Chemical engines: driving systems away from equilibrium through catalyst reaction cycles

耗散系统 生化工程 化学反应 催化作用 化学平衡 材料科学 纳米技术 化学过程 化学 计算机科学 化学能 物理 热力学 物理化学 工程类 有机化学
作者
Shuntaro Amano,Stefan Borsley,David A. Leigh,Zhanhu Sun
出处
期刊:Nature Nanotechnology [Nature Portfolio]
卷期号:16 (10): 1057-1067 被引量:128
标识
DOI:10.1038/s41565-021-00975-4
摘要

Biological systems exhibit a range of complex functions at the micro- and nanoscales under non-equilibrium conditions (for example, transportation and motility, temporal control, information processing and so on). Chemists also employ out-of-equilibrium systems, for example in kinetic selection during catalysis, self-replication, dissipative self-assembly and synthetic molecular machinery, and in the form of chemical oscillators. Key to non-equilibrium behaviour are the mechanisms through which systems are able to extract energy from the chemical reactants ('fuel') that drive such processes. In this Perspective we relate different examples of such powering mechanisms using a common conceptual framework. We discuss how reaction cycles can be coupled to other dynamic processes through positive (acceleration) or negative (inhibition) catalysis to provide the thermodynamic impetus for diverse non-equilibrium behaviour, in effect acting as a 'chemical engine'. We explore the way in which the energy released from reaction cycles is harnessed through kinetic selection in a series of what have sometimes been considered somewhat disparate fields (systems chemistry, molecular machinery, dissipative assembly and chemical oscillators), highlight common mechanistic principles and the potential for the synchronization of chemical reaction cycles, and identify future challenges for the invention and application of non-equilibrium systems. Explicit recognition of the use of fuelling reactions to power structural change in catalysts may stimulate the investigation of known catalytic cycles as potential elements for chemical engines, a currently unexplored area of catalysis research.
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
1秒前
脑洞疼应助高贵振家采纳,获得10
1秒前
zeroayanami0发布了新的文献求助10
1秒前
wq完成签到,获得积分10
2秒前
2秒前
清爽山河完成签到 ,获得积分10
2秒前
迷路念真发布了新的文献求助10
3秒前
TianY完成签到,获得积分10
3秒前
ZHANGJK发布了新的文献求助10
3秒前
littleblack发布了新的文献求助10
4秒前
LBR完成签到,获得积分20
4秒前
siny发布了新的文献求助10
4秒前
甜甜慕灵发布了新的文献求助10
4秒前
华仔应助8787采纳,获得10
4秒前
Akim应助8787采纳,获得30
4秒前
科研通AI6.4应助谢YH采纳,获得10
5秒前
5秒前
6秒前
科研通AI6.4应助mayday12138采纳,获得10
6秒前
7秒前
dkkkkk完成签到,获得积分10
7秒前
华仔应助天天采纳,获得10
7秒前
NexusExplorer应助沐凉风i采纳,获得30
7秒前
7秒前
科研通AI6.3应助迷路念真采纳,获得10
8秒前
天天快乐应助吴雨茜采纳,获得10
8秒前
8秒前
平常的苡完成签到,获得积分10
8秒前
9秒前
我是老大应助耍酷问萍采纳,获得10
9秒前
Lllrrrxxx_123关注了科研通微信公众号
9秒前
大模型应助liupeng0403117采纳,获得10
10秒前
10秒前
CipherSage应助sun采纳,获得10
10秒前
蝉鸣一夏发布了新的文献求助50
10秒前
Ww完成签到,获得积分10
10秒前
11秒前
vv8866完成签到,获得积分10
11秒前
yaotingting发布了新的文献求助10
12秒前
小哦嘿发布了新的文献求助10
12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
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Direct and Iterative Linear System Solvers 500
Plato's Parmenides. A Constructive Reading 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 7301793
求助须知:如何正确求助?哪些是违规求助? 8920066
关于积分的说明 18893181
捐赠科研通 6966085
什么是DOI,文献DOI怎么找? 3211421
关于科研通互助平台的介绍 2380467
邀请新用户注册赠送积分活动 2188372