Abstract—The objective of this study is to predict the variation in silver migration as a function of silver concentration, temperature and migration duration using polynomial model. Silver nanoparticles were produced via chemical reduction by using short-chain polyethylene glycol. Silver nanocomposites were prepared via two methods, namely, melt-blending and layer-by-layer self-assembling deposition. Surface response methodology was employed to investigate the effects of processing conditions, including processing method (melt blending and layer-by-layer coating) and silver nanoparticles concentration as well as migration conditions, including temperature, duration of contact, and contact media (water, 3% acetic acid, 10% ethanol, and apple juice), on the silver-ion migration of silver nanocomposites. Second-order polynomial regression models expressing silver-ion migrations as functions of the main numerical variables were significantly fitted (p<0.05) with a high coefficient of determination (R2>0.90). Migration time was considered as the most significant variable that affects silver-ion migration from silver nanocomposites.
 

Index Terms—silver migration, modeling, response surface, polyethylene nanocomposite

Cite: Maryam Jokar, Katrin Loeschner, and Abdorreza Mohammadi Nafchi, "Modeling of Silver Migration from Polyethylene Nanocomposite Packaging into a Food Model System Using Response Surface Methodology," International Journal of Food Engineering, Vol. 2, No. 2, pp. 96-102, December 2016. doi: 10.18178/ijfe.2.2.96-102