Predator–prey interactions between droplets driven by non-reciprocal oil exchange

微尺度化学 化学 互惠的 集体行为 化学物理 生物系统 自组织 纳米技术 图案形成 计算机科学 人工智能 数学教育 材料科学 人类学 社会学 哲学 生物 遗传学 语言学 数学
作者
Caleb H. Meredith,Pepijn G. Moerman,Jan Groenewold,Yu‐Jen Chiu,Willem K. Kegel,Alfons van Blaaderen,Lauren D. Zarzar
出处
期刊:Nature Chemistry [Springer Nature]
卷期号:12 (12): 1136-1142 被引量:152
标识
DOI:10.1038/s41557-020-00575-0
摘要

Chemotactic interactions are ubiquitous in nature and can lead to non-reciprocal and complex emergent behaviour in multibody systems. However, developing synthetic, inanimate embodiments of a chemomechanical framework to generate non-reciprocal interactions of tunable strength and directionality has been challenging. Here we show how chemotactic signalling between microscale oil droplets of different chemistries in micellar surfactant solutions can result in predator–prey-like non-reciprocal chasing interactions. The interactions and dynamic self-organization result from the net directional, micelle-mediated transport of oil between emulsion droplets of differing composition and are powered by the free energy of mixing. We systematically elucidated chemical design rules to tune the interactions between droplets by varying the oil and surfactant chemical structure and concentration. Through the integration of experiment and simulation, we also investigated the active behaviour and dynamic reorganization of multidroplet clusters. Our findings demonstrate how chemically minimal systems can be designed with controllable, non-reciprocal chemotactic interactions to generate emergent self-organization and collective behaviours reminiscent of biological systems. Interactions that generate directed movement in response to a chemical stimulus occur in nature but have been difficult to realize in synthetic systems. Now, it has been shown that asymmetric micelle-mediated exchange of haloalkanes can be used to create tunable chasing interactions between chemically distinct microdroplets. Collective interactions lead to the formation of droplet assemblies with emergent self-organization and collective behaviours.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
tina3058完成签到,获得积分10
1秒前
2秒前
大航完成签到,获得积分10
3秒前
桐桐应助ALUCK采纳,获得10
4秒前
瑾瑜发布了新的文献求助10
5秒前
6秒前
干辣椒完成签到 ,获得积分10
6秒前
Akim应助璐璐采纳,获得10
6秒前
ruiii完成签到,获得积分10
7秒前
大炮弹发布了新的文献求助10
7秒前
Sci完成签到,获得积分10
9秒前
liuzhen完成签到 ,获得积分10
10秒前
13秒前
虚心的飞飞完成签到,获得积分10
14秒前
14秒前
纯真的冰蓝完成签到 ,获得积分10
15秒前
阳佟天川完成签到,获得积分10
15秒前
美好灵寒完成签到,获得积分10
16秒前
17秒前
18秒前
Zzzzz发布了新的文献求助10
19秒前
黑粉头头发布了新的文献求助10
20秒前
mark2021完成签到,获得积分10
21秒前
22秒前
ccs发布了新的文献求助10
23秒前
芝士土拨鼠完成签到,获得积分10
25秒前
dnmd完成签到,获得积分10
26秒前
27秒前
28秒前
龙傲天完成签到,获得积分10
30秒前
万灵竹完成签到 ,获得积分20
30秒前
jiazhou完成签到,获得积分10
31秒前
静汉发布了新的文献求助10
31秒前
32秒前
32秒前
华仔应助科研通管家采纳,获得10
32秒前
英姑应助科研通管家采纳,获得10
32秒前
Owen应助科研通管家采纳,获得10
32秒前
NexusExplorer应助科研通管家采纳,获得10
32秒前
32秒前
高分求助中
Impact of Mitophagy-Related Genes on the Diagnosis and Development of Esophageal Squamous Cell Carcinoma via Single-Cell RNA-seq Analysis and Machine Learning Algorithms 2000
How to Create Beauty: De Lairesse on the Theory and Practice of Making Art 1000
Gerard de Lairesse : an artist between stage and studio 670
大平正芳: 「戦後保守」とは何か 550
2019第三届中国LNG储运技术交流大会论文集 500
Contributo alla conoscenza del bifenile e dei suoi derivati. Nota XV. Passaggio dal sistema bifenilico a quello fluorenico 500
Multiscale Thermo-Hydro-Mechanics of Frozen Soil: Numerical Frameworks and Constitutive Models 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 2998407
求助须知:如何正确求助?哪些是违规求助? 2658903
关于积分的说明 7198485
捐赠科研通 2294450
什么是DOI,文献DOI怎么找? 1216676
科研通“疑难数据库(出版商)”最低求助积分说明 593594
版权声明 592904