Selective and Sensitive Detection of Fe 3+ Ions Using a Red-Emissive Fluorescent Probe Based on Triphenylamine and Perylene-Linked Conjugated Microporous Polymer.
Manivannan MadhuS SanthoshkumarChing-Wen HsiaoWei Lung TsengShiao-Wei KuoMohamed Gamal MohamedPublished in: Macromolecular rapid communications (2024)
The Expansion of modern industry underscores the urgent need to address heavy metal pollution, which is a threat to human-health and environment. Efforts are underwent to develop precise technologies for detecting heavy metal ions (M + -ion). One promising approach involves the use of Conjugated Microporous Polymers (CMPs) modified with Triphenylamine (TPA) anderylene (Peryl), known as TPA-Peryl-CMP, which emits strong refluorescence. Various analytical techniques, such as Brunauer-Emmett-Teller analysis, Fourier transform infrared (FTIR) spectroscopy, nuclear magnetic resonance (NMR) spectroscopy, and thermogravimetric analysis (TGA), are utilized to characterize the synthesized TPA-Peryl-CMP and understand its functional properties. In addition to its remarkable fluorescence behavior, TPA-Peryl-CMP shows promise as a sensor for Fe 3+ ions using a turn-off strategy. Due to its exceptional stability and robust π-electron system, this platform demonstrates remarkable sensitivity and selectivity, significantly improving detection capabilities for specific analytes. Detailed procedures related to the mechanism for detecting Fe 3+ ions are outlined for sensing Fe 3+ ions, revealing a notably strong linear correlation within the concentration range of 0-3 µM, with a correlation coefficient of 0.9936 and the Limit of detection (LOD) 20 nM. It is anticipated that development of such a kind of TPA-Peryl-CMP will observe broader applications in detecting various analytes related to environmental and biological systems.
Keyphrases
- aqueous solution
- heavy metals
- quantum dots
- human health
- sensitive detection
- risk assessment
- fluorescent probe
- loop mediated isothermal amplification
- magnetic resonance
- living cells
- photodynamic therapy
- health risk assessment
- metal organic framework
- single molecule
- water soluble
- climate change
- health risk
- energy transfer
- magnetic resonance imaging
- drinking water
- quality improvement
- high resolution
- label free
- machine learning
- computed tomography
- drug induced
- air pollution
- artificial intelligence
- single cell
- life cycle
- data analysis