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Prediction of hydrogel pore size by pulse NMR and neural networks

✍ Scribed by Jun Han; R. Roger Ruan; Chang-Ho Park

Publisher
Springer-Verlag
Year
1995
Tongue
English
Weight
488 KB
Volume
9
Category
Article
ISSN
0951-208X

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✦ Synopsis

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.

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