Search results for "multivariate"
Article
Single-use Bioreactors Have Reached the Big Time
Recipe functions and data acquisition and analysis capabilities, including most recently multivariate data analysis, allow for effective monitoring of bioprocesses and provide greater confidence in th…
Article
Automating Bioprocesses
The industry is still at an early stage, but companies are beginning to do multivariate modelling and gaining the processing knowledge needed for effective continuous manufacturing.
BioPharm: How …
Article
Modeling Bioreactor Performance
He also notes that multivariate data analysis packages can transform at-line/online/near-line data into process knowledge, particularly the prediction of batch trajectories and outcomes in real time. …
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
Tools for Continuous Bioprocessing Development
Could perfusion microbioreactors bring more agility to biomanufacturing?
By Rajeev J. Ram
In semiconductor manufacturing, for example, a thorough understanding of process variation allows co…
Article
DoE Provides Benefits, but Preparation Is Necessary
In addition, a DoE-driven approach meets the International Conference on Harmonization Q8 guidelines for multivariate design space and the subsequent justification of formulation components when devel…
Article
Application of Quality by Design to Viral Safety
Identification of a multivariate design space in which data support the impact that multidimensional process parameter ranges will have on critical quality parameters enables process consistency. The …
Article
Evaluating Design Margin, Edge of Failure and Process
Using a risk-based and multivariate approach is a best practice in generating the design space. Determination of failure rates and design margin during development is a best practice. One should inclu…
Article
Quality by Design—Bridging the Gap between Concept and Implementation
According to the case study, evaluation of statistical calculations, such as multivariate analysis, and the choice of experimental models on which QbD approaches are based, are challenging and require…
Article
Determining Criticality–Process Parameters and Quality Attributes Part III: Process Control Strategies—Criticality throughout the Lifecycle
This classical multivariate approach combines impact from each CPP to predict the response of the CQA as each CPP moves through its PAR. These mathematical expressions can be represented graphically a…