Generation and Characterization of a Library of Novel Biologically Active Functional Surfactants (Surfmers) Using Combined High-Throughput Methods

材料科学 微流控 表征(材料科学) 纳米技术 高通量筛选 肺表面活性物质 吞吐量 组合化学 化学工程 计算机科学 化学 生物化学 电信 工程类 无线
作者
Valentina Cuzzucoli Crucitti,Leonardo Contreas,Vincenzo Taresco,Shaun C. Howard,Adam A. Dundas,Marion J. Limo,Takasi Nisisako,Philip M. Williams,Paul Williams,Morgan R. Alexander,Ricky D. Wildman,Benjamin W. Muir,Derek J. Irvine
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
卷期号:13 (36): 43290-43300 被引量:8
标识
DOI:10.1021/acsami.1c08662
摘要

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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
味真足发布了新的文献求助10
1秒前
仁谷居士发布了新的文献求助10
1秒前
充电宝应助灵巧的远山采纳,获得10
1秒前
1秒前
无花果应助月亮采纳,获得10
3秒前
CodeCraft应助Delta采纳,获得10
5秒前
5秒前
5秒前
6秒前
8秒前
8秒前
Ava应助阿碧采纳,获得10
9秒前
12秒前
北雁发布了新的文献求助10
13秒前
14秒前
英姑应助班班采纳,获得10
16秒前
我是小汪应助29采纳,获得10
16秒前
18秒前
19秒前
19秒前
Nexus应助zyjsunye采纳,获得10
19秒前
happystar发布了新的文献求助10
19秒前
打打应助开放幻柏采纳,获得10
19秒前
852应助强风吹拂采纳,获得10
20秒前
吴筮完成签到,获得积分10
20秒前
田同学发布了新的文献求助10
22秒前
sakura完成签到,获得积分10
23秒前
大个应助smcshutcm采纳,获得20
23秒前
molihuakai应助happystar采纳,获得10
25秒前
晓槐完成签到,获得积分10
26秒前
快乐吗猪发布了新的文献求助10
26秒前
27秒前
pengpengpeng完成签到,获得积分10
27秒前
香蕉觅云应助魔神人采纳,获得20
29秒前
29秒前
Starry发布了新的文献求助10
30秒前
科研通AI6.1应助asyzc0采纳,获得10
31秒前
sunshine完成签到,获得积分10
31秒前
田同学完成签到,获得积分10
32秒前
34秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Developing Genetic Editing Tools for Lysobacter 2000
Моделирование процессов самоорганизации в кристаллообразующих системах 1000
Adhesion Science: Principles & Practice 800
Signals, Systems, and Signal Processing 610
IEST-RP-CC018: Cleanroom Cleaning and Sanitization: Operating and Monitoring Procedures 600
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6527016
求助须知:如何正确求助?哪些是违规求助? 8320153
关于积分的说明 17809795
捐赠科研通 5628779
什么是DOI,文献DOI怎么找? 2930053
邀请新用户注册赠送积分活动 1906735
关于科研通互助平台的介绍 1766314