Centre for Additive Manufacturing and Department of Chemical and Environmental Engineering, Faculty of Engineering, University of Nottingham, Nottingham, NG7 2RD U.K.
School of Pharmacy, University of Nottingham, Nottingham, NG7 2RD U.K.
ACS Appl Mater Interfaces. 2021 Sep 15;13(36):43290-43300. doi: 10.1021/acsami.1c08662. Epub 2021 Aug 31.
We report the first successful combination of three distinct high-throughput techniques to deliver the accelerated design, synthesis, and property screening of a library of novel, bio-instructive, polymeric, comb-graft surfactants. These three-dimensional, surface-active materials were successfully used to control the surface properties of particles by forming a unimolecular deep layer on the surface of the particles via microfluidic processing. This strategy deliberately utilizes the surfactant to both create the stable particles and deliver a desired cell-instructive behavior. Therefore, these specifically designed, highly functional surfactants are critical to promoting a desired cell response. This library contained surfactants constructed from 20 molecularly distinct (meth)acrylic monomers, which had been pre-identified by HT screening to exhibit specific, varied, and desirable bacterial biofilm inhibitory responses. The surfactant's self-assembly properties in water were assessed by developing a novel, fully automated, HT method to determine the critical aggregation concentration. These values were used as the input data to a computational-based evaluation of the key molecular descriptors that dictated aggregation behavior. Thus, this combination of HT techniques facilitated the rapid design, generation, and evaluation of further novel, highly functional, cell-instructive surfaces by application of designed surfactants possessing complex molecular architectures.
我们报告了三种不同高通量技术的首次成功结合,这些技术可加速新型生物指令性聚合物梳状表面活性剂文库的设计、合成和性能筛选。这些三维表面活性剂成功地通过微流控加工在颗粒表面形成单分子深层来控制颗粒的表面性质。该策略有意利用表面活性剂来既创建稳定的颗粒又提供所需的细胞指令行为。因此,这些专门设计的高功能表面活性剂对于促进所需的细胞反应至关重要。该文库包含由 20 种分子上不同的(甲基)丙烯酸单体构建的表面活性剂,这些单体已通过 HT 筛选预先确定为具有特定、多样和理想的细菌生物膜抑制反应。通过开发一种新颖的、全自动的 HT 方法来确定临界聚集浓度,评估了表面活性剂在水中的自组装性质。这些值被用作计算基础评估的输入数据,该评估决定了聚集行为的关键分子描述符。因此,这种高通量技术的结合通过应用具有复杂分子结构的设计表面活性剂,促进了新型、高度功能的细胞指令性表面的快速设计、生成和评估。