应用预测微生物模型估计沙门氏菌行为在整个生产过程中的环境条件下,巴西小型制造商的香肠

IF 3 4区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Microbial Risk Analysis Pub Date : 2021-12-01 DOI:10.1016/j.mran.2021.100177
Gabriela Orosco Werlang , Tatiana Regina Vieira , Marisa Cardoso , Eduardo de Freitas Costa
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引用次数: 5

摘要

发酵产品如意大利腊肠的微生物质量高度依赖于其制造过程中环境条件的相互作用。这些影响可以通过数学建模来预测,这种方法已经在几个场合被采用。本研究的目的是验证伽马概念模型,以预测沙门氏菌在巴西小型制造商的环境条件下在腊肠生产过程中的行为。此外,考虑到巴西猪肉污染水平的情况,我们模拟了沙门氏菌在意大利腊肠中的生长和灭活。萨拉米香肠片是用五种沙门氏菌的鸡尾酒精心制作的,并经过成熟处理。拟合模型构建时,发酵温度为30°C,干燥温度为20°C;25°C(发酵)和18°C(干燥)用于验证研究。分析了水活度(aw)和pH值,并列举了成熟过程中的沙门氏菌以拟合曲线。在成熟结束时回收的沙门氏菌分离株进行了宏观限制谱分析(PFGE)。拟合的Gamma概念模型参数(μopt, δ1, δ2, α)用于预测细菌的行为。在拟合模型和验证研究中,成熟过程中沙门氏菌浓度分别从7.086降至3.368 log10 cfu/g(经过941个小时),从7.751降至2.749 log10 cfu/g(经过1121.5个小时)。在拟合的模型中,aw是启动微生物失活的决定因素。在成熟结束时检测到接种在腊肠片上的所有pfge菌株。对于巴西猪肉污染情景的模拟,该模型预测,在95%的置信区间内,成熟670 h后沙门氏菌的含量为零log10 cfu/g。结果表明,考虑到巴西小型工业采用的生产特点,Gamma概念模型为预测腊肠中沙门氏菌的浓度提供了一个稳健的替代方案。该模型预测,在较高的环境温度(30°C发酵/ 20°C干燥)下,沙门氏菌可以在15天后消失。
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Application of a predictive microbiological model for estimation of Salmonella behavior throughout the manufacturing process of salami in environmental conditions of small-scale Brazilian manufacturers

The microbiological quality of fermented products such as salami are highly dependent on the interaction of environmental conditions during its fabrication. These effects may be predicted by mathematical modeling, and this approach has been adopted in several occasions. The aim of this study was to validate the Gamma concept model to predict Salmonella behavior during salami manufacturing in environmental conditions found in small scale Brazilian manufacturer. Furthermore, we simulated the growth and inactivation of Salmonella in salami considering a Brazilian scenario of contamination level of pork. Salami pieces were elaborated with a cocktail of five strains of Salmonella and subjected to maturation. For the fitted model construction, temperatures of 30°C during fermentation and 20°C during drying were used; while 25°C (fermentation) and 18°C (drying) were used in the validation study. Water activity (aw) and pH were analyzed and Salmonella enumerated during maturation for fitting the curves. Salmonella isolates recovered at the end of the maturation were subjected to macrorestriction profiling (PFGE). The parameters obtained in the fitted Gamma concept model (μopt, δ1, δ2, α) were used to predict the bacteria behaviour in the validation study. During the maturation, Salmonella concentration decreased from 7.086 to 3.368 log10 cfu/g (after 941 horas), and from 7.751 to 2.749 log10 cfu/g (after 1121.5 horas) in the fitted model and validation study, respectively. The aw was determinant for starting the microbial inactivation in the fitted model. Strains belonging to all PFGE-profiles inoculated in the salami pieces were detected in the end of the maturation. Regarding the simulation in a Brazilian scenario of pork contamination, the model predicted, in the upper 95% confidence interval, zero log10 cfu/g of Salmonella after 670 h of maturation. The results indicate that the Gamma concept model provide a robust alternative to predict the concentration of Salmonella in salami considering the characteristics of production adopted in small industries in Brazil. The model predicted that in a scenario of higher environmental temperatures (30°C fermentation/ 20°C drying) Salmonella absence can be achieved after 15 days.

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来源期刊
Microbial Risk Analysis
Microbial Risk Analysis Medicine-Microbiology (medical)
CiteScore
5.70
自引率
7.10%
发文量
28
审稿时长
52 days
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.
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