摘要
该文基于纳滤分离中的溶解-扩散效应和电荷效应理论,拟合传质系数与初始浓度的相关性,构建预测辛弗林传质过程中的数学模型,并验证其适用性。实验结果表明,操作压力与膜通量存在线性关系,随着辛弗林浓度升高膜通量出现衰减。在溶解-扩散效应和电荷效应的双重作用下,其传质系数与初始浓度呈现幂函数相关,回归系数均大于0.9,发现解离状态下的辛弗林传质系数小于游离态及解离-游离共存态。建立的纳滤传质预测数学模型,通过枳实提取液验证发现辛弗林截留率与实验值接近,该模型实用可行。以辛弗林为例建立的纳滤分离预测模型,解决了中药生物碱类成分纳滤分离机制不清晰的问题,为中药生物碱类成分的常温化精制富集提供理论和技术支撑。
Based on the solution-diffusion effect and the charge effect theory in nanofihration separation, the correlation between in- itial concentration and mass transfer coefficient was constructed to establish a mathematic model of synephrine in mass transfer process and verify its applicability. The experimental results showed that there was a linear relationship between operation pressure and mem- brane flux. Meanwhile, the membrane flux was gradually decayed with the increase of solute concentration. Besides, mass transfer co- efficient and initial concentration of synephrine showed power function correlation with each other by solution-diffusion effect and the charge effect, and the regression coefficients were greater than 0. 9. The mass transfer coefficient of dissociation synephrine was less than that in the state of free and free-dissociation. Moreover, on the basis of power function relationship between mass transfer coefficient and initial concentration, the results showed that the predicted rejections of synephrine from Citrus auratttium water extract by use of the mathematical model approximated well to real ones, verifying that the model was practical and feasible. The unclear separation mechanism of nanofihration for alkaloids was clarified preliminary by the predicted model of nanofihration separation with synephrine as the example, providing theoretical and technical support for nanofihration separation, especially for traditional Chinese medicine with alkaloids.
出处
《中国中药杂志》
CAS
CSCD
北大核心
2017年第23期4598-4603,共6页
China Journal of Chinese Materia Medica
基金
国家自然科学基金项目(81503258
81603307)
江苏省自然科学基金青年基金项目(BK20151005)
江苏省高校自然科学基金项目(17KJB360010)
关键词
辛弗林
纳滤
传质过程
电荷效应
溶解-扩散效应
synephrine
nanofiltration
mass transfer process
charge effect
solution-diffusion effect