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Electrospinning Membrane with Polyacrylate Mixed Beta-Cyclodextrin: An Efficient Adsorbent for Cationic Dyes
Chunling Zheng1,2, Wei Zhao1,2, Xiaoqian Tu2,3
1College of Food Science and Light Industry, Nanjing Tech University, 30 South Puzhu Road, Nanjing 211816, China.
Polymers
|January 25, 2025
Summary
A novel nanofiber adsorbent made from beta-cyclodextrin (β-CD) and polyacrylate (PA) effectively removes cationic dyes from wastewater. This recyclable material shows high adsorption capacity and efficiency in dye treatment.
Area of Science:
- Materials Science
- Environmental Chemistry
- Nanotechnology
Background:
- Wastewater contamination by cationic dyes poses environmental challenges.
- Development of efficient and recyclable adsorbents is crucial for dye removal.
- Non-chemical binding adsorbents offer sustainable alternatives for wastewater treatment.
Purpose of the Study:
- To synthesize and characterize beta-cyclodextrin/polyacrylate (β-CD/PA) composite nanofibers for cationic dye removal.
- To investigate the adsorption mechanism and capacity of the nanofibers.
- To evaluate the recyclability and performance under varying conditions.
Main Methods:
- Electrospinning of β-CD and PA mixture to create nanofiber adsorbents.
- Characterization of surface morphology and adsorption capacity.
- Adsorption experiments varying dye concentration and pH.
- Kinetic analysis using pseudo-second-order model.
Main Results:
- β-CD/PA nanofibers demonstrated effective removal of various cationic dyes.
- Optimized adsorption capacities ranged from 18.9 mg/g to 155.2 mg/g for tested dyes.
- Adsorption followed pseudo-second-order kinetics, indicating chemisorption.
- The adsorbent exhibited high recyclability and easy separation from dye solutions.
Conclusions:
- β-CD/PA composite nanofibers are a promising recyclable adsorbent for cationic dye wastewater treatment.
- The host-guest inclusion complex and electrostatic interactions are key removal mechanisms.
- The material's performance is influenced by dye concentration and pH, with potential for optimization.

