The term multivariate analysis refers to group of mathematical techniques used to analyse large data sets. Principal component analysis (PCA), Partial least squares (PLS) and PLS-DA (PLS discriminant analysis) are in common use in pharmaceutical development and extensive applications of these techniques have been demonstrated in the biopharma sector. Some of these application are listed below

• Verification and validation of scale up and scale down process models
• Mining and analysis of historical data to identify critical process parameters
• Understanding of process variability and supporting root cause analysis
• Linking typical process variability to product quality.
• NIR , Raman, & Mid-IR sensor calibration for process monitoring and control

Dr O’Kennedy has over 10 years of experience applying MVA techniques to maximise the value of process development and manufacturing data. Tools and techniques have been developed to facilitate MVA model building and analysis

Data collection and collation tools –

80% of the time taken to carry out MVA can be in data set preparation and annotation. ROK Bioconsulting has developed a number of tools to reduce preparation time and better understand your process.

Visualization tools and techniques –

MVA analysis and interpretation depends on creating clear visualizations that best explain a dataset. These tools and techniques have been adapted for use in biopharma applications.

Training and development:

ROK Bioconsulting can provide training specifically tailored to bioprocess scientists with supporting bioprocess based case studies and examples.

For more information, please contact ronan@rokbioconsulting.com