Prediction of hydrogel pore size by pulse NMR and neural networks

Temperature-sensitive hydrogels swell and collapse reversibly in aqueous solution. The hydrogel process is a different form of ultrafiltration and has been used to separate biological molecules. In this study, the gel pore size was predicted by pulse NMR technique and neural network using a data base obtained from gel filtration chromatography and diffusion experiment.