Development of Predictive Modeling for Immuno-Affinity Chromatography Using Distributed Parameter System: For Purification of Therapeutic Blood Protein

一项全面的基础生物化学工程研究正在进行中。 致力于开发分布参数系统工作模型， 它考虑了分布平衡系数， 系统和操作变量的函数，用于免疫亲和 洁净. 生物化学和免疫化学反应系统， 以及净化过程将进行系统研究， 建立实用的系统模型。 为了这个模型的发展 使用的系统是：（1）人免疫亲和纯化 血浆蛋白C，和（2）使用 蛋白A亲和层析。 的好处和影响 预期的研究成果将是：（1）知识基础的 大规模免疫亲和工艺设计的发展， 血液蛋白质纯化的优化将被拓宽 （2）一个合理的战略将演变，大规模的 可以设计和优化免疫亲和纯化过程 基于预测建模和系统性能仿真。 这项研究应该提供一个更深入的了解微观 更好地理解宏观现象 涉及到大规模的优化设计和操作策略， 免疫亲和纯化系统。 实验和 将进行理论研究， 建立一个知识库，开发一个最佳设计， 通过数学建模和 实验验证 蛋白质C是一种蛋白质， 血液中的功能包括阻断血液凝固 途径和溶解的凝块在动物，从而维持 在人体内止血。 缺乏这种蛋白质会导致 复杂的凝血相关症状，如 血栓栓塞、中风，甚至猝死。

A comprehensive fundamental biochemical engineering study is being undertaken to develop a distributed parameter system working model, which takes into consideration distributed equilibrium coefficients as a function of system's and operational variables, for immuno-affinity purification. The biochemical and immuno-chemical reaction system as well as the purification process will be studied systematically to develop a practical systems model. For the development of this model the systems to be used are: (1) immuno-affinity purification of human plasma Protein C, and (2) purification of monoclonal antibodies using Protein A affinity chromatography. The benefits and impact of the anticipated research results will be: (1) The knowledge base for the development of large-scale immuno-affinity process design and optimization for the purification of blood proteins will be broadened and advanced, (2) A rational strategy will evolve by which large-scale immuno-affinity purification processes can be designed and optimized based on predictive modeling and the simulation of system performance. This study should provide a greater insight into the microscopic phenomena and also a better understanding of macroscopic phenomena related to the optimal design and operational strategy for large scale immuno-affinity purification systems. Both experimental and theoretical studies will be carried out to establish a knowledge base and to develope an optimal design and operational strategy through mathematical modeling and experimental verification. Protein C is a protein whose functions in blood include both blocking the blood coagulation pathways and dissolution of clots in animal, thus maintaining hemostasis in the human body. Lack of this protein causes complicated blood clotting related symptoms, such as thromboembolism, stroke, or even sudden death.