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作 者:钟文蔚 黎万钰 丁菲 李除夕 郑东阳 郭立玮 ZHONG Wen-wei;LI Wan-yu;DING Fei;LI Chu-xi;ZHENG Dong-yang;GUO Li-wei(Department of Traditional Chinese Medicine and Natural Medicine,Guangzhou Institute of Advanced Technology,Chinese Academy of Sciences,Guangzhou 511458,China;Guangzhou Nansha Information Technology Park Post-Doctoral Scientific Research Station,Guangzhou 511458,China;The University of Sydney,Camperdown NSW 2006,Australia;Traditional Chinese Medicine Manufacturing Technology National Engineering Research Center,Nanjing Hailing Pharmaceutical Co.,Ltd.,Yangtze River Pharmaceutical Group.,Nanjing 210000,China;Jiangsu Botanical Medicine Refinement Engineering Research Center,Nanjing University of Chinese Medicine,Nanjing 210023,China;National Engineering Center for Modernization of Extraction and Separation Processing of Traditional Chinese Medicine,Guangzhou Hanfang Pharmaceutical Co.,Ltd.,Guangzhou 510240,China)
机构地区:[1]广州中国科学院先进技术研究所中药与天然产物研发部,广东广州511458 [2]广州南沙资讯科技园有限公司博士后科研工作站,广东广州511458 [3]悉尼大学,澳大利亚新南威尔士州悉尼2006 [4]江苏扬子江药业集团南京海陵药业有限公司中药制药工艺技术国家工程研究中心,江苏南京210000 [5]南京中医药大学植物药深加工工程研究中心,江苏南京210023 [6]广州白云山汉方现代药业有限公司中药提取分离过程现代化国家工程研究中心,广东广州510240
出 处:《中草药》2021年第7期1937-1944,共8页Chinese Traditional and Herbal Drugs
基 金:国家科技部重点研发计划“中医药现代化研究”重点专项(2019YFC1711300);国家博士后科学基金第67批面上资助(2020M672575);国家博士后科学基金第13批特别资助(2020T130130)。
摘 要:目的寻找中药水提液浓缩过程瞬时能耗计算简便方法。方法以玉屏风散为模型药物,测定其水提液浓缩过程中多种溶液环境特征参数的动态变化数据,构建中药溶液环境特征参数白利度(简便、易测、准确)与浓缩能耗计算需要的相关参数的相关性模型。结果白利度与固含率、密度、比热容、导热率等具有优越的线性相关,相关系数(R^(2))均高达0.99左右。结论可通过测定白利度及构建与其他物理参数如比热容(C_(p))、导热率(k_(f))等关系模型,计算浓缩的动态能耗;为中药制药过程工程原理研究开辟新思路。Objective To estimate the minimum energy requirement for the concentration of traditional Chinese medicine extract with ease. Method Yupingfeng Powder was chosen as the model formula. The selected key parameters were measured during the concentration process. Correlations between Brix and other key parameters were established. The significance of predicting the selected key parameters in this study were emphasized with the fundamental energy equations of the concentration processes. Result Brix had a strong correlation with the selected key parameters as the following: solid fractions, density, heat capacity, and thermal conductivity with a high value of R^(2) greater than 0.99. Conclusion By establishing the appropriate relationships between the measured Brix and other key parameters such as heat capacity(C_(p)), and thermal conductivity(k_(f)), the dynamic energy consumption of the concentration processes of traditional Chinese medicine by conventional thermal process or novel membrane process, can be achieved. This will provide valuable insights into the fundamental study in pharmaceutical process engineering of traditional Chinese medicine.
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