Journal papers

Ruszczynski L., Zubov A., O'Connell JP, Abildskov J. (2017), Reliable Correlation for Liquid-Liquid Equilibria outside the Critical Region,  Journal of Chemical & Engineering Data62 , 2842-2854. DOI Post-print 

Ruszczynski L., Zubov A., O'Connell JP, Abildskov J. (2017), Reply to "Comment on" Reliable Correlation for Liquid-Liquid Equilibria outside the Critical Region ",  Journal of Chemical Engineering & Data, 62 , 4043-4044. DOI Post-print

Montes FCC, Gernaey K., Sin G. (2018), Dynamic plantwide modeling, uncertainty and sensitivity analysis of a pharmaceutical upstream synthesis: Ibuprofen case study,  Industrial and Engineering Chemistry Research  (in press). DOI Post-print

Mishra P., Nordon A., Tschannerl J., Lian G., Redfern S., Marshall S. (2018), Near-infrared hyperspectral imaging for non-destructive classification of commercial tea products,  Journal of Food Engineering  (in press) . DOI

Kappatou CD, Mhamdi A., Campano AQ, Mantalaris A., Mitsos A. (2018), Model-Based Dynamic Optimization of Monoclonal Antibodies Production in Semibatch Operation — Use of Reform Techniques, Industrial & Engineering Chemistry Research (in Press). DOI Free e-print (50 available) 

Grilo AL, Mantalaris A. (2018), The Increasingly Human and Profitable Monoclonal Antobody Market,  Trends in Biotechnology  (in press). DOI

Mishra P., Nordon A., Tschannerl J., Lian G., Redfern S., Marshall S., (2018), Near-infrared hyperspectral imaging for non-destructive classification of commercial tea products, Journal of Food Engineering, Volume 238, pp. 70-77, ISSN 0260-8774. DOI

Kappatou, C. D., Mhamdi, A., Quiroga Campano, A., Mantalaris, A., Mitsos, A.. (2018), Model-Based Dynamic Optimization of Monoclonal Antibodies Production in Semibatch Operation—Use of Reformulation Techniques, Industrial & Engineering Chemistry, 57(30), 9915-9924. DOI

Olofsson S., Mehrian M., Geris L., Calandra R., Deisenroth M.P., Misener R. (2018), Bayesian Multi-Objective Optimisation with Mixed Analytical and Black-Box Functions: Application to Tissue Engineering. IEEE Transactions on Biomedical Engineering (in press). DOI

Mehrian M., Guyot Y., Papantoniou I., Olofsson S., Sonnaert M., Misener R., Geris L. (2017), Maximizing neotissue growth kinetics in a perfusion bioreactor: an in silico strategy using model reduction and Bayesian optimization. Biotechnology and Bioengineering, 115(3), 617-629. DOI

Olofsson, S., Hebing, L., Niedenführ, S., Deisenroth, M. P., & Misener, R. (2019). GPdoemd: a python package for design of experiments for model discrimination. Computers & Chemical Engineering, 125, 54-70. DOI 

Khadem B., Sheibat-Othman N. (2019), Modeling of double emulsions using population balance equations, Chemical Engineering Journal, 366, 587-597. DOI 

Jones, M. N., Frutiger, J., Ince, N. G., & Sin, G. (2019). The Monte Carlo driven and Machine Learning enhanced Process Simulator. Computers & Chemical Engineering, 125, 324-338. DOI

Grilo, A. L., & Mantalaris, A. (2019). Apoptosis: A mammalian cell bioprocessing perspective. Biotechnology advances, 37(3), 459-475. DOI

 

http://www.modlife.eu/dissemination/journal-papers
18 OCTOBER 2019