Design artificial intelligence-based optimization and swelling behavior of novel crosslinked polymeric network hydrogels based on acrylamide-2-hydroxyethyl methacrylate and acrylamide-N-isopropylacrylamide

With the development of three-dimensional crosslinked hydrogel networks, various applications with excellent hydrophilicity and swelling ability have become attractive topics. In this study, novel crosslinked hydrogels based on acrylamide-2-hydroxyethyl methacrylate and acrylamide-N-isopropylacrylamide were prepared in the presence of N,N '-methylene bisacrylamide to investigate the swelling behavior. The effect of different experimental conditions, such as different crosslinker concentrations, salt, and temperature, on the swelling kinetics of the hydrogel networks was investigated for the experimental design methodology and artificial neural network-assisted optimization algorithms of the hydrogel networks. The fabricated hydrogels were characterized with FTIR and TGA to determine structural and thermal properties. Moreover, the swelling rate, diffusional exponent (n), and diffusion constant (k) were calculated based on the experimental results of the swelling kinetics of the prepared hydrogels. Consequently, the novel crosslinked networks based on acrylamide-2-hydroxyethyl methacrylate and acrylamide-N-isopropylacrylamide have great potential to be used as hydrogels for superabsorbents with high swelling ratios.

Automated summary

In this study, novel crosslinked hydrogels based on acrylamide-2-hydroxyethyl methacrylate and acrylamide-N-isopropylacrylamide were prepared and their swelling behavior was investigated. The effects of different experimental conditions on the swelling kinetics of the hydrogel networks were studied. The fabricated hydrogels showed great potential to be used as superabsorbents with high swelling ratios.