Premium
Resolution of strongly overlapping two‐way multicomponent data by means of heuristic evolving latent projections
Author(s) -
Liang YiZeng,
Kvalheim Olav M.,
Rahmani Ali,
Brereton Richard G.
Publication year - 1993
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/cem.1180070103
Subject(s) - resolution (logic) , heuristic , chromatography , biological system , chemistry , degradation (telecommunications) , chemometrics , analytical chemistry (journal) , high performance liquid chromatography , spectral line , artificial intelligence , computer science , physics , telecommunications , astronomy , biology
High‐performance liquid chromatography with diode array detection (HPLC––DAD) is used to characterize mixtures from chlorophyll a degradation experiments. Overlapping chromatographic peaks are resolved by means of the heuristic evolving latent projections (HELP) method. The HELP method is a self‐modelling curve resolution method. No assumptions are made about spectral and/or chromatographic peak shape. In the first step the method establishes the real noise level in the data by use of the so‐called zero‐component regions. This information is used to reveal selective chromatographic information and the number of chemical species at every retention time in unresolved chromatographic peaks. Utilising the selective chromatographic regions in combination with the zero‐concentration windows, unique resolution into concentration profiles and spectra of the pure chemical species is accomplished. HPLC–DAD data from six chlorophyll a degradation experiments were analysed. Consistent results were obtained even with very similar spectra for six or seven overlapping chemical components.