A Cationic Eu-Based Metal–Organic Framework and Its Mixed Matrix Membranes for Sensitive Detection of Nitroaromatic Explosives

Nitroaromatic explosives are hazardous substances, and their leakage poses severe threats to environmental safety, human health, and national security. Thus, the development of fluorescent probes capable of sensitive and rapid detection of nitroaromatic explosives is critically important. Although lanthanide-based metal-organic frameworks (Ln-MOFs) are widely investigated for this purpose, the development of ionic Ln-MOFs for nitroaromatic explosive detection remains significantly underdeveloped. Herein, we synthesized a novel cationic Eu(III)-MOF (NCULL) with a zwitterionic ligand, which is capable of rapid and highly sensitive detection of various nitroaromatic explosives in methanol, exhibiting an exceptionally low detection limit (LOD = 25.44 nM) for 2,4,6-trinitrophenol (TNP). To further expand the practical applications of NCULL, mixed-matrix membranes (MMMs) loaded with NCULL particles were fabricated. These MMMs not only achieved quantitative fluorescent detection of TNP in methanol solvent (LOD = 18.85 nM) but also could be regenerated by simple methanol washing. Furthermore, this study provides not only a prototype for the detection of various nitroaromatic compounds using cationic Ln-MOF but also offers a new example of efficient film-based detection in solutions.

Authors

Institutions

Publication Details

Journal
Inorganic Chemistry
Published
2026-03-28
DOI
https://doi.org/10.1021/acs.inorgchem.6c00552
Primary Topic
Luminescence and Fluorescent Materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Cationic Eu-Based Metal–Organic Framework and Its Mixed Matrix Membranes for Sensitive Detection of Nitroaromatic Explosives

Feng Guo, J Zhang, Yongxiu Li, Zhi-Kang Yao et al.
Inorganic Chemistry
Luminescence and Fluorescent Materials
article

A Cationic Eu-Based Metal–Organic Framework and Its Mixed Matrix Membranes for Sensitive Detection of Nitroaromatic Explosives

Feng Guo, J Zhang, Yongxiu Li, Zhi-Kang Yao, Li-Ping Wang, Dong-Ping Li, Yong-Ye Zheng
article en

Abstract

Nitroaromatic explosives are hazardous substances, and their leakage poses severe threats to environmental safety, human health, and national security. Thus, the development of fluorescent probes capable of sensitive and rapid detection of nitroaromatic explosives is critically important. Although lanthanide-based metal-organic frameworks (Ln-MOFs) are widely investigated for this purpose, the development of ionic Ln-MOFs for nitroaromatic explosive detection remains significantly underdeveloped. Herein, we synthesized a novel cationic Eu(III)-MOF (NCULL) with a zwitterionic ligand, which is capable of rapid and highly sensitive detection of various nitroaromatic explosives in methanol, exhibiting an exceptionally low detection limit (LOD = 25.44 nM) for 2,4,6-trinitrophenol (TNP). To further expand the practical applications of NCULL, mixed-matrix membranes (MMMs) loaded with NCULL particles were fabricated. These MMMs not only achieved quantitative fluorescent detection of TNP in methanol solvent (LOD = 18.85 nM) but also could be regenerated by simple methanol washing. Furthermore, this study provides not only a prototype for the detection of various nitroaromatic compounds using cationic Ln-MOF but also offers a new example of efficient film-based detection in solutions.

Inorganic Chemistry
Anhui Jianzhu University (CN), Nanchang University (CN), Interface (United States) (US)
Openalex Percentile: Top 6%
Luminescence and Fluorescent Materials
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.