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将先进的预测微生物学技术应用于……的静态和动态生长研究。 (原文结尾不完整)

Applying advanced predictive microbiology techniques to static and dynamic growth studies of .

作者信息

Centorame Patrizia, Iannetti Luigi, Pomilio Francesco, Butler Francis

机构信息

Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise "G. Caporale" Teramo Italy.

University College Dublin Dublin Ireland.

出版信息

EFSA J. 2024 Dec 20;22(Suppl 1):e221114. doi: 10.2903/j.efsa.2024.e221114. eCollection 2024 Dec.

DOI:10.2903/j.efsa.2024.e221114
PMID:39712907
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11659738/
Abstract

This project, titled 'Listeria Control,' aimed to advance expertise across Europe in applying predictive microbiology to shelf-life studies of in ready-to-eat (RTE) products. By increasing the capacity of the two participating organisations in predictive microbiology, this initiative strengthens Europe's overall ability to manage and mitigate the risk of in RTE foods. The project's first experimental phase involved experimental trials that examined the growth of under both constant and dynamic temperature conditions. Subsequent analysis fitted existing primary growth models to the constant temperature growth data. The resulting models were then employed to predict growth under fluctuating temperature scenarios. Given the limited reported research on modelling growth in dynamic environments, this work represents a significant contribution to this emerging field. Furthermore, this fellowship facilitated collaboration between IZS-Teramo and UCD, leading to enhanced and harmonised expertise in experimental and predictive techniques for shelf-life studies - a partnership that both organisations are committed to continuing beyond the fellowship's duration.

摘要

这个名为“李斯特菌控制”的项目旨在提升欧洲在将预测微生物学应用于即食(RTE)产品保质期研究方面的专业知识。通过提高两个参与组织在预测微生物学方面的能力,该倡议增强了欧洲管理和降低即食食品中[此处原文缺失相关微生物名称]风险的整体能力。该项目的第一个实验阶段涉及实验试验,研究了[此处原文缺失相关微生物名称]在恒定和动态温度条件下的生长情况。随后的分析将现有的初级生长模型应用于恒温生长数据。然后使用所得模型预测[此处原文缺失相关微生物名称]在温度波动情况下的生长。鉴于关于在动态环境中对[此处原文缺失相关微生物名称]生长进行建模的报道研究有限,这项工作对这个新兴领域做出了重大贡献。此外,该奖学金促进了伊斯特拉莫省实验动物卫生与生产研究所(IZS - Teramo)和都柏林大学学院(UCD)之间的合作,在[此处原文缺失相关微生物名称]保质期研究的实验和预测技术方面带来了增强和协调的专业知识——这是一个两个组织都致力于在奖学金期限之后继续保持的伙伴关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30af/11659738/abceeced52ed/EFS2-22-e221114-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30af/11659738/7bf304b9d37d/EFS2-22-e221114-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30af/11659738/abceeced52ed/EFS2-22-e221114-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30af/11659738/7bf304b9d37d/EFS2-22-e221114-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30af/11659738/abceeced52ed/EFS2-22-e221114-g001.jpg

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本文引用的文献

1
Advancements in Predictive Microbiology: Integrating New Technologies for Efficient Food Safety Models.预测微生物学的进展:整合新技术以构建高效食品安全模型
Int J Microbiol. 2024 May 17;2024:6612162. doi: 10.1155/2024/6612162. eCollection 2024.
2
The Use of Predictive Microbiology for the Prediction of the Shelf Life of Food Products.预测微生物学在食品货架期预测中的应用
Foods. 2023 Dec 13;12(24):4461. doi: 10.3390/foods12244461.
3
Variability in Cold Tolerance of Food and Clinical Isolates.食品及临床分离株耐寒性的变异性
Microorganisms. 2022 Dec 26;11(1):65. doi: 10.3390/microorganisms11010065.
4
Comparison of mathematical models of lactic acid bacteria growth in vacuum-packaged raw beef stored at different temperatures.比较不同温度下真空包装生牛肉中乳酸菌生长的数学模型。
J Food Sci. 2013 Apr;78(4):M600-4. doi: 10.1111/j.1750-3841.2012.02995.x.
5
Growth kinetics and model comparison of Cronobacter sakazakii in reconstituted powdered infant formula.阪崎克罗诺杆菌在还原配方粉中的生长动力学及模型比较
J Food Sci. 2012 Sep;77(9):E247-55. doi: 10.1111/j.1750-3841.2012.02873.x. Epub 2012 Aug 17.
6
Convenient Model To Describe the Combined Effects of Temperature and pH on Microbial Growth.方便的模型来描述温度和 pH 值对微生物生长的综合影响。
Appl Environ Microbiol. 1995 Feb;61(2):610-6. doi: 10.1128/aem.61.2.610-616.1995.
7
A dynamic approach to predicting bacterial growth in food.一种预测食品中细菌生长的动态方法。
Int J Food Microbiol. 1994 Nov;23(3-4):277-94. doi: 10.1016/0168-1605(94)90157-0.
8
Mathematics of predictive food microbiology.预测性食品微生物学的数学原理
Int J Food Microbiol. 1995 Jul;26(2):199-218. doi: 10.1016/0168-1605(94)00121-l.
9
Model for bacterial culture growth rate throughout the entire biokinetic temperature range.整个生物动力学温度范围内细菌培养生长速率模型。
J Bacteriol. 1983 Jun;154(3):1222-6. doi: 10.1128/jb.154.3.1222-1226.1983.
10
Predicting microbial growth: growth responses of salmonellae in a laboratory medium as affected by pH, sodium chloride and storage temperature.预测微生物生长:实验室培养基中沙门氏菌的生长反应受pH值、氯化钠和储存温度的影响。
Int J Food Microbiol. 1988 Mar;6(2):155-78. doi: 10.1016/0168-1605(88)90051-7.