Fluorescence Light‐Up Electrospun Membrane Incorporated with PbBr<sub>2</sub> as a Highly Selective Fluorescence Probe for the Detection of Cs+

Abstract This study introduces a novel fluorescent light‐up electrospun membrane, integrating PbBr 2 , which serves as an exceptionally selective probe for the detection of cesium ions (Cs + ). Leveraging the superior optical properties of CsPbBr 3 perovskite nanocrystals (PNCs), the researchers employ electrospinning technology to fabricate a test strip, namely PbBr 2 @polyacrylonitrile (PbBr 2 @PAN) nanofiber membranes, capable of swiftly detecting Cs + in water merely by observing changes in the nanocrystals' luminescence with the naked eye. By the introduction of NH 4 + ‐modified montmorillonite (NH 4 + ‐MMT), PbBr 2 ‐MT@PAN nanofiber membranes is obtained. The selectivity and sensitivity to Cs + can be further improved because NH 4 + ‐MMT endows PbBr 2 ‐MT@PAN nanofiber membranes with the hydrophilic property and selective adsorption toward Cs + ions. The membrane's fabrication is simple, scalable, and cost‐effective, with high cesium selectivity and sensitivity down to 44 ppb. This innovation enables efficient, on‐site cesium monitoring critical for environmental safety and nuclear waste management.

Authors

Institutions

Publication Details

Journal
Advanced Sensor Research
Published
2024-09-08
DOI
https://doi.org/10.1002/adsr.202400085
Citations
1
Primary Topic
Molecular Sensors and Ion Detection
Type
article
Field-Weighted Citation Impact
0.24

Funders

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

Fluorescence Light‐Up Electrospun Membrane Incorporated with PbBr2 as a Highly Selective Fluorescence Probe for the Detection of Cs+

Tengling Ye, Dongyan Tang, Lu Li, Ye Wei et al.
1 citations
Advanced Sensor Research
Molecular Sensors and Ion Detection
0.24
article

Fluorescence Light‐Up Electrospun Membrane Incorporated with PbBr2 as a Highly Selective Fluorescence Probe for the Detection of Cs+

Tengling Ye, Dongyan Tang, Lu Li, Ye Wei, Yaocheng Yang, Dongqing He, Xinyu Zhao, Yaxin Li, Xin Wang
article en
1 citations

Abstract

Abstract This study introduces a novel fluorescent light‐up electrospun membrane, integrating PbBr 2 , which serves as an exceptionally selective probe for the detection of cesium ions (Cs + ). Leveraging the superior optical properties of CsPbBr 3 perovskite nanocrystals (PNCs), the researchers employ electrospinning technology to fabricate a test strip, namely PbBr 2 @polyacrylonitrile (PbBr 2 @PAN) nanofiber membranes, capable of swiftly detecting Cs + in water merely by observing changes in the nanocrystals' luminescence with the naked eye. By the introduction of NH 4 + ‐modified montmorillonite (NH 4 + ‐MMT), PbBr 2 ‐MT@PAN nanofiber membranes is obtained. The selectivity and sensitivity to Cs + can be further improved because NH 4 + ‐MMT endows PbBr 2 ‐MT@PAN nanofiber membranes with the hydrophilic property and selective adsorption toward Cs + ions. The membrane's fabrication is simple, scalable, and cost‐effective, with high cesium selectivity and sensitivity down to 44 ppb. This innovation enables efficient, on‐site cesium monitoring critical for environmental safety and nuclear waste management.

Advanced Sensor ResearchVol. 3(12)
Harbin Institute of Technology (CN), Heilongjiang Academy of Sciences (CN), Shaanxi University of Science and Technology (CN)
Natural Science Foundation of Heilongjiang Province, Shaanxi University of Science and Technology, Heilongjiang Provincial Postdoctoral Science Foundation
Openalex Percentile: Top 50%
Molecular Sensors and Ion Detection
0.24
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.