巴拉尼和罗伯茨模型的30年:预测,预防措施,风险评估,以及其他方面
Dhruba Dey1, Debapriya Mukherjee, Pallab Ghosh
1Department of Undergraduate Programme, Indian Institute of Science, Bengaluru, India.
Journal of biosciences
|August 12, 2025
概括
巴拉尼和罗伯茨模型通过结合现实的条件和建模滞后时间来增强食品安全中的微生物生长预测. 这种模式对于食品安全制度至关重要,即使经过了30年.
科学领域:
- 食品科学 食品科学 食品科学
- 微生物学 微生物学
- 数学建模的数学建模
背景情况:
- 食品安全至关重要,微生物的生长会影响经济和公共卫生.
- 现有的微生物生长的数学模型往往会损害一般性,现实性或精度.
- 巴拉尼和罗伯茨模型是后勤模型的延伸,是为了提高现实性而开发的.
研究的目的:
- 审查Baranyi和罗伯茨模型用于食品安全中的微生物生长预测.
- 讨论模型的灵活性,推断和持续相关性.
- 解释调整因子并探索未来的研究方向.
主要方法:
- 对Baranyi和Roberts模型及其应用的文献综述.
- 分析模型的现实性属性,包括滞后时间建模.
- 讨论模型推断和调整因子.
主要成果:
- 巴拉尼和罗伯茨模型成功地结合了现实主义,有效地建模了滞后时间.
- 模型的灵活性通过推断提高了它的适用性.
- 审查证实了该模型在30多年来在食品安全方面的持久重要性.
结论:
- 巴拉尼和罗伯茨模型是预测食品安全中的微生物生长的一个强有力的工具.
- 对模型假设的生物化学基础的进一步研究可以提高预测准确性.
- 该模型的持续相关性强调了其在保护商业食品方面的重要性.
相关概念视频
Models of Health Promotion and Illness Prevention I
2.2K
A model is a theoretical way to understand a concept or an idea. Models can overcome barriers to health regardless of diverse economic and cultural backgrounds. In addition, models make the task easier by providing different ways to approach complex issues. There are two major health promotion models: the health belief model and the health promotion model.
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
2.2K
Models of Health Promotion and Illness Prevention II
1.7K
The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
The agent-host-environment model states that disease results...
The agent-host-environment model states that disease results...
1.7K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
174
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
174
Modeling in Therapy
145
Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
145
Three-Compartment Open Model
428
The three-compartment open model is a pharmacokinetic model used to describe the distribution and elimination of drugs following extravascular administration. It comprises a central compartment representing the plasma and two peripheral compartments. The highly perfused peripheral compartment represents organs and tissues with a rich blood supply, such as the liver, kidneys, and lungs. The scarcely perfused peripheral compartment represents tissues with lower blood supply, such as adipose...
428
Assumptions of Survival Analysis
197
Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
197


