文献类型：期刊文献

中文题名：基于参考曲线模型和并行非线性最小二乘算法的HPLC-DAD数据分解

英文题名：Separation of the HPLC-DAD Data Set Based on Reference Curve Model and Parallel Nonlinear Least Square

作者：崔立志[1];凌志浩[1]

机构：[1]华东理工大学化工过程先进控制与优化技术教育部重点实验室,上海200237

年份：2015

卷号：41

期号：5

起止页码：686

中文期刊名：华东理工大学学报（自然科学版）

外文期刊名：Journal of East China University of Science and Technology

收录：CSTPCD;;Scopus;北大核心:【北大核心2014】；CSCD:【CSCD2015_2016】；

语种：中文

中文关键词：HPLC-DAD数据分解;参考曲线模型;并行非线性最小二乘算法

外文关键词：separation of the HPLC-DAD data set; reference curve model; parallel nonlinear least square

摘要：HPLC-DAD数据分解问题是化学计量学领域的一个重要课题,也是很多其他研究领域的前提和基础。本文基于参考曲线模型,构造了一种三参数的色谱峰参考曲线,并提出了并行非线性最小二乘算法对参考曲线模型(RCM)进行求解。通过仿真实验和HPLC-DAD数据实验,验证了本文提出的方法具有分辨率高、收敛速度快、参数易控制等特点。
The separation of the HPLC-DAD data set is an important issue in the field of chemometrics and is also the foundation of many other researches. By means of the reference curve model, this paper constructs a kind of 3-parameter reference curve for chromatogram peak and proposes an optimization algorithm of parallel nonlinear least square to solve the reference curve model. It is shown via simulations and experiments that compared with other methods, the proposed method has higher resolution, quicker convergence and easy control of parameters.