Search results for "multivariate" in Articles / App Notes
Article
Use of Multivariate Data Analysis in Bioprocessing
Implementation of these tools, however, inadvertently results in large complex datasets with underlying multivariate interactions. Further, any optimization efforts targeted to improve product yield o…
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Remote Monitoring and Big Data Advance Upstream Automation
The key component to all of this is software capable of integrating the variety of lab equipment and resulting data allowing for multivariate data analysis and process control,” he says.
Notable r…
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Improving PAT for Biologics
As a consequence, real-time PAT Q-data management systems and multivariate analysis programs are increasingly being used.
Chemometrics
The continuous real-time quality control and assurance th…
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Moving PAT from Concept to Reality
In bioreactors, in-line sensors measure pH, temperature, dissolved oxygen (DO), and carbon dioxide; in-line optical sensors (Raman, NIR) are coupled with multivariate modeling to measure metabolites. …
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Setting Up Bioprocessing Systems for Digital Transformation
But how would this work? Hahn answers that question by explaining that AI, multivariate, and mechanistic models serve to better interpret complex, multidimensional data, which therefore enables improv…
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QbD Improves Cell-Culture Process Control
Using a QbD strategy that implements PAT offers the advantage of real-time process monitoring and, subsequently, quality control based on the application of multivariate data analysis and mathematical…
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Digitalization: The Route to Biopharma 4.0
The industry realizes that there is a limit on the number of experiments that is feasible, and, hence, extensive use of methodologies such as design of experiments and multivariate data analysis is be…
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Assessing Manufacturing Process Robustness
As a result, the database must be developed so that it maximizes the utilization of existing product/process data for multivariate statistical analysis such as correlations. The database is created fo…
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Combining Microbioreactors and Advanced Statistical Techniques to Optimize a Platform Process for a New Host-Cell Line
Second, better systems for collecting, storing, and analyzing process data have facilitated the application of multivariate data analysis (MVDA) to historical bioprocess data. These developments have …
Article
Robust Optimization, Simulation, and Effective Design Space
Design of experiments (DOE) and other multivariate analysis techniques assist the developer in mapping out the design space and building process models. Once the DOE is complete, the developer can use…