Preparation of Polymer Composite Membrane Reinforced by Natural Fibers (Fiber and Stem of Date Palm) for Treatment of Industrial Waste Water Residue

Autor: Abdul Hameed M-J Al Obaidy, Eman S. Awad, M Athmar Abd, Falak O. Abas
Rok vydání: 2020
Předmět:
Zdroj: Theoretical Foundations of Chemical Engineering. 54:961-972
ISSN: 1608-3431
0040-5795
Popis: The developed industries are utilized natural waste fibers as a clean criteria device. This work utilized natural composite membranes in the treatment of wastewater to remove different pollutants such as heavy metals (Cd, Cr, Cu), chemical groups as (phenolic compound, acid and basic surfactants) in addition to modify pH values. This membrane was manufactured by solution polymerization between polyvinyl alcohol aqueous solution (1/3 PVOH/H2O) and date palm wastes (leaf and stems) at different mixing ratios 30/70, 50/50, and 70/30 wt % from PVOH and different date palm wastes (leaf and stem). These reactants are introduced at 80°C in a batch reactor for one hour with continuous mixing until reach homogenous aqueous solutions. Then left it for half an hour to give stable form then put it in a suitable moulds coated by paraffin film, dried under insulated oven for 3 h. Afterward different utilization conditions were studied such as type of natural waste (leaf and stem), particle size of these wastes 150 and 250 µm, and additive ratios of them 30/70, 50/50, and 70/30, respectively. All prepared composite membrane give good removal for different pollutants as heavy metals and chemical groups with preferences for samples used stem natural wastes and small particle size 250 micron rather than leaf type with 100% removal efficiency for industrial waste water from petroleum refinery . Optimum conditions that give high efficiency for removal are 250 micron particle size, stem type, and 70/30 mixing ratio from this waste, respectively. XRD, SEM, and EDS analysis proved the same above results of excellent selective adsorptive separation of both heavy metals and chemical pollutants groups (phenol and surfactant) for optimum samples nos. 4 and 8.
Databáze: OpenAIRE
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