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Lan J, Yang S, Wang YU, Guo N, Liu XU, Zhu K, Gong P, Lv S. Evaluation of Microbial Contamination in Cold Dishes and Prevalence of Foodborne Pathogens in Jilin Province. J Food Prot 2022; 85:728-734. [PMID: 34982815 DOI: 10.4315/jfp-21-328] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 12/21/2021] [Indexed: 11/11/2022]
Abstract
ABSTRACT This study evaluated the microbial contamination status of cold dishes consumed by residents of Jilin Province and investigated to determine the incidence of four pathogenic bacteria in cold dishes. A total of 300 samples of cold dishes, including meat, vegetable, and mixed products, were collected from three purchasing places: supermarkets, farmers' markets, and mobile vendors. Viable bacteria were isolated using conventional culture methods. After separation, a quick and easy PCR was used to detect Listeria monocytogenes, Staphylococcus aureus, enterotoxigenic Escherichia coli, and Salmonella. The results showed that the total number of microbial colonies in the vegetable samples exceeded the standard rate of 8% and the total number of microbial colonies in the meat and mixed samples did not exceed the standard. The total microbial colony count exceeded the standard in all three procurement sites, with the highest exceedance of 7.4% in the mobile vendor sites. The detection rates of enterotoxigenic E. coli, S. aureus, L. monocytogenes, and Salmonella, among the four pathogenic bacteria detected in all samples, were 4.3, 3.3, 3.0, and 1.0%, respectively. This study can be used to qualitatively assess the microbiological quality associated with cold dishes. It provides data to support the detection of possible food safety problems. HIGHLIGHTS
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Affiliation(s)
- Jiaqi Lan
- Key Laboratory for Molecular Enzymology and Engineering of the Ministry of Education, School of Life Science, Jilin University, Changchun 130021, China
| | - Shuo Yang
- Key Laboratory for Molecular Enzymology and Engineering of the Ministry of Education, School of Life Science, Jilin University, Changchun 130021, China
| | - Y U Wang
- Key Laboratory for Molecular Enzymology and Engineering of the Ministry of Education, School of Life Science, Jilin University, Changchun 130021, China
| | - Nan Guo
- Key Laboratory for Molecular Enzymology and Engineering of the Ministry of Education, School of Life Science, Jilin University, Changchun 130021, China
| | - X U Liu
- Key Laboratory for Molecular Enzymology and Engineering of the Ministry of Education, School of Life Science, Jilin University, Changchun 130021, China.,School of Food Engineering, Jilin Engineering Normal University, Changchun 130052, China
| | - Ketong Zhu
- Key Laboratory for Molecular Enzymology and Engineering of the Ministry of Education, School of Life Science, Jilin University, Changchun 130021, China.,School of Food Engineering, Jilin Engineering Normal University, Changchun 130052, China
| | - Pingsheng Gong
- Key Laboratory for Molecular Enzymology and Engineering of the Ministry of Education, School of Life Science, Jilin University, Changchun 130021, China
| | - Shaowu Lv
- Key Laboratory for Molecular Enzymology and Engineering of the Ministry of Education, School of Life Science, Jilin University, Changchun 130021, China
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Dhital R, Shen Z, Zhang S, Mustapha A. Detection of virulence and extended spectrum β-lactamase genes in Salmonella by multiplex high-resolution melt curve real-time PCR assay. J Appl Microbiol 2021; 132:2355-2367. [PMID: 34689400 DOI: 10.1111/jam.15334] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2021] [Revised: 09/29/2021] [Accepted: 10/17/2021] [Indexed: 11/29/2022]
Abstract
AIMS Develop and standardize multiplex high-resolution melt curve (HRM) real-time PCR assays for simultaneous detection of Salmonella virulence and extended spectrum β-lactamase (ESBL) genes in food. METHODS AND RESULTS Two sets of multiplex real-time PCR assays targeting six virulence and three ESBL genes with internal amplification control were standardized. The first assay detected hilA, fimH, sipA, blaTEM and blaSHV, and the second detected invA, fimA, stn and blaCMY . The PCR assays were validated with DNA samples from 77 different Salmonella strains. The assay specificity was tested with DNA from 47 non-Salmonella strains. Melt curve analyses showed distinct, well-separated melting peaks of each target gene detected by their respective melting temperatures (Tm ). Different food samples were spiked with 10, 102 and 103 CFU/ml of Salmonella. The optimized assays were able to detect all target genes in concentrations of as low as 10 CFU/ml in 25 g foods within 10 h of enrichment. CONCLUSIONS Multiplex HRM real-time PCR assays can be used as rapid detection methods for detecting Salmonella in foods. SIGNIFICANCE AND IMPACT OF STUDY The assays developed in this study will allow for accurate detection of virulence and ESBL genes in Salmonella that are present in low concentrations in food samples.
