酸粗粒型模型用于预测离子交联酸水凝的超分子结构
Raluca M Visan1, Daniel G Angelescu1
1Romanian Academy, "Ilie Murgulescu" Institute of Physical Chemistry, Splaiul Independentei 202, 060021 Bucharest, Romania.
The journal of physical chemistry. B
|May 30, 2023
概括
这项研究介绍了一种计算模型,用于与植物酸交叉连接的奇托桑水凝. 该模型预测了植物酸度如何影响网络结构和毛孔大小,这对于生物材料设计至关重要.
科学领域:
- 生物材料科学 生物材料科学
- 计算化学计算化学
- 聚合物科学 聚合物科学
背景情况:
- 植物酸是基托的生物相容交叉连接剂,形成纳米粒子和水凝.
- 了解奇托桑 - 植物酸水凝的结构基础是优化其性能的关键.
研究的目的:
- 开发一种与Martini 2.3P力场相容的粗粒度植物酸模型.
- 为了预测基酸介导的基桑水凝的交联模式和结构特征.
主要方法:
- 使用Martini 2.3P力场对 phytic 酸和 chitosan 的粗粒度参数化.
- 针对GROMOS 56ACARBO力场模拟的结合和交叉相互作用参数的优化.
- 在半稀释溶液中分析网络拓和平均孔径.
主要成果:
- 为植物酸开发了一种兼容的粗粒型模型.
- 预测的结合基因解释了基托 - 植物酸复合物的结构特征.
- 网络拓受植物酸度的影响,影响平均孔径.
结论:
- 开发的模型准确地合理化了酸盐水凝的结构特征.
- 植物酸度显著影响水凝网络拓和毛孔大小.
- 该模型提供了关于在电荷中和附近的非单调毛孔大小行为的见解.
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