大孔树脂层析精制中药成分的模型化方法研究进展
首发时间:2014-10-31
摘要:General rate model(GR模型)、经验模型、人工神经网络模型和其他统计模型常用于模拟中药大孔吸附树脂的层析过程。本文介绍了四种模型的优点和不足,并且以层析分离中的吸附过程为例,明确了四种模型的应用范围。通过合理选择模型,可以明确层析过程参数和过程评价指标的定量关系,从而能够优化参数,有助于稳定层析产液品质和提升精制效率。
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Review on the modeling of TCM chromatographic process using macroporous resins as the adsorbents
Abstract:The general rate model, empirical models, artificial neutral network models, and other statistical models are commonly used in the modeling of TCM chromatographic process using macroporous resins as the adsorbents. The advantages and disadvantages of the models are introduced. The application of the models are discussed using the adsorption process as the example. The quantitative relationships between process parameters and the criteria of a chromatographic process can be determined using a rationally selected model. Process parameters then can be optimized. It is conductive to improve the batch-to-batch consistency of chromatographic products and the efficiency of chromatographic process.
Keywords: Macroporous resin adsorption modelling
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大孔树脂层析精制中药成分的模型化方法研究进展
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