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Affiliation(s)
- Rajiv Dhital
- Food Science Program, University of Missouri, Columbia, Missouri, USA
| | - Zhenyu Shen
- Veterinary Diagnostic Laboratory, University of Missouri, Columbia, Missouri, USA
| | - Shuping Zhang
- Veterinary Diagnostic Laboratory, University of Missouri, Columbia, Missouri, USA
| | - Azlin Mustapha
- Food Science Program, University of Missouri, Columbia, Missouri, USA
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Mohsina K, Kaur M, Bowman JP, Powell S, Tamplin ML. qPCR quantification of Carnobacterium maltaromaticum, Brochothrix thermosphacta, and Serratia liquefaciens growth kinetics in mixed culture. J Microbiol Methods 2020; 175:105961. [PMID: 32479869 DOI: 10.1016/j.mimet.2020.105961] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 05/18/2020] [Accepted: 05/18/2020] [Indexed: 10/24/2022]
Abstract
Quantifying growth kinetics of specific spoilage microorganisms in mixed culture is required to describe the evolution of food microbiomes. A qPCR method was developed to selectively amplify individual meat spoilage bacteria, Carnobacterium maltaromaticum, Brochothrix thermosphacta and Serratia liquefaciens, within a broth medium designed to simulate the composition of beef. An optimized method of DNA extraction was produced for standard curve construction. Method specificity was determined by individual single peaks in melt curves. Reaction efficiency for standard curves of C. maltaromaticum, B. thermosphacta and S. liquefaciens was high (R2 = 0.98-0.99), and linear quantification was achieved over a 5 log CFU/ml range. Coefficient of variation was calculated considering both threshold cycle (Ct) and bacterial concentration; the value did not exceed 14% for inter- or intra-runs for either method. Comparison of growth kinetic parameters derived from plate count and qPCR showed no significant variation (P > .05) for growth rate (GR) and maximum population density (MPD); lag phase duration (LPD) was not included in this comparison due to high innate variability. Log quantification of each isolate was validated in a mixed-culture experiment for all three species with qPCR and plate count differing less than 0.3 log CFU/ml (average 0.10 log CFU/ml, R2 = 0.98).
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Affiliation(s)
- Kaniz Mohsina
- Tasmanian Institute of Agriculture, University of Tasmania, Private Bag 54, Hobart, Tasmania 7001, Australia.
| | - Mandeep Kaur
- Tasmanian Institute of Agriculture, University of Tasmania, Private Bag 54, Hobart, Tasmania 7001, Australia.
| | - John P Bowman
- Tasmanian Institute of Agriculture, University of Tasmania, Private Bag 54, Hobart, Tasmania 7001, Australia.
| | - Shane Powell
- Tasmanian Institute of Agriculture, University of Tasmania, Private Bag 54, Hobart, Tasmania 7001, Australia.
| | - Mark L Tamplin
- Tasmanian Institute of Agriculture, University of Tasmania, Private Bag 54, Hobart, Tasmania 7001, Australia.
