The biophysical chemistry of nanoparticle-biosystem interactions

NPs将越来越多地发现自己处于生物环境中，无论是有意的还是偶然的。上述研究计划将大大提高我们对NP关键性质的了解，这些性质可用于预测NP与包括膜和蛋白质在内的生物系统的相互作用。诸如相对电荷、NP大小和表面化学、表面张力和溶液离子强度等参数将是我们将开发的预测矩阵模型的元素。目前关于NPs环境影响的模型和NP在生物体中的分布不具备将NPs分配到膜上和膜中的预测能力。我们开发的模型将影响监管NPs的政策决策，可以直接与我们在体内的工作进行比较，并用于合理设计新的NPs。此外，我们在多伦多拥有独特的能力，可以使用MC-FCC测量分层、高阶NPs的组装动力学和平衡。这将为NP组装过程提供以前没有的数据和见解，并将对NP-蛋白质电晕动力学、NP絮凝动力学和胶体不稳定动力学有新的理解。

Increasingly NPs will find themselves in biological milieus, either purposefully or accidentally.  The research program described above will significantly advance our knowledge of the critical NP properties that can be used to predict NP interactions with biosystems including membranes and proteins. Parameters such as relative charge, NP size and surface chemistry, surface tension, and solution ionic strength will be elements of a predictive matrix model that we will develop. Current models for environmental impact of NPs and NP distributions in organisms do not possess predictive capabilities for partitioning of NPs onto and into membranes. The models we develop will influence policy decisions on regulating NPs, can be directly compared with our in vivo work, and used to rationally design new NPs. Additionally, we have a unique capability in Toronto to measure the assembly kinetics and equilibria for hierarchical, higher-order NPs using MC-FCCS. This will provide previously unavailable data and insight into the NP assembly process and will generate new understanding of NP-protein corona dynamics, NP flocculation dynamics and colloid instability dynamics.