Harnessing Self-Repairing and Crystallization Processes for Effective Enzyme Encapsulation in Covalent Organic Frameworks

化学 介孔材料 共价键 结晶 封装(网络) 固定化酶 聚合物 多孔性 纳米技术 生物催化 化学工程 材料科学 有机化学 催化作用 计算机科学 离子液体 工程类 计算机网络
作者
Yufeng Zhang,Yufeng Zhang,Chunyan Xing,Zhenjie Mu,Ziru Niu,Xiao Feng,Yuanyuan Zhang,Yuanyuan Zhang,Bo Wang
出处
期刊:Journal of the American Chemical Society [American Chemical Society]
卷期号:145 (24): 13469-13475 被引量:111
标识
DOI:10.1021/jacs.3c04183
摘要

Immobilization of fragile enzymes in crystalline porous materials offers new opportunities to expand the applications of biocatalysts. However, limited by the pore size and/or harsh synthesis conditions of the porous hosts, enzymes often suffer from dimension limitation or denaturation during the immobilization process. Taking advantage of the dynamic covalent chemistry feature of covalent organic frameworks (COFs), herein, we report a preprotection strategy to encapsulate enzymes in COFs during the self-repairing and crystallization process. Enzymes were first loaded in the low-crystalline polymer networks with mesopores formed at the initial growth stage, which could offer effective protection for enzymes from the harsh reaction conditions, and subsequently the encapsulation proceeded during the self-repairing and crystallization of the disordered polymer into the crystalline framework. Impressively, the biological activity of the enzymes can be well-maintained after encapsulation, and the obtained enzyme@COFs also show superior stability. Furthermore, the preprotection strategy circumvents the size limitation for enzymes, and its versatility was verified by enzymes with different sizes and surface charges, as well as a two-enzyme cascade system. This study offers a universal design idea to encapsulate enzymes in robust porous supports and holds promise for developing high-performance immobilized biocatalysts.
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
JamesPei应助夏Eason采纳,获得30
刚刚
hhhhhg完成签到,获得积分10
刚刚
追寻梦之发布了新的文献求助10
1秒前
深情安青应助仙女保苗采纳,获得10
2秒前
小蝶发布了新的文献求助10
2秒前
流浪小诗人完成签到,获得积分10
2秒前
2秒前
2秒前
FashionBoy应助zy采纳,获得10
3秒前
研友_LMNzPn完成签到,获得积分10
3秒前
4秒前
追寻嵩完成签到,获得积分10
4秒前
啊啊啊发布了新的文献求助10
4秒前
4秒前
Lucas应助Hangerli采纳,获得10
4秒前
NexusExplorer应助小太阳采纳,获得10
4秒前
丘比特应助zz采纳,获得10
4秒前
4秒前
YVONNE发布了新的文献求助20
6秒前
6秒前
7秒前
称心的大米完成签到,获得积分10
7秒前
鳗鱼紫萱完成签到,获得积分10
7秒前
the_tao完成签到,获得积分10
7秒前
liuyang发布了新的文献求助10
7秒前
周树人发布了新的文献求助10
7秒前
汉堡包应助内向小笼包采纳,获得10
8秒前
研友_LMNzPn发布了新的文献求助10
8秒前
踏实十八发布了新的文献求助50
9秒前
9秒前
Mess完成签到,获得积分10
9秒前
KIKI完成签到,获得积分10
9秒前
阿九完成签到 ,获得积分10
9秒前
10秒前
甜甜沛蓝应助鱼花采纳,获得10
10秒前
10秒前
10秒前
11秒前
12秒前
12秒前
高分求助中
Introduction to Helicopter and Tiltrotor Flight Simulation, Second Edition 2000
Overcoming Stigma and Bias in Obesity Management 1200
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
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 6489928
求助须知:如何正确求助?哪些是违规求助? 8288152
关于积分的说明 17683243
捐赠科研通 5580400
什么是DOI,文献DOI怎么找? 2914613
邀请新用户注册赠送积分活动 1891571
关于科研通互助平台的介绍 1749343