A Cu <sub>2</sub> I <sub>2</sub> cluster bearing MOF as a fluorescence-sensing material for the visual detection of methanol

Due to their wide applications with regard to health and safety, sensitive and selective detection and distinguishing of alcohol molecules ( e.g. , methanol in counterfeit wine) is very important.

Authors

Institutions

Publication Details

Journal
Journal of Materials Chemistry C
Published
2025-01-01
DOI
https://doi.org/10.1039/d5tc02781k
Primary Topic
Nanocluster Synthesis and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Cu 2 I 2 cluster bearing MOF as a fluorescence-sensing material for the visual detection of methanol

Abdusalam Ablez, Bin Tan, Yi Liu, Xiaoying Huang et al.
Journal of Materials Chemistry C
Nanocluster Synthesis and Applications
article

A Cu 2 I 2 cluster bearing MOF as a fluorescence-sensing material for the visual detection of methanol

Abdusalam Ablez, Bin Tan, Yi Liu, Xiaoying Huang, Zhao-Feng Wu, Lei Tian, Nanwei Wang, Jinmei Liu
article en

Abstract

Due to their wide applications with regard to health and safety, sensitive and selective detection and distinguishing of alcohol molecules ( e.g. , methanol in counterfeit wine) is very important.

Journal of Materials Chemistry CVol. 13(44)
Beijing Institute of Technology (CN), Fujian Institute of Research on the Structure of Matter (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 80%
Nanocluster 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.