Measurement and correlation study of silymarin solubility in supercritical carbon dioxide with and without a cosolvent using semi-empirical models and back-propagation artificial neural networks
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DOI: 10.1016/j.ajps.2017.04.004
Abstract: Graphical Abstract In the present work, the solubility data of silymarin (SM) in pure supercritical carbon dioxide (SCCO2) and SCCO2 with added cosolvent was measured at temperatures ranging from 308 to 338 K and pressures from… read more here.
Keywords: models back; semi empirical; propagation artificial; supercritical carbon ... See more keywords