Experimental study of the influence of the flow rates in SMB chromatography

Experimental study of the influence of the flow rates in SMB chromatography
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SMB色谱中流速影响的实验研究

DOI:
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发表时间:
1997
期刊:
影响因子:
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通讯作者:
G. Guiochon
G. Guiochon
中科院分区:
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文献类型:
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作者:
T. Yun;G. Zhong;G. Guiochon

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使用Sorbex型SMB分离仪器,在一系列8个填充有Zorbax C18键合硅胶的柱上,使用甲醇和水的60:40(v/v)溶液作为移动的流动相,分离2-苯基乙醇和3-苯基-1-丙醇的混合物。实验是在线性条件下用低浓度混合物进行的。在测定萃余液和提取物组成的同时,记录了稳态条件下该组任意两个连续色谱柱之间两种化合物的洗脱曲线。将4个安全裕度因子β j分为两组:β 1和β 4 ; β 2和β 3,影响程度不同。在色谱的线性、理想模型的框架内,一系列的流速使SMB能够成功地将进料完全分离为两种组分。通过计算和实验研究了不同流量对分离器性能的影响,两者之间具有良好的一致性。通过简单的优化策略,选择四种流速以最大化提取物和萃余液产物的生产速率或浓度,或最小化解吸剂消耗。这些最佳条件是通过控制SMB内浓度分布的位置获得的。一个可靠的模拟移动床操作模型允许快速和容易地选择最佳实验条件。
A Sorbex-type SMB separation instrument was operated for the separation of mixtures of 2-phenyl ethanol and 3-phenyl-1-propanol on a series of eight columns packed with Zorbax C18 bonded silica, using a 60:40 (v/v) solution of methanol and water as the mobile phase. The experiments were carried out with low-concentration mixtures under linear conditions. The elution profiles of both compounds between any two successive columns of the set under steady-state conditions were recorded while compositions of the raffinate and extract were measured. The four safety margin factors, β j , were divided into two groups: β 1 and β 4 ; β 2 and β 3 with different influence. Within the framework of the linear, ideal model of chromatography, a range of flow rates enables an SMB to operate successfully by completely separating the feed into its two components. The influence of different flow rates on the performance of the separator was studied by calculations and experiments with excellent agreement between both sets. With a simple optimization strategy, the four flow rates are selected to maximize the production rate or the concentration of extract and raffinate products, or to minimize the desorbent consumption. These optimum conditions are obtained by controlling the locations of concentration profiles inside the SMB. A reliable model for SMB operation allows a rapid and easy selection of the optimum experimental conditions.