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Related Experiment Video

Updated: Jan 30, 2026

Synthesis and Characterization of Functionalized Metal-organic Frameworks

Synthesis and Characterization of Functionalized Metal-organic Frameworks

Published on: September 5, 2014

Metal-organic framework-based affinity materials in proteomics.

Adeela Saeed^1,2, Dilshad Hussain^2,3, Shafaq Saleem¹

¹Department of Chemistry, The Women University, Kutchery Campus, L.M.Q. Road, Multan, 66000, Pakistan.

Analytical and Bioanalytical Chemistry

|January 26, 2019

Summary

This summary is machine-generated.

Metal-organic frameworks (MOFs) offer superior selectivity and sensitivity in proteomics applications, serving as advanced affinity sorbents and matrices. This review explores MOFs

Keywords:

Affinity materials Enzymatic reactors Glycopeptides LDI-MS Metal–organic frameworks Phosphopeptides

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Development of Heterogeneous Enantioselective Catalysts using Chiral Metal-Organic Frameworks MOFs

Development of Heterogeneous Enantioselective Catalysts using Chiral Metal-Organic Frameworks MOFs

Published on: January 17, 2020

Area of Science:

Materials Science
Analytical Chemistry
Biochemistry

Background:

Metal-organic frameworks (MOFs) possess unique properties like high surface area and tunable structures.
These characteristics make them promising for various applications, including proteomics.
MOFs offer advantages over traditional materials in selectivity, sensitivity, and reproducibility.

Purpose of the Study:

To review the application of MOFs in mass spectrometry-based proteomics.
To discuss MOFs as affinity sorbents for capturing specific biomolecules.
To evaluate MOFs as matrices for small-molecule analysis and as enzymatic reactors.

Main Methods:

Literature review of MOF applications in proteomics.
Analysis of MOFs' properties as affinity sorbents for phosphopeptides and glycopeptides.
Evaluation of MOFs in laser desorption/ionization mass spectrometry (LDI-MS) and as enzymatic reactors.

Main Results:

MOFs demonstrate high selectivity and sensitivity for enriching phosphopeptides and glycopeptides.
MOFs show potential as LDI-MS matrices for small molecules.
MOF-based bioreactors facilitate protein digestion and reduce sample complexity.

Conclusions:

MOFs enhance proteomic analysis by reducing complexity and improving detection.
Further research is needed to address MOF stability and interaction mechanisms.
Overcoming limitations will improve MOFs' performance in selective and sensitive analytical applications.