摘要
传统方法分离混合样本蛋白时,受到溶剂浓度、温度和时间影响,导致蛋白参数优化效果较差.为了解决上述问题,提出了热场流分离混合样本蛋白的参数优化方法.分析热场流分离流道几何形状和热场流分离原理,计算分离混合样品的动力学直径,标定通道的实际高度,获取相关参数信息.以分离度为参考指标,充分考虑分离时间、峰形因素.研究蛋白分子水力半径之差与腔室内保留时间差之间关系,获取分离蛋白优化条件参数,依据蛋白参数优化流程,计算水解度和短肽得率,实现热场流分离混合样本蛋白的参数优化仿真.在实验材料、试剂与仪器支持下,进行仿真研究,由仿真结果可知,热场流分离优化方法在不同溶剂浓度、温度和时间影响条件下,都与实际分离率一致,具有良好参数优化效果,为热场流分离蛋白质未来发展方向打下坚实基础.
The traditional method for separating mixed sample proteins is affected by solvent concentration,temperature and time,which leads to poor optimization of protein parameters. To solve this problem,a parameter optimization method for thermal field flow separation of mixed sample proteins is proposed. Analyze the thermal field flow separation channel geometry and thermal field flow separation principle,calculate the dynamic diameter of the separated mixed sample,calibrate the actual height of the channel,and obtain relevant parameter information. Taking the separation as a reference index,the separation time and peak shape factors are fully considered. The relationship between the difference between the hydraulic radius of the protein molecule and the retention time difference in the chamber was studied. The optimized condition parameters of the isolated protein were obtained. According to the protein parameter optimization process,the hydrolysis degree and the short peptide yield were calculated,and the parameter optimization simulation of the mixed sample protein in the thermal field flow separation was realized. With the support of simulation materials,reagents and instruments,the simulation study is carried out. It is known from the simulation results that the thermal field flow separation optimization method is consistent with the actual separation rate under different solvent concentration,temperature and time influence conditions,and has good parameter optimization effect. It lays a solid foundation for the future development of thermal field flow separation proteins.
作者
蒋东霖
邵丽颖
JIANG Dong-lin;SHA(College of Mechanical Engineering,Changchun Normal University,Changchun Jilin 130032,China)
出处
《计算机仿真》
北大核心
2019年第10期179-183,共5页
Computer Simulation
基金
2017年吉林省教育厅“十三五”科学技术项目(JJKH20170652KJ)
关键词
热场流
分离
混合样本
蛋白
参数优化
Heat field flow
Separation
Mixed samples
Protein
Parameter optimization
