Thursday 22nd March 2018
Webinar on Particle Measurement in Process
22nd March 2018 at 3 pm (UK time)
In the chemical industry, more than 75% of materials processed are in particulate form to form a large variety of products such as pharmaceuticals, abrasives, paints, etc. These particle behaviours, such as flow, dissolution, flocculation, and sedimentation, are closely linked to particle characteristics such as particle shape, size, etc. - all of which can vary greatly. Traditionally, particle size measurements have been taken essentially by off-line techniques such as sieving, laser diffraction, and microscopy. Spectroscopy is the most prominent method for in-line process analytics. However, the presence of particulates causes light scattering effect, a universal phenomenon affecting all optical based spectroscopic techniques. It results in coupling of physical and chemical information in the spectra and breaks down the linear relationship between the spectral intensity and the concentration of the chemical species, causing significant errors in estimating accurately and reliably chemical information.
Currently, the common approach to reduce the impact of light scattering is by performing spectra pre-processing before apply multivariate regression analysis to mitigate undesired spectral variation caused by the scattering effect of the particles. The pre-processing methods can be categorised into three types – empirical, semi-empirical and physical-based. In the Measurement and Analytical Team (MAT) at the University of Strathclyde, research has been focussed the use and development of measurement-analysis platform for the highly turbid system. The MAT has been working on increasing the fundamental understanding of the light scattering during the process; the research group has conducted many projects which involves using different types of spectra pre-processing methods. The webinar will present the main aspects of the three pre-processing methods, their influence in analysis and applications, discussing the possible future developments of the field.
This webinar will be presented by Dr Claudia Chen from University of Strathclyde.
If you wish to register for this webinar please contact Christine.email@example.com