4.8 Review

Luminescent Lanthanide Metal Organic Frameworks (LnMOFs): A Versatile Platform towards Organomolecule Sensing

期刊

COORDINATION CHEMISTRY REVIEWS
卷 470, 期 -, 页码 -

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.ccr.2022.214707

关键词

Luminescent Lanthanide Metal Organic Frameworks (LnMOFs); Organomolecule; Nitroaromatic; Pharmaceutical; Sensing

资金

  1. CSIR, New Delhi, India [CSIR-01(3057)/21/EMR-II, 09/1023(0028)/2019-EMR-I]
  2. IIT Patna

向作者/读者索取更多资源

Selective detection of organomolecules has become crucial due to global population growth and rapid urbanization. Spectrofluorometric sensing method offers a simple and convenient way to detect organomolecules, while lanthanide metal-organic frameworks show remarkable promise for high-accuracy sensing.
The global population growth along with rapid urbanization caused intensification of anthropogenic processes. Selective detection of organomolecules (toxic, explosive, and pharmaceutical) has become significantly important for sustainable growth. There are few traditional detection methods available based on liquid chromatography and electrochemistry, but these are comparatively costly, time-consuming, and require complicated sample preparation methods and instrumentations. In this regard, the spectrofluorometric sensing method is simple, fast, and convenient for detecting organomolecules. Lanthanide metal-organic frameworks (LnMOFs) offer remarkable promise for sensing organomolecules with high accuracy because of their easy tunability, functionality, and design ability. Till date, close to three hundred LnMOFs have been designed and synthesized for potential applications in organomolecule sensing. Such reports are increasing swiftly, demanding an ordered grouping for visualization at a glance. This review showcases the development of LnMOFs toward organomolecule detection and perspectives concerning challenges and future prospects. (C) 2022 Elsevier B.V. All rights reserved.

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

4.8
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