使用拓指数和回归模型对食品防腐剂进行比较QSPR研究
1Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, 632 014, India.
Scientific reports
|July 8, 2025
概括
这项研究使用定量结构属性关系 (QSPR) 分析开发了食品防腐剂特性的预测模型. 立方回归模型显示了对蒸汽密度和分子重量等属性的最佳预测能力.
科学领域:
- 食品科学 食品科学 食品科学
- 计算化学的计算化学
- 预测建模预测建模
背景情况:
- 食品防腐剂对于延长保质期至关重要.
- 了解物理化学特性有助于设计有效和安全的防腐剂.
研究的目的:
- 开发一个定量结构属性关系 (QSPR) 模型来预测食品防腐剂的物理化学性质.
- 为了比较线性和曲线性回归模型的预测性能.
主要方法:
- 使用了量化结构属性关系 (QSPR) 方法.
- 在模型开发中使用拓索引.
- 比较线性和曲线性回归模型,包括立方回归.
主要成果:
- 立方回归模型表现出卓越的预测性能.
- 该模型准确地预测了诸如蒸汽密度和分子重量等属性.
- 使用酸的验证证实了该模型的适用性.
结论:
- 使用拓指数的QSPR建模为预测食品防腐剂性能提供了强大的方法.
- 立方回归模型提供了更高的预测准确性.
- 这种方法可以指导新型和改进的食品防腐剂的开发.
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