Stéphanie Watier-Grillot , Christian Sauvageot , Evelyne Thiébaut , Vincent Pommier de Santi , Aurélie Chesnay
{"title":"多重聚合酶链反应与复杂食品基质的检测:大肠杆菌和沙门氏菌的初步研究。","authors":"Stéphanie Watier-Grillot , Christian Sauvageot , Evelyne Thiébaut , Vincent Pommier de Santi , Aurélie Chesnay","doi":"10.1016/j.mimet.2025.107251","DOIUrl":null,"url":null,"abstract":"<div><div>Foodborne diseases are caused by various pathogens and generally present with similar symptoms, mainly digestive disorders. Adopting a syndromic approach is therefore important when investigating foodborne disease outbreaks. This involves using multiplex PCR-based methods to test stool and food samples. In this study, the BioFire® FilmArray® Gastrointestinal Panel (BF-GIP) was evaluated as an alternative food microbiology method, in compliance with the ISO 16140-2 standard. We tested 205 naturally and artificially-contaminated mixed salad samples for <em>Escherichia</em> (<em>E.</em>) <em>coli</em> and <em>Salmonella</em> spp., comparing the results with BF-GIP and culture-based reference methods. For <em>Salmonella</em> spp., BF-GIP sensitivity was 100 % and the rate of false positives was 2.4 %, suggesting a good specificity. For <em>E. coli,</em> BF-GIP sensitivity was 92.9 %, with no significant difference from the reference method sensitivity. Shortcomings were highlighted for the accurate identification of <em>E. coli</em> strains artificially inoculated in food samples, with error percentages of 14 % and 9 % for the inclusivity and exclusivity studies respectively. BF-GIP is a suitable alternative method for the screening of <em>Salmonella</em> spp. and <em>E. coli</em> in complex food matrices, notably when investigating foodborne disease outbreaks. However, due to a lack of specificity, the determination of the <em>E. coli</em> strain(s) needs to be confirmed by a reference method.</div></div>","PeriodicalId":16409,"journal":{"name":"Journal of microbiological methods","volume":"237 ","pages":"Article 107251"},"PeriodicalIF":1.9000,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multiplex polymerase chain reaction and testing of complex food matrices: A preliminary study on E. coli and Salmonella spp\",\"authors\":\"Stéphanie Watier-Grillot , Christian Sauvageot , Evelyne Thiébaut , Vincent Pommier de Santi , Aurélie Chesnay\",\"doi\":\"10.1016/j.mimet.2025.107251\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Foodborne diseases are caused by various pathogens and generally present with similar symptoms, mainly digestive disorders. Adopting a syndromic approach is therefore important when investigating foodborne disease outbreaks. This involves using multiplex PCR-based methods to test stool and food samples. In this study, the BioFire® FilmArray® Gastrointestinal Panel (BF-GIP) was evaluated as an alternative food microbiology method, in compliance with the ISO 16140-2 standard. We tested 205 naturally and artificially-contaminated mixed salad samples for <em>Escherichia</em> (<em>E.</em>) <em>coli</em> and <em>Salmonella</em> spp., comparing the results with BF-GIP and culture-based reference methods. For <em>Salmonella</em> spp., BF-GIP sensitivity was 100 % and the rate of false positives was 2.4 %, suggesting a good specificity. For <em>E. coli,</em> BF-GIP sensitivity was 92.9 %, with no significant difference from the reference method sensitivity. Shortcomings were highlighted for the accurate identification of <em>E. coli</em> strains artificially inoculated in food samples, with error percentages of 14 % and 9 % for the inclusivity and exclusivity studies respectively. BF-GIP is a suitable alternative method for the screening of <em>Salmonella</em> spp. and <em>E. coli</em> in complex food matrices, notably when investigating foodborne disease outbreaks. However, due to a lack of specificity, the determination of the <em>E. coli</em> strain(s) needs to be confirmed by a reference method.</div></div>\",\"PeriodicalId\":16409,\"journal\":{\"name\":\"Journal of microbiological methods\",\"volume\":\"237 \",\"pages\":\"Article 107251\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2025-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of microbiological methods\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0167701225001678\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of microbiological methods","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167701225001678","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
Multiplex polymerase chain reaction and testing of complex food matrices: A preliminary study on E. coli and Salmonella spp
Foodborne diseases are caused by various pathogens and generally present with similar symptoms, mainly digestive disorders. Adopting a syndromic approach is therefore important when investigating foodborne disease outbreaks. This involves using multiplex PCR-based methods to test stool and food samples. In this study, the BioFire® FilmArray® Gastrointestinal Panel (BF-GIP) was evaluated as an alternative food microbiology method, in compliance with the ISO 16140-2 standard. We tested 205 naturally and artificially-contaminated mixed salad samples for Escherichia (E.) coli and Salmonella spp., comparing the results with BF-GIP and culture-based reference methods. For Salmonella spp., BF-GIP sensitivity was 100 % and the rate of false positives was 2.4 %, suggesting a good specificity. For E. coli, BF-GIP sensitivity was 92.9 %, with no significant difference from the reference method sensitivity. Shortcomings were highlighted for the accurate identification of E. coli strains artificially inoculated in food samples, with error percentages of 14 % and 9 % for the inclusivity and exclusivity studies respectively. BF-GIP is a suitable alternative method for the screening of Salmonella spp. and E. coli in complex food matrices, notably when investigating foodborne disease outbreaks. However, due to a lack of specificity, the determination of the E. coli strain(s) needs to be confirmed by a reference method.
期刊介绍:
The Journal of Microbiological Methods publishes scholarly and original articles, notes and review articles. These articles must include novel and/or state-of-the-art methods, or significant improvements to existing methods. Novel and innovative applications of current methods that are validated and useful will also be published. JMM strives for scholarship, innovation and excellence. This demands scientific rigour, the best available methods and technologies, correctly replicated experiments/tests, the inclusion of proper controls, calibrations, and the correct statistical analysis. The presentation of the data must support the interpretation of the method/approach.
All aspects of microbiology are covered, except virology. These include agricultural microbiology, applied and environmental microbiology, bioassays, bioinformatics, biotechnology, biochemical microbiology, clinical microbiology, diagnostics, food monitoring and quality control microbiology, microbial genetics and genomics, geomicrobiology, microbiome methods regardless of habitat, high through-put sequencing methods and analysis, microbial pathogenesis and host responses, metabolomics, metagenomics, metaproteomics, microbial ecology and diversity, microbial physiology, microbial ultra-structure, microscopic and imaging methods, molecular microbiology, mycology, novel mathematical microbiology and modelling, parasitology, plant-microbe interactions, protein markers/profiles, proteomics, pyrosequencing, public health microbiology, radioisotopes applied to microbiology, robotics applied to microbiological methods,rumen microbiology, microbiological methods for space missions and extreme environments, sampling methods and samplers, soil and sediment microbiology, transcriptomics, veterinary microbiology, sero-diagnostics and typing/identification.