Tirapelle, Monica; Chia, Dian Ning; Duanmu, Fanyi; Besenhard, Maximilian; Mazzei, Luca; Sorensen, Eva; (2024) Global system analysis of on-line comprehensive two-dimensional liquid chromatography in gPROMS. In: Manenti, Flavio and Reklaitis, Gintaras V., (eds.) Book of Abstract of the 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering (ESCAPE34/PSE24). ESCAPE: Florence, Italy.

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Abstract

Process system analysis and consideration of model uncertainty are important toolboxes used by chemical engineers to improve process knowledge, exploit the effect of the most important factors on several output variables, and investigate the inherent uncertainty of model predictions that may arise from uncertainty in input variables and model parameters. These analyses are even more important in regulated environments, where it is crucial to monitor process performance and product quality. In this work, we perform system analysis and model uncertainty analysis of comprehensive two-dimensional liquid chromatography systems that are commonly employed in pharmaceutical analysis. It is found that 1 D flow rate and 2 D column length are the main design parameters influencing the feasibility of a design. But most importantly, deviations from the optimal solution due to model uncertainty are shown to be minimal for the case studies considered.

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