Abstract
A theory on flow rate optimization in column chromatography is presented on the basis of information theory. The quality of a given chromatogram is evaluated by the information flow ϑ which is defined as the time-averaged amount of Shannon mutual information called FUMI. The theory developed here is a universal one: the new formula of FUMI, put-forward here, takes a general form applicable to system evaluation, design and optimization of any chromatographic variables which can be related to Gaussian peak shape.
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Hayashi, Y. Information Theory of Optimization in Chromatography. ANAL. SCI. 6, 15–19 (1990). https://doi.org/10.2116/analsci.6.15
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DOI: https://doi.org/10.2116/analsci.6.15