Parallel model of independent component analysis constrained by reference curves for HPLC-DAD and its solution by multi-areas genetic algorithm

Author

Lizhi Cui ; Poon, Josiah ; Poon, Simon K. ; Kei Fan ; Hao Chen ; Kwan, Paul ; Junbin Coa ; Zhihao Ling

Author_Institution

Sch. of Inf. Technol., Univ. of Sydney, Sydney, NSW, Australia

fYear

2013

fDate

18-21 Dec. 2013

Firstpage

27

Lastpage

28

Abstract

In order to separate a 3D chromatography, which is generated from High Performance Liquid Chromatography-Diode Array Detector (HPLC-DAD), into chromatograms and spectra, we proposed a model called parallel Independent Component Analysis constrained by Reference Curve (pICARC), which transforms the separation problem to a multi-parameter optimization issue. Then, A new algorithm named multi-areas Genetic Algorithm (mGA) is developed to search multiple solutions in parallel. It was demonstrated that our approach could successfully separate a given HPLC-DAD dataset into chromatograms and spectra with little errors and in short computational time.

Keywords

biotechnology; chromatography; genetic algorithms; independent component analysis; 3D chromatography; HPLC-DAD; high performance liquid chromatography-diode array detector; multiareas genetic algorithm; multiparameter optimization; parallel independent component analysis; reference curves; separation problem; Biological cells; Compounds; Data models; Educational institutions; Genetic algorithms; Independent component analysis; Mathematical model; HPLC-DAD data set separation; mGA; pICARC;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedicine (BIBM), 2013 IEEE International Conference on

Conference_Location

Shanghai

Type

conf

DOI

10.1109/BIBM.2013.6732631

Filename

6732631