Natural and Synthetic Polymers for Pollutant Adsorption from Contaminated Effluents
A special issue of Polymers (ISSN 2073-4360). This special issue belongs to the section "Circular and Green Polymer Science".
Deadline for manuscript submissions: closed (25 October 2024) | Viewed by 1370
Special Issue Editors
Interests: adsorption; biopolymers; optimization; modeling; environmental engineering
Special Issues, Collections and Topics in MDPI journals
Interests: bubble column reactor used in chemical technology for obtaining eco-friendly products; color analysis of organic and food materials; adsorption of dye traces and other toxic products from wastewater
Special Issues, Collections and Topics in MDPI journals
Interests: porous materials; glass–ceramic polymers; waste imobiliation; environmental engineering
Special Issue Information
Dear Colleagues,
In recent years, the use of adsorption to remove pollutants from industrial effluents has become more common due to its various benefits, including good applicability, simplicity, flexibility, selectivity and high efficiency, the variety of adsorbent materials available and the technique’s relatively low cost. Another major advantage of the method is the fact that the adsorption process can be easily optimized and modelled. As a result, research has been focused on finding new adsorbents with higher adsorption capacities, as well as making the adsorption process as economically viable as possible. Polymeric materials, both natural and synthetic, often have the functional groups necessary to make them ideal for pollutant removal from liquid or gaseous industrial effluents.
This Special Issue of Polymers has been created to compile and present current research on pollutant adsorption using natural and synthetic polymer materials.
Dr. Giannin Mosoarca
Dr. Simona Popa
Dr. Cosmin Vancea
Dr. Sorina Boran
Guest Editors
Manuscript Submission Information
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Keywords
- pollutants removal
- polymers
- synthesis
- characterization
- process mechanism
- equilibrium
- kinetics
- thermodynamics
- process modelling
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