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Equations of state are basically used for description volumetric and phase behaviour of pure components.
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For parameter estimation, large data-sets of experimentally measured property values of pure components of various classes (hydrocarbons, oxygenated components, nitrogenated components, poly-functional components, etc).
Some time ago methods for the extraction of pure components were reviewed [ 55].
The concentrations of the active components in the extracts can only be indirectly compared to the concentrations of pure components.
Karjalainen proposed alternating regression for the extraction of pure components from GC-MS data [ 52].
Extraction of pure components from overlapped GC-MS signals is both mathematically and conceptually different.
These latent variables are often hard to interpret or relate to spectra of pure components.
In this method, least squares are used to obtain mass spectra of pure components [ 53].
Automated extraction of pure components from co-eluting components in GC-MS data is a challenging problem.
This process results in pure signals, and therefore could be viewed as a method for the extraction of pure components from overlapped signals.
These authors used independent component analysis [ 63] to extract the mass spectra of pure components, and then chromatographic profiles corresponding to these pure components were extracted with an adaptive immune algorithm [ 61].
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