Beatriz Nunes Silva , Sara Coelho-Fernandes , José António Teixeira , Vasco Cadavez , Ursula Gonzales-Barron
{"title":"Modelling the kinetics of Staphylococcus aureus in goat's raw milk under different sub-pasteurisation temperatures","authors":"Beatriz Nunes Silva , Sara Coelho-Fernandes , José António Teixeira , Vasco Cadavez , Ursula Gonzales-Barron","doi":"10.1016/j.mran.2023.100279","DOIUrl":null,"url":null,"abstract":"<div><p>In this study, the heat resistance of <em>S. aureus</em> in goats’ raw milk subjected to thermisation temperatures was characterised through tests at various temperatures and modelling the survival curves using the Weibull model, through a two-step and an omnibus approach, which can model a full dataset covering all experimental conditions in one step. The fitting capacity of the secondary models obtained from the two-step approach was reasonable (adj. R<sup>2</sup> > 0.639) and both demonstrated the negative linear effects of temperature on <span><math><msqrt><mi>χ</mi></msqrt></math></span> (<em>p</em> = 0.0004) and <span><math><msqrt><mi>β</mi></msqrt></math></span> (<em>p</em> = 0.017). The fitting capacity of the omnibus model was more satisfactory (adj. R<sup>2</sup> = 0.996) and also hinted at the negative linear effect of temperature on <span><math><msqrt><mi>χ</mi></msqrt></math></span> (<em>p</em> < 0.0001), with the added advantage that, in this model, random effects can be used to account for the variability in the parameters. Our study estimated the significant inactivation parameters and established a model capable of predicting <em>S. aureus</em> behaviour at various temperatures. This information is useful to create time-temperature tables to reach target log reductions of <em>S. aureus</em> in goats’ raw milk to be used by artisanal cheesemakers; hence providing an opportunity to increase the microbiological safety of cheeses made from unpasteurised milk.</p></div>","PeriodicalId":48593,"journal":{"name":"Microbial Risk Analysis","volume":"25 ","pages":"Article 100279"},"PeriodicalIF":3.0000,"publicationDate":"2023-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352352223000348/pdfft?md5=000a570b29c8f2b4b01b9065ebbda8a5&pid=1-s2.0-S2352352223000348-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Microbial Risk Analysis","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352352223000348","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
In this study, the heat resistance of S. aureus in goats’ raw milk subjected to thermisation temperatures was characterised through tests at various temperatures and modelling the survival curves using the Weibull model, through a two-step and an omnibus approach, which can model a full dataset covering all experimental conditions in one step. The fitting capacity of the secondary models obtained from the two-step approach was reasonable (adj. R2 > 0.639) and both demonstrated the negative linear effects of temperature on (p = 0.0004) and (p = 0.017). The fitting capacity of the omnibus model was more satisfactory (adj. R2 = 0.996) and also hinted at the negative linear effect of temperature on (p < 0.0001), with the added advantage that, in this model, random effects can be used to account for the variability in the parameters. Our study estimated the significant inactivation parameters and established a model capable of predicting S. aureus behaviour at various temperatures. This information is useful to create time-temperature tables to reach target log reductions of S. aureus in goats’ raw milk to be used by artisanal cheesemakers; hence providing an opportunity to increase the microbiological safety of cheeses made from unpasteurised milk.
期刊介绍:
The journal Microbial Risk Analysis accepts articles dealing with the study of risk analysis applied to microbial hazards. Manuscripts should at least cover any of the components of risk assessment (risk characterization, exposure assessment, etc.), risk management and/or risk communication in any microbiology field (clinical, environmental, food, veterinary, etc.). This journal also accepts article dealing with predictive microbiology, quantitative microbial ecology, mathematical modeling, risk studies applied to microbial ecology, quantitative microbiology for epidemiological studies, statistical methods applied to microbiology, and laws and regulatory policies aimed at lessening the risk of microbial hazards. Work focusing on risk studies of viruses, parasites, microbial toxins, antimicrobial resistant organisms, genetically modified organisms (GMOs), and recombinant DNA products are also acceptable.