模块化设计
可扩展性
范围(计算机科学)
软件部署
构造(python库)
系统工程
计算机科学
钥匙(锁)
连接器
计算机体系结构
嵌入式系统
工程类
分布式计算
方案(数学)
模块化(生物学)
纳米技术
工作(物理)
作者
Zongsu Han,Kun‐Yu Wang,Zhaoyi Liu,Jiatong Huo,Joshua Rushlow,Yihao Yang,Rong‐Ran Liang,Hong‐Cai Zhou
摘要
Metal-organic frameworks (MOFs) have emerged as versatile platforms for structural design and engineering for targeting applications, particularly in luminescent sensing. MOF-based sensing materials are recognized for their rapid responses and well-defined structures that facilitate mechanistic insight. However, practical deployment remains limited by the synthetic cost associated with customizing individual MOFs with response to specific analytes. Here, we present a synthetic methodology to construct a programmable luminescent sensing platform derived from a readily modifiable Zr-MOF PCN-700, in which 20 pre-designed modules with various functions are incorporated through a modular linker installation strategy, possessing variable molecular lengths, configurations, and binding linkages. These modules endow the framework with customizable recognition capabilities toward a wide scope of chemical species as well as physical stimuli. This work demonstrates a generalizable and scalable modular installation approach that enables construction of multifunctional MOF-based sensing materials with customizable performance to meet evolving demands in practical detections.
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