Data Analysis and Modeling

Nowadays instruments or other sources generate a huge amount of data and often it is not easy to extract the information you need. We have experience with a wide range of mathematical/statistical data analysis methods and can help you extract the information you require.

With the availability of powerful PCs you have access to computationally intensive methods and can replace expensive/time consuming measurements with fast/cheap measurements, and using calibration models you can predict the difficult-to-measure parameters. Such models were created, for example

• To predict boiling point, freezing temperature, viscosity, density and total aromatics of diesel fuels from their near infrared spectra.
• To predict moisture, oil, protein and starch from near infrared spectra.
• To predict total sugar, glucose, fructose and sucrose in fruit juices from near infrared spectra.
• To predict additives in high-density polyethylene from infrared spectra.
• To predict flavour enhancers in food preparations from spectrophotometric data.
• To predict detergent content from infrared spectra.

If you think you can save time/money with such calibration models, then we can help you to select the calibration method and develop the model for you.