RESOLUTION OF MULTICOMPONENT PROFILES WITH PARTIAL SELECTIVITY - A COMPARISON OF DIRECT-METHODS

Authors
GRUNG B KVALHEIM OM
Citation
B. Grung et Om. Kvalheim, RESOLUTION OF MULTICOMPONENT PROFILES WITH PARTIAL SELECTIVITY - A COMPARISON OF DIRECT-METHODS, Chemometrics and intelligent laboratory systems, 29(1), 1995, pp. 75-87
Citations number
14
Categorie Soggetti
Computer Application, Chemistry & Engineering","Instument & Instrumentation","Chemistry Analytical","Computer Science Artificial Intelligence","Robotics & Automatic Control
Journal title
Chemometrics and intelligent laboratory systems → ACNP
ISSN journal
01697439
Volume
29
Issue
1
Year of publication
1995
Pages
75 - 87
Database
ISI
SICI code
0169-7439(1995)29:1<75:ROMPWP>2.0.ZU;2-P
Abstract
Three procedures for resolution of multicomponent systems were tested for their ability to deal with partial selectivity. The methods were e volving factor analysis (EFA), heuristic evolving latent projections ( HELP) and the method of orthogonal projections. An extensive data simu lation, in which five factors were varied according to a full 2(5) fac torial design, was carried out to test the methods. The simulations sh owed HELP to be the most powerful method for resolution. The importanc e of the design variables was qualitatively studied by means of PLS mo dels. Several parameters, among them the net analytical signal, were f ound to be unable to alone say anything conclusively about HELP's chan ces for successfully resolving the systems.