing 314050 P.R. China
| | - Wenjie Gao
- Jiaxing Center for Disease Control and Prevention; Jiaxing 314050 P.R. China
| | - Zhongwen Chen
- Jiaxing Center for Disease Control and Prevention; Jiaxing 314050 P.R. China
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Gokduman K, Avsaroglu MD, Cakiris A, Ustek D, Gurakan GC. Recombinant plasmid-based quantitative Real-Time PCR analysis of Salmonella enterica serotypes and its application to milk samples. J Microbiol Methods 2016; 122:50-8. [PMID: 26820062 DOI: 10.1016/j.mimet.2016.01.008] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2015] [Revised: 01/15/2016] [Accepted: 01/15/2016] [Indexed: 10/22/2022]
Abstract
The aim of the current study was to develop, a new, rapid, sensitive and quantitative Salmonella detection method using a Real-Time PCR technique based on an inexpensive, easy to produce, convenient and standardized recombinant plasmid positive control. To achieve this, two recombinant plasmids were constructed as reference molecules by cloning the two most commonly used Salmonella-specific target gene regions, invA and ttrRSBC. The more rapid detection enabled by the developed method (21 h) compared to the traditional culture method (90 h) allows the quantitative evaluation of Salmonella (quantification limits of 10(1)CFU/ml and 10(0)CFU/ml for the invA target and the ttrRSBC target, respectively), as illustrated using milk samples. Three advantages illustrated by the current study demonstrate the potential of the newly developed method to be used in routine analyses in the medical, veterinary, food and water/environmental sectors: I--The method provides fast analyses including the simultaneous detection and determination of correct pathogen counts; II--The method is applicable to challenging samples, such as milk; III--The method's positive controls (recombinant plasmids) are reproducible in large quantities without the need to construct new calibration curves.
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Affiliation(s)
- Kurtulus Gokduman
- Department of Biotechnology, Middle East Technical University, 06800 Ankara, Turkey.
| | - M Dilek Avsaroglu
- Department of Agricultural Biotechnology, Ahi Evran University, 40100 Kirsehir, Turkey
| | - Aris Cakiris
- Institute of Experimental Medical Research, Istanbul University, 34393 Istanbul, Turkey
| | - Duran Ustek
- Institute of Experimental Medical Research, Istanbul University, 34393 Istanbul, Turkey
| | - G Candan Gurakan
- Department of Biotechnology, Middle East Technical University, 06800 Ankara, Turkey; Department of Food Engineering, Middle East Technical University, 06800 Ankara, Turkey
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Wang S, Zhang Y, An W, Wei Y, Liu N, Chen Y, Shuang S. Magnetic relaxation switch immunosensor for the rapid detection of the foodborne pathogen Salmonella enterica in milk samples. Food Control 2015. [DOI: 10.1016/j.foodcont.2015.02.031] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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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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Mortari A, Lorenzelli L. Recent sensing technologies for pathogen detection in milk: A review. Biosens Bioelectron 2014; 60:8-21. [DOI: 10.1016/j.bios.2014.03.063] [Citation(s) in RCA: 65] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2013] [Revised: 03/07/2014] [Accepted: 03/26/2014] [Indexed: 01/30/2023]
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Shinozaki Y, Harada Y. Rapid detection of bacteria in green tea using a novel pretreatment method in a bioluminescence assay. J Food Prot 2014; 77:941-7. [PMID: 24853516 DOI: 10.4315/0362-028x.jfp-13-418] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Tea is one of the most popular beverages consumed in the world, and green tea has become a popular beverage in Western as well as Asian countries. A novel pretreatment method for a commercial bioluminescence assay to detect bacteria in green tea was developed and evaluated in this study. Pretreatment buffers with pH levels ranging from 6.0 to 9.0 were selected from MES (morpholineethanesulfonic acid), HEPES (N-2-hydroxyethylpiperazine-N'-2-ethanesulfonic acid), or Tricine buffers. To evaluate the effect of pretreatment and the performance of the assay, serially diluted cultures of Enterobacter cloacae, Escherichia coli, Bacillus subtilis, and Staphylococcus aureus were tested. The improved methods, which consisted of a pretreatment of the sample in alkaline buffer, significantly decreased the background bioluminescence intensity of green tea samples when compared with the conventional method. Pretreatment with alkaline buffers with pH levels ranging from 8.0 to 9.0 increased the bioluminescence intensities of cultures of E. cloacae and S. aureus. Strong log-linear relationships between the bioluminescence intensities and plate counts emerged for the tested strains. Furthermore, the microbial detection limit was 15 CFU in 500 ml of bottled green tea after an 8-h incubation at 35°C and an assay time of 1 h. The results showed that contaminated samples could be detected within 1 h of operation using our improved bioluminescence assay. This method could be used to test for contamination during the manufacturing process as well as for statistical sampling for quality control.
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Affiliation(s)
- Yohei Shinozaki
- Research and Development Division, Kikkoman Corporation, 399 Noda, Noda, Chiba 278-0037, Japan.
| | - Yasuhiro Harada
- Research and Development Division, Kikkoman Corporation, 399 Noda, Noda, Chiba 278-0037, Japan
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