Viscometric and Morphological Properties of Novel Magnesium Electrolyte-Polyacrylamide Composite Polymers in Aqueous Solution

abstract

The viscometric properties of novel magnesium electrolyte-polyacrylamide composite polymers in aqueous solutions were investigated using response surface methodology. Independent factors such as concentration of the magnesium electrolyte (magnesium chloride and magnesium hydroxide), concentration of polyacrylamide, and the solution temperature were taken into account for viscometric modeling. Experiments were carried out according to central composite design, which includes factorial, central and axial points of the factors. Solution viscosity was taken as the response variable. A polynomial model for the viscometric properties was developed using ANOVA and non-linear regression analysis, and the R-2 values are 0.9995 and 0.9996 for aqueous solutions of magnesium chloride-polyacrylamide (MCPAM) and magnesium hydroxide-polyacrylamide (MHPAM) composite polymers, respectively. Two diagnostic plots have been constructed to validate the developed models for the natural logarithm of viscosity of aqueous solutions of the MCPAM and MHPAM composite polymers. The least-squares values show that the developed models are adequate for predictive purposes. TEM was used to investigate the morphological properties of MCPAM and MHPAM composite polymers. Magnesium chloride was impregnated into the polyacrylamide chain while magnesium hydroxide was just adsorbed on the surface of the polyacrylamide chain.

keywords

RESPONSE-SURFACE METHODOLOGY; COAGULATION-FLOCCULATION PROCESS; WASTE-WATER TREATMENT; POLYDIMETHYLDIALLYLAMMONIUM CHLORIDE; RHEOLOGICAL BEHAVIOR; HYBRID POLYMER; COLOR REMOVAL; VISCOSITY; OPTIMIZATION

subject category

Chemistry

authors

Lee, KE; Khan, I; Morad, N; Teng, TT; Poh, BT

our authors

Groups

acknowledgements

The authors gratefully acknowledge financial support from Universiti Sains Malaysia in the form of a postgraduate fellowship, as well as Research University grant, which have resulted in this paper.

Share this project:

Related Publications

We use cookies for marketing activities and to offer you a better experience. By clicking “Accept Cookies” you agree with our cookie policy. Read about how we use cookies by clicking "Privacy and Cookie Policy".