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Martínez-Pérez P, Hyndman TH, Fleming PA. Salmonella in Free-Ranging Quokkas ( Setonix brachyurus) from Rottnest Island and the Mainland of Western Australia. Animals (Basel) 2020; 10:E585. [PMID: 32244325 PMCID: PMC7222713 DOI: 10.3390/ani10040585] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2020] [Revised: 03/26/2020] [Accepted: 03/28/2020] [Indexed: 01/02/2023] Open
Abstract
Salmonella is a genus of Gram-negative, motile, and facultative anaerobic bacteria with a worldwide distribution that contaminates multiple substrates (vegetation, food, soil, and water) and inhabits the gastrointestinal tract of birds, reptiles, and mammals, including humans. Rottnest Island is a popular tourist destination and is abundantly inhabited by quokkas (Setonix brachyurus), a charismatic small wallaby. Current data on the association between Salmonella and quokkas on Rottnest Island are outdated by approximately 30 years. Additionally, previous studies on quokkas on this island and mainland Western Australia did not perform physical examinations or any diagnostic tests. The aim of the project was to assess the prevalence of Salmonella spp. in quokkas from Rottnest Island and mainland Western Australia and correlate the presence of the bacterium with the health of the animal. Ninety-two quokkas from Rottnest Island (n = 71) and populations on the mainland (n = 21) were screened for Salmonella, and a prevalence of 47.9% and 4.8%, respectively, was determined. A total of 16 serovars were identified from 37 isolates; five of these serovars had previously not been described in the quokka. Salmonella appeared to have an effect on the haematology and blood chemistry of quokkas on Rottnest Island consistent with subclinical salmonellosis. The health of Rottnest Island quokkas, and their potential impact on the health of the visitors to the island, should continue to be monitored carefully.
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Affiliation(s)
| | - Timothy H. Hyndman
- College of Science, Health, Engineering and Education of Murdoch University, Murdoch, Western Australia 6150, Australia; (P.M.-P.); (P.A.F.)
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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: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Yüce M, Kurt H, Hussain B, Ow‐Yang CW, Budak H. Exploiting Stokes and anti‐Stokes type emission profiles of aptamer‐functionalized luminescent nanoprobes for multiplex sensing applications. ChemistrySelect 2018. [DOI: 10.1002/slct.201801008] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Meral Yüce
- Sabanci University SUNUM Nanotechnology Research Centre 34956 Istanbul Turkey
| | - Hasan Kurt
- School of Engineering and Natural SciencesIstanbul Medipol University 34810 Istanbul Turkey
| | - Babar Hussain
- Faculty of Engineering and Natural SciencesSabanci University 34956 Istanbul Turkey
| | - Cleva W. Ow‐Yang
- Sabanci University SUNUM Nanotechnology Research Centre 34956 Istanbul Turkey
- Faculty of Engineering and Natural SciencesSabanci University 34956 Istanbul Turkey
| | - Hikmet Budak
- Faculty of Engineering and Natural SciencesSabanci University 34956 Istanbul Turkey
- Cereal Genomics LabMontana State University, Bozeman, MT USA
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Mack JD, Yehualaeshet T, Park M, Tameru B, Samuel T, Chin BA. Phage‐Based Biosensor and Optimization of Surface Blocking Agents to Detect
Salmonella
Typhimurium on Romaine Lettuce. J Food Saf 2016. [DOI: 10.1111/jfs.12299] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Affiliation(s)
- Jacqueline D. Mack
- Department of Pathobiology, College of Veterinary Medicine, Nursing and Allied HealthTuskegee UniversityTuskegee AL36088
| | - Teshome Yehualaeshet
- Department of Pathobiology, College of Veterinary Medicine, Nursing and Allied HealthTuskegee UniversityTuskegee AL36088
| | - Mi‐Kyung Park
- Kyungpook National UniversitySchool of Food Science and BiotechnologyDaegu Korea
| | - Berhanu Tameru
- Department of Pathobiology, Center for Computational EpidemiologyBioinformatics and Risk Analysis and Biomedical Information Management Systems, Tuskegee UniversityTuskegee AL36088
| | - Temesgen Samuel
- Department of Pathobiology, College of Veterinary Medicine, Nursing and Allied HealthTuskegee UniversityTuskegee AL36088
| | - Bryan A. Chin
- Department of Materials Engineering, Material Research and Education CenterAuburn UniversityAuburn AL36832
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