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评估潜在益生菌菌株Lacticaseibacillus casei XN18对Enterobacter aerogenesATCC 13048的保护机制:一个实验和建模研究
Aref Zibaei-Rad1, Mostafa Rahmati-Joneidabad1, Behrooz Alizadeh Behbahani2
1Department of Horticultural Science, Faculty of Agriculture, Agricultural Sciences and Natural Resources University of Khuzestan, P.O. Box: 6341773637, Mollasani, Iran.
Microbial pathogenesis
|May 28, 2023
概括
Lacticaseibacillus casei XN18对模拟的胃肠道疾病表现出强大的耐药性,并表现出显著的抗氧化和抗菌性质. 高斯过程回归 (GPR) 准确地预测了益生菌的生存能力,超过了多层感知子模型.
科学领域:
- 微生物学 微生物学
- 益生菌 益生菌 益生菌
- 计算生物学 计算生物学
背景情况:
- 益生菌细菌需要通过胃肠道的生存机制.
- 评估益生菌性质和预测生存能力对于功能性食品的开发至关重要.
研究的目的:
- 为了评估Lacticaseibacillus casei XN18.i的功能性质和安全性.
- 使用机器学习开发益生菌生存能力的预测模型.
主要方法:
- 在体外评估L. casei XN18对模拟胃肠道状况,粘附,抗氧化和抗菌活性的耐药性.
- 对病原性细菌进行抗微生物敏感性测试.
- 开发和验证高斯过程回归 (GPR) 和多层感知器 (MLP) 神经网络模型,用于在不同的pH和时间条件下使用k-fold交叉验证来预测益生菌活力.
主要成果:
- L. casei XN18对模拟的胃肠道疾病表现出显著的耐药性,具有显著的疏水性,自聚,协聚,附着性,抗附着性,抗氧化活性和胆固醇同化.
- 这种菌株对Enterobacter aerogenes和Listeria monocytogenes表现出抗菌作用.
- GPR模型在预测益生菌活力方面表现出卓越的准确性,平均绝对百分比误差 (MAPE) 为1.49 ± 0.40,确定系数 (R2) 为0.98 ± 0.05,显著优于MLP模型.
结论:
- L. casei XN18具有有益的益生菌特性,包括对恶劣环境的耐药性和抗菌活性,使其适合促进健康的应用.
- GPR模型提供了一种可靠和准确的方法来预测益生菌的生存能力,这对于优化其在各种产品中的使用至关重要.
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