Morphological Chiral Engineering Strategies of Metal Organic Frameworks Driven for Enhanced Enantioselective Recognition

Chiral metal organic frameworks (CMOFs) obtained by directly introducing or modifying chiral ligands into metal organic frameworks (MOFs) have become highly anticipated electrochemical chiral sensing materials due to their designability in their structure. However, the synthesis of CMOFs is often limited by the selection of chiral ligands and the method of introduction, which greatly reduce the potential of MOFs in chiral sensing applications. In this work, the strategy of morphological chirality engineering was introduced into the synthesis process of MOFs, and uses amino acids as chiral inducers to induce the growth of MOFs, resulting in MOFs with morphological chirality. By controlling the proportion of amino acids with different configurations, various chiral forms of chiral MOFs can be obtained with this innovative synthesis method, which exhibit good electrochemical stereoselective recognition effects by generating different steric hindrance effects through stereoisomerism. Introducing chiral engineering strategies into the synthesis process of MOFs is expected to break the limitations of traditional CMOFs due to chiral sources and synthesis methods, providing new ideas for further expanding the diversity of electrochemical chiral sensing materials.

Authors

Institutions

Publication Details

Journal
Analytical Chemistry
Published
2026-02-12
DOI
https://doi.org/10.1021/acs.analchem.5c07723
Primary Topic
Metal-Organic Frameworks: Synthesis and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Morphological Chiral Engineering Strategies of Metal Organic Frameworks Driven for Enhanced Enantioselective Recognition

Hui Li, Xiaohui Niu, Kunjie Wang, Zhe Wang et al.
Analytical Chemistry
Metal-Organic Frameworks: Synthesis and Applications
article

Morphological Chiral Engineering Strategies of Metal Organic Frameworks Driven for Enhanced Enantioselective Recognition

Hui Li, Xiaohui Niu, Kunjie Wang, Zhe Wang, Hongfang Zhao, Jianying Zhang, Xing Yang, Yuewei Wang
article en

Abstract

Chiral metal organic frameworks (CMOFs) obtained by directly introducing or modifying chiral ligands into metal organic frameworks (MOFs) have become highly anticipated electrochemical chiral sensing materials due to their designability in their structure. However, the synthesis of CMOFs is often limited by the selection of chiral ligands and the method of introduction, which greatly reduce the potential of MOFs in chiral sensing applications. In this work, the strategy of morphological chirality engineering was introduced into the synthesis process of MOFs, and uses amino acids as chiral inducers to induce the growth of MOFs, resulting in MOFs with morphological chirality. By controlling the proportion of amino acids with different configurations, various chiral forms of chiral MOFs can be obtained with this innovative synthesis method, which exhibit good electrochemical stereoselective recognition effects by generating different steric hindrance effects through stereoisomerism. Introducing chiral engineering strategies into the synthesis process of MOFs is expected to break the limitations of traditional CMOFs due to chiral sources and synthesis methods, providing new ideas for further expanding the diversity of electrochemical chiral sensing materials.

Analytical ChemistryVol. 98(7)
Lanzhou University of Technology (CN), Lanzhou Jiaotong University (CN)
Openalex Percentile: Top 58%
Metal-Organic Frameworks: Synthesis and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Morphological Chiral Engineering Strategies of Metal Organic Frameworks Driven for Enhanced Enantioselective Recognition — Hui Li, Xiaohui Niu, et al. · Analytical Chemistry (2026) | TGRS Research Map | TGRS