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Feedback Regulation in Preparative Elution Chromatography
Author(s) -
Frey Douglas D.
Publication year - 1991
Publication title -
biotechnology progress
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.572
H-Index - 129
eISSN - 1520-6033
pISSN - 8756-7938
DOI - 10.1021/bp00009a003
Subject(s) - controllability , elution , singular value decomposition , chromatography , yield (engineering) , nonlinear system , process (computing) , control theory (sociology) , biological system , inverse , mathematics , chemistry , analytical chemistry (journal) , computer science , control (management) , materials science , physics , algorithm , artificial intelligence , biology , geometry , quantum mechanics , metallurgy , operating system
Input‐output models utilizing discrete variables are developed for elution chromatography and used together with control theory to investigate behavior patterns between output variables (e.g., yield, purity, and production rate) and input variables (e.g., cut point locations and feed slug size). Variable interactions and controllability characteristics for isocratic and stepwise gradient elution in linear and nonlinear chromatography are investigated by using the relative gain array, singular value decomposition, and direct simulation. Inverse‐based regulatory systems are evaluated for updating process inputs by using information on process outputs such that product quality and system performance parameters are efficiently maintained for the case where the column is overloaded and the solute peaks overlap with each other. Strategies for feedback optimizing control are also discussed.