Search results for " multivariate data analysis"

Article Use of Multivariate Data Analysis in Bioprocessing
Figure 1: Flowchart illustrating the general workflow of multivariate data analysis (MVDA) of bioprocessing data. MVDA applications in cell-culture operations Cell-culture operations are by far…

Article 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…

Article A Platform Approach for the Identity Testing of Multi-Component Cell-Culture Media
Therefore, NIR does not provide specific identity of the studied material and requires a use of spectral libraries or multivariate data analysis (MVDA) for spectra evaluation. NIR spectroscopy is a ve…

Article Maximizing the Effectiveness of Upstream Bioprocessing Through the Combination of Lab Informatics and Instrumentation
High-throughput techniques such as micro-bioreactor systems are another enabling technology, which, in combination with design of experiments (DoE) and multivariate data analysis (MVDA), support a qua…

Article Determining Criticality–Process Parameters and Quality Attributes Part III: Process Control Strategies—Criticality throughout the Lifecycle
The author applies the continuum of criticality to develop the process control strategy and move through Stages 2 and 3 of the new process validation lifecycle. With the most recent FDA …

Article 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 Moving PAT from Concept to Reality
“Some concepts of modern automation technologies and sensor technologies are not yet covered by regulatory guidelines, particularly those used for multivariate data analysis, which takes all available…

Article DoE Provides Benefits, but Preparation Is Necessary
Nov 1, 2014 By: Cynthia Challener, PhD BioPharm International Volume 11, Issue 27, pp. 28-29  Using a design-of-experiment (DoE) approach allows a formulation development scientist t…

Article Determining Criticality, Part Two: DoE and Data-Driven Criticality
A practical roadmap in three parts that applies scientific knowledge, risk analysis, experimental data, and process monitoring throughout the three phases of the process validation lifecycle. T…

Article Improving PAT for Biologics
Software systems for multivariate data analysis (MVDA) in real-time are highly efficient tools for process monitoring and control of previously established design spaces based on current process param…

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