- Classify raw materials and better understand their properties using exploratory data analysis
- Incorporate The Unscrambler® models with NIR spectrometers to determine end points of blending, drying and coating processes
- Use The Unscrambler® developed models with analytical laboratory based instruments to determine the moisture or active content in lyophillised or solid dose products
- MVA and DoE form one of the four key aspects of the Process Analytical Technology (PAT) initiative. Determine the parameters that are critical to quality with The Unscrambler® and build your processes using Quality by Design (QbD)
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- Use multivariate models and NIR spectroscopy to monitor gasoline blending operations
- Design new materials for wind generators and other renewable energy applications
- Monitor coal quality online using multivariate models incorporating infrared spectroscopy and process equipment outputs
- Use Principal Component Analysis (PCA) for locating new oil reserves based on geochemical data
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- Optimise paint and other polymer based products and processes with process-mixture designs
- Design new semi-conductor materials 4Use process outputs and other measurement equipment to monitor the quality of fertiliser production with multivariate process models
- Improve paper and pulp operations by measuring critical raw material feeds and liquors
- Use predictive modelling with process spectrometers to assess quality attributes of high value commodities during the progress of chemical reactions
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- Formulate new food and beverage products using designed experiments according to consumer segment requests
- Target key markets using cluster analysis and consumer segmentation
- Use The Unscrambler® to
- Optimise baking times for pastry products
- Blend the best combination of wines based on preference and cost
- Improve the look and texture of new and existing products based on trained sensory panel evaluations
- Reengineer competitive products
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.PNG)
