Magnetic decoupling as a proofreading strategy for high-yield, time-efficient microscale self-assembly

微尺度化学 解耦(概率) 校对 产量(工程) 计算机科学 控制理论(社会学) 人工智能 数学 材料科学 工程类 物理 控制工程 复合材料 核磁共振 控制(管理) 数学教育 聚合酶
作者
Zexi Liang,Melody X. Lim,Qian-Ze Zhu,Francesco Mottes,Jason Z. Kim,Livia Guttieres,Conrad L. Smart,Tanner Pearson,Chrisy Xiyu Du,Michael P. Brenner,Paul L. McEuen,Itai Cohen
出处
期刊:Proceedings of the National Academy of Sciences of the United States of America [National Academy of Sciences]
卷期号:122 (35)
标识
DOI:10.1073/pnas.2502361122
摘要

Life thrives due to its remarkable ability to create complex structures through the self-assembly of proteins, nucleic acids, and other biomolecules. Achieving such complex assemblies with the same level of fidelity, reproducibility, and advanced functionality in synthetic systems, however, has remained a grand challenge. One outstanding problem is the presence of parasitic products and long-lived intermediate states that slow the reaction process and limit the yield of the final product. Biology overcomes this challenge by proofreading to recognize and disassemble parasitic products. Such local checks, however, are currently difficult to implement in available self-assembly platforms. Here, we overcome this challenge by implementing a proofreading mechanism in a self-assembly platform. Specifically, we design intermediate states that strongly couple to an external force but a final product that is decoupled and thus highly stable to external driving, such that application of external forces selectively dissociates parasitic products. To implement this idea, we introduce lithographically patterned magnetic dipoles and an applied magnetic field to drive an assembly process similar to thermal self-assembly, but with additional controls. By applying patterns of magnetic driving that selectively destabilize parasitic states, we effectively implement a proofreading strategy to enable high-yield, time-efficient self-assembly. This realization of a general proofreading mechanism bridges the gap between artificial and biological self-assembly, paving the way for advanced self-assembled materials, with applications in next generation responsive materials, biomimetic devices, and microscale machines.
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
李狗蛋完成签到,获得积分10
刚刚
刚刚
发嗲的迎天完成签到 ,获得积分10
1秒前
小丫头完成签到,获得积分10
1秒前
坚定的又莲完成签到 ,获得积分10
1秒前
setid完成签到 ,获得积分10
2秒前
bearbiscuit发布了新的文献求助30
2秒前
笑点低的代容完成签到,获得积分10
2秒前
PEIfq完成签到 ,获得积分10
2秒前
好运爆彭完成签到,获得积分10
3秒前
ccwu完成签到,获得积分10
4秒前
WHUT-Batteries完成签到,获得积分0
4秒前
唠叨的雪糕完成签到,获得积分10
5秒前
5秒前
金岁岁完成签到 ,获得积分10
5秒前
33完成签到,获得积分10
6秒前
yanny完成签到,获得积分10
7秒前
7秒前
缺缺完成签到,获得积分10
8秒前
东曦酱完成签到,获得积分10
8秒前
海北完成签到,获得积分10
8秒前
翊然甜周完成签到,获得积分10
9秒前
星星完成签到,获得积分10
9秒前
piggyfly完成签到 ,获得积分10
9秒前
gyh完成签到,获得积分10
9秒前
东风压倒西风完成签到,获得积分10
9秒前
缥缈纲完成签到,获得积分10
9秒前
醉熏的伊完成签到,获得积分10
9秒前
飞翔的荷兰人完成签到,获得积分10
9秒前
sagitar完成签到,获得积分0
9秒前
暮商零七完成签到,获得积分10
9秒前
叶子完成签到 ,获得积分10
9秒前
yu风发布了新的文献求助10
11秒前
酷酷的麦片完成签到,获得积分10
12秒前
小马甲应助朴实的pingu采纳,获得10
12秒前
重要问筠完成签到,获得积分10
12秒前
烟花应助关你西红柿啊采纳,获得10
12秒前
隐形曼青应助星星采纳,获得10
13秒前
zzzzzdz完成签到,获得积分10
13秒前
雨潇潇完成签到,获得积分10
13秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
CLSI M07 2024 500
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7247864
求助须知:如何正确求助?哪些是违规求助? 8870829
关于积分的说明 18713416
捐赠科研通 6926820
什么是DOI,文献DOI怎么找? 3198086
关于科研通互助平台的介绍 2373850
邀请新用户注册赠送积分活动 2172952