Hybrid Models for the simulation and prediction of chromatographic processes for protein capture
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Hybrid Models for the simulation and prediction of chromatographic processes for protein capture
Authors
Keywords
-
Journal
JOURNAL OF CHROMATOGRAPHY A
Volume -, Issue -, Pages 462248
Publisher
Elsevier BV
Online
2021-05-13
DOI
10.1016/j.chroma.2021.462248
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Model based strategies towards protein A resin lifetime optimization and supervision
- (2020) Fabian Feidl et al. JOURNAL OF CHROMATOGRAPHY A
- Mechanistic Modeling of Preparative Column Chromatography for Biotherapeutics
- (2020) Vijesh Kumar et al. Annual Review of Chemical and Biomolecular Engineering
- Reinforcement learning based optimization of process chromatography for continuous processing of biopharmaceuticals
- (2020) Saxena Nikita et al. CHEMICAL ENGINEERING SCIENCE
- Relations between kinetic parameters of different column models for liquid chromatography applying core-shell particles
- (2019) Shamsul Qamar et al. JOURNAL OF LIQUID CHROMATOGRAPHY & RELATED TECHNOLOGIES
- An overview of mechanistic modeling of liquid chromatography
- (2019) Lalita K. Shekhawat et al. PREPARATIVE BIOCHEMISTRY & BIOTECHNOLOGY
- A new generation of predictive models: The added value of hybrid models for manufacturing processes of therapeutic proteins
- (2019) Harini Narayanan et al. BIOTECHNOLOGY AND BIOENGINEERING
- Optimization of integrated chromatography sequences for purification of biopharmaceuticals
- (2019) Anton Löfgren et al. BIOTECHNOLOGY PROGRESS
- Combining Mechanistic Modeling and Raman Spectroscopy for Monitoring Antibody Chromatographic Purification
- (2019) Feidl et al. Processes
- Optimal Antibody Purification Strategies Using Data-Driven Models
- (2019) Songsong Liu et al. Engineering
- Chromatography Analysis and Design Toolkit (CADET)
- (2018) Samuel Leweke et al. COMPUTERS & CHEMICAL ENGINEERING
- Model-assisted process characterization and validation for a continuous two-column protein A capture process
- (2018) Daniel Baur et al. BIOTECHNOLOGY AND BIOENGINEERING
- Estimation of adsorption isotherm and mass transfer parameters in protein chromatography using artificial neural networks
- (2017) Gang Wang et al. JOURNAL OF CHROMATOGRAPHY A
- Root cause investigation of deviations in protein chromatography based on mechanistic models and artificial neural networks
- (2017) Gang Wang et al. JOURNAL OF CHROMATOGRAPHY A
- Designing affinity chromatographic processes for the capture of antibodies. Part I: A simplified approach
- (2017) D. Pfister et al. JOURNAL OF CHROMATOGRAPHY A
- Comparison of batch and continuous multi-column protein A capture processes by optimal design
- (2016) Daniel Baur et al. Biotechnology Journal
- The role of more than 40 years of improvement in protein A chromatography in the growth of the therapeutic antibody industry
- (2016) Glen R. Bolton et al. BIOTECHNOLOGY PROGRESS
- Downstream process development strategies for effective bioprocesses: Trends, progress, and combinatorial approaches
- (2016) Pascal Baumann et al. ENGINEERING IN LIFE SCIENCES
- Model based adaptive control of a continuous capture process for monoclonal antibodies production
- (2016) Fabian Steinebach et al. JOURNAL OF CHROMATOGRAPHY A
- Comparison of batch and continuous multi-column protein A capture processes by optimal design
- (2016) Daniel Baur et al. Biotechnology Journal
- Optimal model-based design of the twin-column CaptureSMB process improves capacity utilization and productivity in protein A affinity capture
- (2015) Daniel Baur et al. Biotechnology Journal
- Systematic interpolation method predicts protein chromatographic elution from batch isotherm data without a detailed mechanistic isotherm model
- (2015) Arch Creasy et al. Biotechnology Journal
- Development of Gradient Retention Model in Ion Chromatography. Part III: Fuzzy Logic QSRR Approach
- (2015) Šime Ukić et al. CHROMATOGRAPHIA
- Optimal model-based design of the twin-column CaptureSMB process improves capacity utilization and productivity in protein A affinity capture
- (2015) Daniel Baur et al. Biotechnology Journal
- Systematic interpolation method predicts protein chromatographic elution from batch isotherm data without a detailed mechanistic isotherm model
- (2015) Arch Creasy et al. Biotechnology Journal
- Purifying biopharmaceuticals: knowledge-based chromatographic process development
- (2014) Alexander T. Hanke et al. TRENDS IN BIOTECHNOLOGY
- Optimizing a chromatographic three component separation: A comparison of mechanistic and empiric modeling approaches
- (2012) A. Osberghaus et al. JOURNAL OF CHROMATOGRAPHY A
- Design of high productivity antibody capture by protein A chromatography using an integrated experimental and modeling approach
- (2012) Candy K.S. Ng et al. JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES
- Designing new monoclonal antibody purification processes using mixed-mode chromatography sorbents
- (2011) Magali Toueille et al. JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES
- Integration of scale-down experimentation and general rate modelling to predict manufacturing scale chromatographic separations
- (2010) Spyridon Gerontas et al. JOURNAL OF CHROMATOGRAPHY A
- Optimizing model predictive control of the chromatographic multi-column solvent gradient purification (MCSGP) process
- (2010) Cristian Grossmann et al. JOURNAL OF PROCESS CONTROL
- Recovery and purification process development for monoclonal antibody production
- (2010) Hui F. Liu et al. mAbs
- High Throughput Screening for the Design and Optimization of Chromatographic Processes: Automated Optimization of Chromatographic Phase Systems
- (2008) A. Susanto et al. CHEMICAL ENGINEERING & TECHNOLOGY
- A Hybrid Model Framework for the Optimization of Preparative Chromatographic Processes
- (2004) Deepak Nagrath et al. BIOTECHNOLOGY PROGRESS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now