通过液体/液体接口在3D立体动态网络中生成模式和信息传输,以响应金属效应器
Artem Osypenko1, Sébastien Dhers1, Jean-Marie Lehn1
1Laboratoire de Chimie Supramoléculaire, Institut de Science et d'Ingénierie Supramoléculaires (ISIS) , Université de Strasbourg , 8 allée Gaspard Monge , 67000 Strasbourg , France.
Journal of the American Chemical Society
|August 1, 2019
概括
这项研究表明动态共价库 (DCL) 如何生成分布信号,模仿生物系统. 作为效应器的金属会在这些库中诱导独特的动态模式来处理信息.
科学领域:
- 超分子化学
- 化学系统生物学
- 信息理论
背景情况:
- 人类的嗅觉使用组合信号来辨别气味.
- 动态共价图书馆 (DCL) 提供了可适应的分子系统.
- 化学系统中的信息处理是一个新兴领域.
研究的目的:
- 通过DCL和金属效应器来研究分布信号的产生.
- 通过分隔的DCL来探索信息传输.
- 分析DCL对不同效应器产生的动态模式.
主要方法:
- 使用由金属的配体组成的动态共价库 (DCL).
- 使用不混合的溶剂 (水和) 的分区,形成3D结构动态网络 (CDN).
- 应用图案识别技术,如等级集群分析 (HCA) 和主要组件分析 (PCA) 来分析DCL输出.
主要成果:
- 作为效应体的金属离子在DCL中诱导了不同的结构分布.
- 分区化通过3D CDN促进了输入 (IN-phase) 和输出 (OUT-phase) 领域之间的信息传输.
- 模式识别成功地根据诱导的动态模式或指纹来区分不同的效应器.
- 对 [5 × 5] DCL 的分析显示了效应区分的特定领域.
结论:
- DCL可以产生类似于生物感官系统的分布信号和动态模式.
- 信息处理依赖于组件分布的转变而不是特定的约束事件.
- CDN 方法可以在化学系统中实现信息传输和模式识别.
- 这项工作为扩展DCL用于复杂的信息处理任务提供了基础.
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