Prediction of hydrogel pore size by pulse NMR and neural networks

Jun Han, R. Roger Ruan, Chang Ho Park

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)637-642
Number of pages6
JournalBiotechnology Techniques
Issue number9
StatePublished - Sep 1995


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