一锅包封酶在羧酸钙金属-有机框架提高缓冲稳定性。

IF 14.1 1区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Ying Shu, Weibin Liang, Jun Huang
{"title":"一锅包封酶在羧酸钙金属-有机框架提高缓冲稳定性。","authors":"Ying Shu, Weibin Liang, Jun Huang","doi":"10.1002/advs.202510960","DOIUrl":null,"url":null,"abstract":"<p><p>Diverse metal-organic frameworks (MOFs) have been actively studied for enzyme encapsulation to enhance encapsulation efficiency (EE), retained enzymatic activity (REA), and stability. This study develops a biocompatible synthesis protocol for a MOF constructed from Ca<sup>2</sup>⁺ and 4,5-imidazoledicarboxylate ligand (termed CaIDC) in water at room temperature. This method enabled in situ, one-pot encapsulation of various enzymes, including bovine serum albumin (BSA), glucose oxidase (GOx), catalase (CAT), and esterase (EST). Compared to widely studied zeolitic imidazolate frameworks (ZIFs), CaIDC-based biocomposites demonstrated enhanced chemical robustness in phosphate buffer at pH 6.0 and 7.4. To optimize the synthesis process, a machine learning-assisted workflow incorporating Latin hypercube sampling (LHS) is developed for an efficient exploration of the entire synthesis space. As a model system, the optimized EST@CaIDC sample (EC19) exhibited EE, REA, and protein loading (P<sub>loading</sub>) values of 28.7%, 20.1%, and 4.2 wt.%, respectively. In all, this study presents the development of a robust CaIDC-based platform for enzyme encapsulation and the implementation of an efficient ML-assisted optimization strategy, offering a pathway to advance enzyme encapsulation technologies with enhanced catalytic performance and sustainability.</p>","PeriodicalId":117,"journal":{"name":"Advanced Science","volume":" ","pages":"e10960"},"PeriodicalIF":14.1000,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"One-Pot Encapsulation of Enzymes in a Calcium Carboxylate Metal-Organic Framework for Improved Buffer Stability.\",\"authors\":\"Ying Shu, Weibin Liang, Jun Huang\",\"doi\":\"10.1002/advs.202510960\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Diverse metal-organic frameworks (MOFs) have been actively studied for enzyme encapsulation to enhance encapsulation efficiency (EE), retained enzymatic activity (REA), and stability. This study develops a biocompatible synthesis protocol for a MOF constructed from Ca<sup>2</sup>⁺ and 4,5-imidazoledicarboxylate ligand (termed CaIDC) in water at room temperature. This method enabled in situ, one-pot encapsulation of various enzymes, including bovine serum albumin (BSA), glucose oxidase (GOx), catalase (CAT), and esterase (EST). Compared to widely studied zeolitic imidazolate frameworks (ZIFs), CaIDC-based biocomposites demonstrated enhanced chemical robustness in phosphate buffer at pH 6.0 and 7.4. To optimize the synthesis process, a machine learning-assisted workflow incorporating Latin hypercube sampling (LHS) is developed for an efficient exploration of the entire synthesis space. As a model system, the optimized EST@CaIDC sample (EC19) exhibited EE, REA, and protein loading (P<sub>loading</sub>) values of 28.7%, 20.1%, and 4.2 wt.%, respectively. In all, this study presents the development of a robust CaIDC-based platform for enzyme encapsulation and the implementation of an efficient ML-assisted optimization strategy, offering a pathway to advance enzyme encapsulation technologies with enhanced catalytic performance and sustainability.</p>\",\"PeriodicalId\":117,\"journal\":{\"name\":\"Advanced Science\",\"volume\":\" \",\"pages\":\"e10960\"},\"PeriodicalIF\":14.1000,\"publicationDate\":\"2025-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advanced Science\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://doi.org/10.1002/advs.202510960\",\"RegionNum\":1,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Science","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1002/advs.202510960","RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

摘要

为了提高酶包封效率(EE)、酶活性(REA)和酶稳定性,各种金属有机框架(MOFs)被积极研究。本研究开发了一种室温下由Ca2 +和4,5-咪唑二羧酸配体(称为CaIDC)在水中构建的MOF的生物相容性合成方案。该方法实现了多种酶的原位、一锅包封,包括牛血清白蛋白(BSA)、葡萄糖氧化酶(GOx)、过氧化氢酶(CAT)和酯酶(EST)。与广泛研究的沸石咪唑盐框架(ZIFs)相比,cdac基生物复合材料在pH 6.0和7.4的磷酸盐缓冲液中表现出更强的化学稳稳性。为了优化合成过程,开发了一种结合拉丁超立方体采样(LHS)的机器学习辅助工作流程,以有效地探索整个合成空间。作为模型系统,优化后的EST@CaIDC样品(EC19)的EE、REA和protein loading (loading)值分别为28.7%、20.1%和4.2 wt.%。总之,本研究提出了一个强大的基于cdac的酶封装平台的开发,并实施了一个有效的ml辅助优化策略,为提高酶封装技术的催化性能和可持续性提供了一条途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
One-Pot Encapsulation of Enzymes in a Calcium Carboxylate Metal-Organic Framework for Improved Buffer Stability.

Diverse metal-organic frameworks (MOFs) have been actively studied for enzyme encapsulation to enhance encapsulation efficiency (EE), retained enzymatic activity (REA), and stability. This study develops a biocompatible synthesis protocol for a MOF constructed from Ca2⁺ and 4,5-imidazoledicarboxylate ligand (termed CaIDC) in water at room temperature. This method enabled in situ, one-pot encapsulation of various enzymes, including bovine serum albumin (BSA), glucose oxidase (GOx), catalase (CAT), and esterase (EST). Compared to widely studied zeolitic imidazolate frameworks (ZIFs), CaIDC-based biocomposites demonstrated enhanced chemical robustness in phosphate buffer at pH 6.0 and 7.4. To optimize the synthesis process, a machine learning-assisted workflow incorporating Latin hypercube sampling (LHS) is developed for an efficient exploration of the entire synthesis space. As a model system, the optimized EST@CaIDC sample (EC19) exhibited EE, REA, and protein loading (Ploading) values of 28.7%, 20.1%, and 4.2 wt.%, respectively. In all, this study presents the development of a robust CaIDC-based platform for enzyme encapsulation and the implementation of an efficient ML-assisted optimization strategy, offering a pathway to advance enzyme encapsulation technologies with enhanced catalytic performance and sustainability.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Advanced Science
Advanced Science CHEMISTRY, MULTIDISCIPLINARYNANOSCIENCE &-NANOSCIENCE & NANOTECHNOLOGY
CiteScore
18.90
自引率
2.60%
发文量
1602
审稿时长
1.9 months
期刊介绍: Advanced Science is a prestigious open access journal that focuses on interdisciplinary research in materials science, physics, chemistry, medical and life sciences, and engineering. The journal aims to promote cutting-edge research by employing a rigorous and impartial review process. It is committed to presenting research articles with the highest quality production standards, ensuring maximum accessibility of top scientific findings. With its vibrant and innovative publication platform, Advanced Science seeks to revolutionize the dissemination and organization of scientific knowledge.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信