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1. Change this heading Process Simulation 2014 Name1, Name2, Conclusions Introduction The font sizeshould be at least 28!!! The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. . • Result 1 • Result 2 • Some data: Optimal operating point Concentration (mg/mL) Theory and Methods Volume (mL) Soft-sensing Simulation of control space The quickbrownfoxjumps over the lazy dog. The quickbrownfoxjumps over the lazy dog. The quickbrownfoxjumps over the lazy dog. The quickbrownfoxjumps over the lazy dog. The quickbrownfoxjumps over the lazy dog. The quickbrownfoxjumps over the lazy dog. UV cut strategies and optimal UV cut Elution time of impurity (mL) Optimal UV cut as a function of parameter variations Salt in feed BSA in feed IgG in feed • Outcomes: • Key process parameter - feed salt concentration. • Soft-sensor parameter – elution time of impurity. UV absorbance at cutpoint 1 (mAU) UV absorbance at cutpoint 1 (mAU) Salt in feed Salt in strong buffer UV absorbance at cutpoint 1 (mAU) Results Salt in weak buffer Normalized feed salt concentration Elution time of impurity (mL) Control strategies The quickbrownfoxjumps over the lazy dog. The quickbrownfoxjumps over the lazy dog. Three principles for determining UV cut: Cut at fixed UV value – common industrial procedure. Let UV cut be a function of measured key parameter. Let UV cut be a function of soft-sensor parameter Soft-sensor control (strategy 3) Direct measurement control (strategy 2) PCS conductivity UV absorbance (mAU) UV Process simulation 2013 www.chemeng.lth.se/ketn01/ feed column A product B time waste Volume (mL) Feed forward Discussion Results