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Conditional/non‐conditional probabilities and information entropies assigned to high‐performance liquid chromatography with diode array and fluorescence detection
Author(s) -
David Victor,
Medvedovici Andrei
Publication year - 2005
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.902
Subject(s) - fluorescence , conditional probability , chromatography , chemistry , absorbance , formalism (music) , conditional entropy , high performance liquid chromatography , analytical chemistry (journal) , biological system , mathematics , statistics , physics , optics , principle of maximum entropy , art , musical , visual arts , biology
A general formalism describing the main conditional and non‐conditional probabilities as well as their corresponding information entropies that can be assigned to analysis by high‐performance liquid chromatography with diode array and fluorescence detection is discussed. Some quantitative parameters of the detection (absorbance, fluorescence, peak height, data acquisition rate) are used in order to estimate these probabilities. The events within chromatographic peaks are conditioned by their maximum (peak height). Several examples are discussed and conditional and non‐conditional information entropies by Shannon's formula are evaluated by given relationships. Copyright © 2005 John Wiley & Sons, Ltd.