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Updated: Jun 12, 2026

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A Technical Guide for Performing Spectroscopic Measurements on Metal-Organic Frameworks
Published on: April 28, 2023
Metal-Organic Frameworks as Programable Platforms for Micro- and Optoelectronics: From Dielectrics to Semiconductors
Pounraj Thanasekaran1,2, Arif I Inamdar3, Muhammad Usman3
1Department of Chemistry Fu Jen Catholic University New Taipei City Taiwan.
Small Science
|June 11, 2026
Summary
Metal-organic frameworks (MOFs) are versatile materials for electronics. Research highlights their use as insulators, semiconductors, and white-light emitters, paving the way for advanced optoelectronic devices.
Area of Science:
- Materials Science
- Nanotechnology
- Solid State Physics
Background:
- Metal-organic frameworks (MOFs) offer tunable properties for electronic applications.
- Their modular structures and chemical programmability are key advantages.
Purpose of the Study:
- To summarize recent advances in MOFs for microelectronic and optoelectronic applications.
- To discuss strategies for modulating MOF properties and highlight progress in white-light-emitting MOFs.
Main Methods:
- Review of recent literature on MOFs in electronic and optoelectronic devices.
- Critical discussion of property modulation strategies (metal-node selection, linker design, guest incorporation, water's role).
- Assessment of challenges and emerging solutions for MOF-based technologies.
Main Results:
- MOFs function as low/high-dielectric-constant insulators and semiconductors with enhanced charge transport.
- Intrinsic broadband white-light emission in MOFs is achieved, particularly in single-component systems.
- Progress in electrically driven, phosphor-free white-light-emitting MOFs offers sustainable alternatives.
Conclusions:
- MOFs are promising for next-generation nanoelectronic and optoelectronic technologies.
- Key challenges include electrical conductivity, operational stability, and device integration.
- Emerging solutions involve framework dimensionality, charge transport pathways, and computational modeling.
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