4.7 Review

Recent advances in molecular logic gate chemosensors based on luminescent metal organic frameworks

期刊

DALTON TRANSACTIONS
卷 50, 期 42, 页码 14967-14977

出版社

ROYAL SOC CHEMISTRY
DOI: 10.1039/d1dt02841c

关键词

-

资金

  1. National Natural Science Foundation of China [21801230]
  2. Natural Science Foundation of Shanxi Province [201801D0221084]
  3. Scientific and Technological Innovation Programs of Higher Education Institutions in Shanxi [2019L0510]
  4. Young Academic Leader Supported Program of North University of China [QX201904]
  5. Opening Foundation of Key Laboratory of Laser & Infrared System (Shandong University), Ministry of Education [2020-LISKFJJ-002]

向作者/读者索取更多资源

Luminescent metal-organic frameworks can sense various analytes and have been used to develop logic gates based on their fluorescence characteristics. There are two strategies for constructing logic gates, one based on the superior characteristics of MOFs and the other involving control of inputs through reactions between different reactants.
Luminescent metal-organic frameworks (LMOFs) as chemosensors, can sense various analytes, such as heavy metal ions, antibiotics, pesticides, and small biological molecules. Based on the fluorescence characteristics of LMOFs, a variety of logic gates have been developed. In this review, we mainly discuss some common logic systems based on LMOFs, and then summarize the strategies of constructing logic gates from two perspectives. One is based on superior characteristics of MOFs, which can be synthesized from Ln(3+) based MOFs (Ln-MOFs) or form hybrids by encapsulating different materials, including metal ions, dyes, and quantum dots (QDs). The other is to control the presence of inputs by reactions between different reactants and then further control switches of logic gates. Additionally, the common sensing mechanisms of LMOFs in logic gates are discussed. In the end, we have envisioned MOFs that possess a promising future in logic computing areas.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据