Modeling and Optimization of Colloidal Nanosilver Pretreatment on Acid-Free Dyeing, Antibacterial, and Hydrophilicity of Polyamide-6,6 Using Response Surface Methodology

Enhancement of dyeability, antibacterial, and hydrophilicity of polyamide-6,6 was introduced with colloidal silver nanoparticles (csns) and butane tetra carboxylic acid (btca) using cubic statistical models. different concentrations of csns and btca were investigated to evaluate their influences on dyeability, antibacterial, hydrophilicity, and color change properties of polyamide-6,6 fabric by applying statistical design of d-optimal method. antibacterial property of treated sample was tested by gram-negative bacterium escherichia coli and gram-positive bacterium staphylococcus aureus. to achieve optimum conditions for polyamide-6,6, response surface methodology was also utilized. here, csns were stabilized on polyamide-6,6 surface using btca as crosslinking agent in order to enhance washing durability. scanning electron microscopy and energy-dispersive spectroscopy were employed to characterize presence of csns on surface of polyamide-6,6 and elemental composition of treated polyamide-6,6 fabrics. treatment optimization led to considerably absorption enhancement of c.i. acid red 81 dye through cubic statistical models on polyamide-6,6 surfaces as well as antibacterial and hydrophilicity characteristics and minimized color change caused due to csns influence. the principal result is synergetic effect utilizing btca accompany with csns on enhancing and durability of mentioned properties quantitatively in optimized conditions. overall, the suggested method could be introduced as a new route, disclosing various desirable multifunctional characteristics to polyamide-6,6 fabric.