Probing Defects in Covalent Organic Frameworks.
Saba Daliran1, Ali Reza Oveisi2, Amarajothi Dhakshinamoorthy3,4
1Department of Organic Chemistry, Faculty of Chemistry, Lorestan University, Khorramabad 68151-44316, Iran.
ACS Applied Materials & Interfaces
|September 16, 2024
Summary
Defects in covalent organic frameworks (COFs) critically impact material properties. This review details advanced techniques for characterizing and quantifying these defects, essential for COF performance optimization.
Area of Science:
- Materials Science
- Chemistry
Background:
- Defects in covalent organic frameworks (COFs) significantly influence their properties, including adsorbate interactions, charge transport, and light absorption.
- Understanding and controlling these defects are crucial for tailoring COF performance in various applications.
Purpose of the Study:
- To provide a comprehensive review of techniques for characterizing and quantifying defects in COFs.
- To analyze the strengths and limitations of each method for different defect types.
Main Methods:
- The review examines a wide range of characterization techniques.
- These include powder X-ray diffraction (PXRD), spectroscopy (IR, NMR, XPS), microscopy (SEM, STEM, STM, HRTEM), thermal analysis (TGA), gas adsorption, titration, and computational methods.
Main Results:
- Two primary defect types are identified: missing organic moieties and structural imperfections.
- Each technique's ability to provide qualitative and quantitative defect information is critically assessed.
- The complementary nature and synergistic potential of various techniques are highlighted.
Conclusions:
- Accurate characterization of COF defects is vital for advancing materials science.
- Future research should focus on overcoming existing challenges in defect analysis and developing novel characterization strategies.
Keywords:
Covalent Organic FrameworksDefect characterizationDefect engineeringDisordersImperfectionsMissing-linker structuresModulated synthesisTruncation strategyMore Related Videos
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