Applications of a Perturbation Method in Liquid Chromatography

• Main Authors: Lin, Wen-Pin, 林文斌
• Other Authors: Feng-Sheng Wang
• Format: Others
• Language: zh-TW
• Published: 1996
• Online Access: http://ndltd.ncl.edu.tw/handle/30474380299332380340

碩士 === 國立中正大學 === 化學工程研究所 === 84 === In recent years , the biochemical industry have a vigorous development , and the is important for chromatographic separate method from day to day . The is very important method to use computer to simulate a process of chromatographic separation . Do write a simplified mathematics model which was simplication to algebraic equation for using the numerical method behaves the result of separate process very fastly and accurate .The investigate studied in the multi-components porous adsorbents chromatographic separate system . A mathematical model was formulated by following the mass balance and chemical kinetics , the model was lumped rate constant model , and plus apparent adsorption and desorption rate constant . That can describe the multi-components porous adsorbents chromatographic separate system , and ensuing to use the numerical method of perturbation method and modified orthogonal collocation method . The partial differential equations shall simplify to algebraic equations and ensure to solve the numerical solution . To test the accurate of the simplified model and apply these methods to the binary components porous chromatographic separate system of CBZ-leucyl-glycine and CBZ-glycyl-phenylalanine . According to the investigate prefer the simplified model , so we can make the simulation to change the condition in various parameters . To make a comparison of the result of model and the experimental result of literature tries to proof the simplified model is accurate . Application of the model makes optimal investigate , for install the resolution , the optimum injected time , the optimum injected period , the maximum production rate , and so on problem is explored . The resolution increase with increase the column length . The optimum injected time and injected period increase with decrease to require the initial concentration and the final concentration . The throughput decrease with increase the injected time and the injected period .