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液态全蛋液在不同温度条件下的生长研究:安全冷藏储存智能管理技术建议

Investigation of Growth under Varying Temperature Conditions in Liquid Whole Egg: Proposals for Smart Management Technology for Safe Refrigerated Storage.

作者信息

Baek Seung-Hee, Lim Chang-Geun, Park Jung-Il, Seo Yeon-Beom, Nam In-Sik

机构信息

Research Center for Environmentally Friendly and Quality Livestock Production Technology, Hankyong National University, Anseong-si 17579, Gyeonggi-do, Republic of Korea.

School of Animal Life Convergence Science, Hankyong National University, Anseong-si 17579, Gyeonggi-do, Republic of Korea.

出版信息

Foods. 2024 Sep 28;13(19):3106. doi: 10.3390/foods13193106.

Abstract

This study investigates the growth characteristics of () in liquid whole egg under both isothermal and non-isothermal storage conditions to understand the risks associated with inadequate temperature management in the egg industry. Using controlled laboratory simulations, liquid whole egg samples inoculated with were stored under various isothermal (5, 15, 25, 35, and 45 °C) and non-isothermal conditions (5-10, 15-20, 25-30, 35-40, and 45-50 °C). The growth behavior of the was analyzed using a two-step predictive modeling approach. First, growth kinetic parameters were estimated using a primary model, and then the effects of temperature on the estimated specific growth rate and lag time were described using a secondary model. Independent growth data under both isothermal and non-isothermal conditions were used to evaluate the models. The results showed that exhibits different growth characteristics depending on temperature conditions, emphasizing the need for strict temperature control to prevent foodborne illnesses. To address this, a predictive growth model tailored for non-isothermal conditions was developed and validated using experimental data, demonstrating its reliability in predicting behavior under dynamic temperature scenarios. Additionally, temperature management technologies were proposed and tested to improve food safety during refrigerated storage. This study provides a scientific basis for improving food safety protocols in the egg industry, thereby protecting public health and maintaining consumer confidence amid temperature fluctuations.

摘要

本研究调查了在等温及非等温储存条件下,液态全蛋液中()的生长特性,以了解蛋品行业温度管理不当所带来的风险。通过控制实验室模拟,将接种了()的液态全蛋液样本储存在各种等温条件(5、15、25、35和45℃)及非等温条件(5 - 10、15 - 20、25 - 30、35 - 40和45 - 50℃)下。使用两步预测建模方法分析()的生长行为。首先,使用初级模型估计生长动力学参数,然后使用二级模型描述温度对估计的比生长速率和滞后期的影响。等温及非等温条件下的独立生长数据用于评估模型。结果表明,()根据温度条件表现出不同的生长特性,强调了严格温度控制以预防食源性疾病的必要性。为解决这一问题,开发了针对非等温条件的预测生长模型,并使用实验数据进行了验证,证明了其在预测动态温度场景下()行为的可靠性。此外,还提出并测试了温度管理技术,以改善冷藏储存期间的食品安全。本研究为改进蛋品行业的食品安全规程提供了科学依据,从而在温度波动情况下保护公众健康并维持消费者信心。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c28e/11475776/4f2f71caae59/foods-13-03106-g001a.jpg

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