遗传算法用于液相色谱分离条件的优化  被引量:14

Application of Genetic Algorithm in Optimization of Mobile Phase Composition in High Performance Liquid Chromatography

在线阅读下载全文

作  者:陈学国[1] 倪坚毅[1] 邹汉法[1] 赵瑞环[1] 

机构地区:[1]中国科学院大连化学物理研究所国家色谱研究分析中心,辽宁大连116011

出  处:《色谱》2002年第2期97-101,共5页Chinese Journal of Chromatography

摘  要:在参考传统的优化方法的基础上 ,将遗传算法用于等度反相色谱多元流动相分离条件的优化。详细介绍了基于线杂交和面变异的遗传算法的原理及其用于液相色谱分离条件优化的过程。将此法用于 9种小肽的反相离子对色谱分离条件的优化 ,经过 3次寻优操作 ,确定了最佳分离条件 ,实验保留值与预测值的平均相对偏差为0 75 % ,优化结果比较理想。Referring to traditional optimal methods, a method for the optimization of isocratic elution mobile phase composition in high performance liquid chromatography has been developed. In this method, the genetic algorithm based on line-crossover and plane-mutation is used. The principle of genetic algorithm and the process of optimization of mobile phase composition in reversed-phase ion-pair high performance liquid chromatography using genetic algorithm are introduced in details. With the concentrations of acetonitrile and ion-pair reagent sodium octane sulfonate chosen as the optimal parameters, the optimum was obtained by three times of optimization procedures. The mean relative error between the predicted and experimental values was 0.75% at the optimum and the optimization results were satisfactory.

关 键 词:遗传算法 优化 反相离子 高效液相色谱 分离条件 小分子肽 色谱保留值 

分 类 号:O658[理学—分析化学] O242.23[理学—化学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象