This paper deals with the study on the essential oil of zingiber corallium hance obtained by supercritical CO2 extraction and steam distillation.The comparison of technological process characteristics and chemical c...This paper deals with the study on the essential oil of zingiber corallium hance obtained by supercritical CO2 extraction and steam distillation.The comparison of technological process characteristics and chemical composition of these essential oils obtained by supercritical CO2 extraction and steam distillation has been done.Also we have done some experiments on antifungus and antibacterium activities of these oils.For the extraction process of the essential oil of zingiber corallium hance,supercritical CO2 extraction is better than that by steam distillation.The inhibitory activities of the essential oil extracted by both methods are the same.It shows that supercritical CO2 extraction can be as a new technological process used in the extraction for exxential oil of herb.展开更多
测定了紫苏油在超临界CO2 (SC CO2 )中的溶解度 ,利用误差逆传播 (BP)神经网络对溶解度数据进行了拟合。通过对萃取参数与溶解度的关系进行训练 ,实现网络结构的优化 ,建立了紫苏油在SC CO2 溶解度的网络模型 ,并将该模型用于一定范围...测定了紫苏油在超临界CO2 (SC CO2 )中的溶解度 ,利用误差逆传播 (BP)神经网络对溶解度数据进行了拟合。通过对萃取参数与溶解度的关系进行训练 ,实现网络结构的优化 ,建立了紫苏油在SC CO2 溶解度的网络模型 ,并将该模型用于一定范围内未知萃取参数下溶解度的预测 ,得到了较高的预测精度。结果表明 ,该方法可作为预测物质在SC CO2 溶解度的一种有效手段。展开更多
文摘This paper deals with the study on the essential oil of zingiber corallium hance obtained by supercritical CO2 extraction and steam distillation.The comparison of technological process characteristics and chemical composition of these essential oils obtained by supercritical CO2 extraction and steam distillation has been done.Also we have done some experiments on antifungus and antibacterium activities of these oils.For the extraction process of the essential oil of zingiber corallium hance,supercritical CO2 extraction is better than that by steam distillation.The inhibitory activities of the essential oil extracted by both methods are the same.It shows that supercritical CO2 extraction can be as a new technological process used in the extraction for exxential oil of herb.
文摘测定了紫苏油在超临界CO2 (SC CO2 )中的溶解度 ,利用误差逆传播 (BP)神经网络对溶解度数据进行了拟合。通过对萃取参数与溶解度的关系进行训练 ,实现网络结构的优化 ,建立了紫苏油在SC CO2 溶解度的网络模型 ,并将该模型用于一定范围内未知萃取参数下溶解度的预测 ,得到了较高的预测精度。结果表明 ,该方法可作为预测物质在SC CO2 溶解度的一种有效手段。