A systematic approach for scale-down model development and characterization of commercial cell culture processes.

Biotechnol Prog

Process Engineering and Cellular Science and Technology, Amgen Inc., Thousand Oaks, California 91320, USA.

Published: August 2006

The objective of process characterization is to demonstrate robustness of manufacturing processes by understanding the relationship between key operating parameters and final performance. Technical information from the characterization study is important for subsequent process validation, and this has become a regulatory expectation in recent years. Since performing the study at the manufacturing scale is not practically feasible, development of scale-down models that represent the performance of the commercial process is essential to achieve reliable process characterization. In this study, we describe a systematic approach to develop a bioreactor scale-down model and to characterize a cell culture process for recombinant protein production in CHO cells. First, a scale-down model using 2-L bioreactors was developed on the basis of the 2000-L commercial scale process. Profiles of cell growth, productivity, product quality, culture environments (pH, DO, pCO2), and level of metabolites (glucose, glutamine, lactate, ammonia) were compared between the two scales to qualify the scale-down model. The key operating parameters were then characterized in single-parameter ranging studies and an interaction study using this scale-down model. Appropriate operation ranges and acceptance criteria for certain key parameters were determined to ensure the success of process validation and the process performance consistency. The process worst-case condition was also identified through the interaction study.

Download full-text PDF

Source
http://dx.doi.org/10.1021/bp0504041DOI Listing

Publication Analysis

Top Keywords

scale-down model
20
process
9
systematic approach
8
cell culture
8
process characterization
8
key operating
8
operating parameters
8
characterization study
8
process validation
8
interaction study
8

Similar Publications

Article Synopsis
  • A model was developed to analyze the noise and randomness in fluorescence signals under continuous wave (CW) and time-gated (TG) conditions, focusing on how different excitation photon flux affects fluorophore emission.
  • Both ensemble and stochastic models were validated through Monte Carlo molecular dynamics simulations using the Gillespie algorithm, showing their effectiveness in capturing the dynamics of fluorescence.
  • The study explores the implications of the model for designing biomolecular fluorescence detection systems, emphasizing trade-offs related to signal-to-noise ratios and detection limits as systems shrink to micro- and nano-scales, highlighting the advantages of TG systems in terms of cost and complexity when suitable fluorophores are used.
View Article and Find Full Text PDF

Energy consumption forecasting for laser manufacturing of large artifacts based on fusionable transfer learning.

Vis Comput Ind Biomed Art

December 2024

College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, Zhejiang, 325000, China.

This study presents an energy consumption (EC) forecasting method for laser melting manufacturing of metal artifacts based on fusionable transfer learning (FTL). To predict the EC of manufacturing products, particularly from scale-down to scale-up, a general paradigm was first developed by categorizing the overall process into three main sub-steps. The operating electrical power was further formulated as a combinatorial function, based on which an operator learning network was adopted to fit the nonlinear relations between the fabricating arguments and EC.

View Article and Find Full Text PDF
Article Synopsis
  • Wolbachia incompatible insect technique (IIT) programs effectively suppress mosquito populations that carry diseases like dengue and Zika, but repeated releases of infected male mosquitoes are resource-intensive.
  • A process-based model was developed to analyze the dynamics of mosquito populations under various release strategies in Singapore, revealing that reducing release frequency and redistributing mosquitoes can maintain efficacy while lowering resource use.
  • The study suggests that scaling down release events and redistributing mosquito populations can significantly decrease resource needs (up to 44% fewer mosquitoes needed) without compromising the program's effectiveness, providing valuable insights for optimizing future IIT programs.
View Article and Find Full Text PDF

Process intensification has become an important strategy to lower production costs and increase manufacturing capacities for biopharmaceutical products. In particular for the production of viral vectors like lentiviruses (LVs), the transition from (fed-)batch to perfusion processes is a key strategy to meet the increasing demands for cell and gene therapy applications. However, perfusion processes are associated with higher medium consumption.

View Article and Find Full Text PDF

The potential of the island of La Palma (Canary Islands) to host geothermal resources is very high, mainly due to its high volcanic activity. The primary goal of this study is to get a tridimensional image of the seismic intrinsic attenuation using ambient seismic noise and to identify anomalies that may be linked to active geothermal reservoirs on La Palma island. For this purpose, we developed a new Ambient Noise Attenuation Tomography (ANAT) technique, which uses seismic ambient noise for imaging intrinsic attenuation in 3-D at a local scale down to 5 km depth.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!