ISSN:
1612-1112
Keywords:
Chromatography, general
;
Optimization
;
Information theory
;
Kalman filter
Source:
Springer Online Journal Archives 1860-2000
Topics:
Chemistry and Pharmacology
Notes:
Summary The quality of a chromatogram can be numerically characterized by a set of the information functions (Φ, δΦ, ΔΦ) where Φ is called FUMI, δΦ is the information loss, and ΔΦ is the information variation. A chromatogram can be expressed as a point in the space (Φ, δΦ, ΔΦ) and change in a parameter such as wavelength shift draws a curved line in the space. Optimization processes of different parameters display different patterns of lines in the space. Two types of optimization in the space are demonstrated for the analysis of an antipyretics mixture by liquid chromatography. The method used here may lead to a new aspect of optimization theory in chromatography.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF02261392
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