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Fig. 12 Pareto fronts for the 3 possible <t>optimisation</t> parameter combinations: A. glycerol conversion (c) – succinic acid yield (y), B. glycerol conversion (c) – succinic acid productivity (p), C. succinic acid yield (y) – succinic acid productivity (p).
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Fig. 12 Pareto fronts for the 3 possible <t>optimisation</t> parameter combinations: A. glycerol conversion (c) – succinic acid yield (y), B. glycerol conversion (c) – succinic acid productivity (p), C. succinic acid yield (y) – succinic acid productivity (p).
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Fig. 12 Pareto fronts for the 3 possible <t>optimisation</t> parameter combinations: A. glycerol conversion (c) – succinic acid yield (y), B. glycerol conversion (c) – succinic acid productivity (p), C. succinic acid yield (y) – succinic acid productivity (p).
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Fig. 12 Pareto fronts for the 3 possible optimisation parameter combinations: A. glycerol conversion (c) – succinic acid yield (y), B. glycerol conversion (c) – succinic acid productivity (p), C. succinic acid yield (y) – succinic acid productivity (p).

Journal: Reaction Chemistry & Engineering

Article Title: Experimental and computational study of a packed bed bioreactor for the continuous production of succinic acid

doi: 10.1039/d4re00280f

Figure Lengend Snippet: Fig. 12 Pareto fronts for the 3 possible optimisation parameter combinations: A. glycerol conversion (c) – succinic acid yield (y), B. glycerol conversion (c) – succinic acid productivity (p), C. succinic acid yield (y) – succinic acid productivity (p).

Article Snippet: This journal is © The Royal Society of Chemistry 2024 The maximisation problem was then solved to precisely locate the optimal operating conditions, with the use of the Matlab (version 2018a, Mathworks) optimisation toolbox.

Techniques: