植物微生物相互作用 - - 预测病原体通过胃口内部化,使用计算神经网络建模
Linze Li1,2, Shakeel Ahmed1,2, Mukhtar Iderawumi Abdulraheem1,2
1College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China.
Foods (Basel, Switzerland)
|December 17, 2024
概括
这项研究使用神经网络来预测植物口腔如何内化病原体,如沙门氏菌. 较高的湿度显著增加了病原体内化的可能性,并减少了时间,有助于预防食物传播疾病.
科学领域:
- 植物病理学和食品安全
- 计算生物学和生物信息学
- 环境微生物学环境微生物学
背景情况:
- 食物传播疾病给公共卫生带来了重大挑战.
- 植物病原体相互作用,特别是病原体通过胃口进入,受到环境因素的影响,如湿度和温度.
- 了解这些相互作用是防止食品传播危害的关键.
研究的目的:
- 开发一种使用神经网络的计算模型,通过植物胃口预测病原体内化.
- 量化评估环境因素 (湿度,温度) 对病原体内化的影响.
- 在食品安全的背景下,为了解植物微生物相互作用提供一种新的方法.
主要方法:
- 利用神经网络的计算建模来模拟和预测病原体内部化.
- 评估了细菌病原体的内化可能性和持续时间,特别是 Salmonella enterica (S. enterica).
- 分析了不同湿度 (50%和100%) 对内部化参数的影响.
主要成果:
- 病原体内化的可能性在0.6200到0.8820之间.
- 内部化时间在4000秒到5080秒之间.
- 与50%的湿度相比,100%的湿度水平导致内部化时间缩短约1042.73s,内部化可能性增加26.2%.
结论:
- 开发的神经网络模型有效地预测了通过胃细胞的病原体内部化.
- 环境条件,特别是湿度,对病原体进入植物的速率和可能性产生重大影响.
- 这项研究提供了一种技术先进的策略,以了解和减轻食源性疾病风险.
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