Selective Toluene Separation via π-π Interactions in Cobalt sql Network Rubber Composites.

Area of Science:

• Materials Science
• Environmental Chemistry
• Nanotechnology

Background:

• Aromatic contaminants in water pose environmental challenges.
• Developing materials for selective contaminant removal is crucial for remediation.

Purpose of the Study:

• To design and characterize a framework-elastomer hybrid membrane for selective toluene recovery.
• To investigate the molecular recognition mechanisms for toluene separation.

Main Methods:

• Fabrication of a hybrid membrane with [Co(4-pmntd)2(NO3)2] (4-pmntd = N,N'-bis(4-pyridylmethyl)naphthalene diimide).
• Structural analysis using crystallographic diffraction, gas adsorption, spectroscopy, and NMR.
• Computational modeling with GCMC and DFT-D to study sorption pathways.

Main Results:

• The membrane demonstrated high selectivity for toluene via π-π charge-transfer interactions.
• Achieved toluene detection at 5.3 × 10⁻⁶ mol/L with 97.6% purity and 94.0% recovery.
• The material showed rapid kinetics, ambient temperature operation, and excellent recyclability.

Conclusions:

• The developed hybrid membrane is a sustainable solution for industrial toluene remediation.
• Advances coordination-network-based separation technology for environmental water treatment.
• Confirms selective molecular recognition mechanism through computational and experimental validation.