Towards a digital bioprocess replica: computational approaches in biopharmaceutical development and manufacturing

J Smiatek, A Jung, E Bluhmki - Trends in Biotechnology, 2020 - cell.com
Quantitative unit operation models for the optimization and refinement of modern late-stage
biopharmaceutical drug manufacturing processes have recently attracted increasing …

About model validation in bioprocessing

V Rajamanickam, H Babel, L Montano-Herrera… - Processes, 2021 - mdpi.com
In bioprocess engineering the Qualtiy by Design (QbD) initiative encourages the use of
models to define design spaces. However, clear guidelines on how models for QbD are …

Artificial neural network and response surface methodology for modeling reverse osmosis process in wastewater treatment

SM Alardhi, AD Salman, SJM Breig, AA Jaber… - Journal of Industrial and …, 2024 - Elsevier
The reverse osmosis (RO) process is widely utilized to reduce highly hazardous chemicals
in wastewater, resulting in decreased electrical conductivity and enhanced usability …

[HTML][HTML] Generic and specific recurrent neural network models: Applications for large and small scale biopharmaceutical upstream processes

J Smiatek, C Clemens, LM Herrera, S Arnold… - Biotechnology …, 2021 - Elsevier
The calculation of temporally varying upstream process outcomes is a challenging task.
Over the last years, several parametric, semi-parametric as well as non-parametric …

​ Statistical-based optimization and mechanism assessments of Arsenic (III)​ adsorption by ZnO-Halloysite nanocomposite​

MA Khoddam, R Norouzbeigi, E Velayi, G Cavallaro - Scientific Reports, 2024 - nature.com
Arsenic contamination in aqueous media is a serious environmental problem, especially in
developing countries. In this research, the Box-Behnken response surface methodology was …

Quality-targeting dynamic optimization of monoclonal antibody production

CD Kappatou, A Ehsani, S Niedenführ… - Computers & Chemical …, 2020 - Elsevier
Abstract Compliance with Quality by Design (QbD) constitutes a major challenge in
biopharmaceuticals. Monoclonal antibodies (mAbs) represent a significant …

Applying intensified design of experiments to mammalian cell culture processes

V Nold, L Junghans, L Bisgen, R Drerup… - Engineering in Life …, 2022 - Wiley Online Library
The analysis of data collected using design of experiments (DoE) is the current gold
standard to determine the influence of input parameters and their interactions on process …

Physics‐informed neural networks for biopharmaceutical cultivation processes: Consideration of varying process parameter settings

N Adebar, S Arnold, LM Herrera… - Biotechnology and … - Wiley Online Library
We present a new modeling approach for the study and prediction of important process
outcomes of biotechnological cultivation processes under the influence of process …

[PDF][PDF] Dynamic optimization strategies for monoclonal antibody production

CD Kappatou - 2020 - publications.rwth-aachen.de
This thesis was developed during my time as research assistant at RWTH Aachen University
at the chair of Process Systems Engineering (AVT. SVT). To a great extent this thesis owes …