Thesis supervisor: Dorián László Galata
Location of studies (in Hungarian): BME Department of Organic Chemistry and Technology Abbreviation of location of studies: BME
Description of the research topic:
In the pharmaceutical industry, it is vital to ensure that the patient always receives a treatment of the specified quality. However, the industry is currently dominated by off-line quality control measurements. These can only characterize a negligible amount of the product, and they do not allow real-time feedback control of the processes. With the application of novel sensors such as vibrational spectroscopy, chemical imaging and machine vision, pharmaceutical operations can be monitored in real-time. The analysis of the data recorded by these techniques requires advanced mathematical methods. Spectra and chemical images can be processed with multivariate data analysis methods such as principal component analysis, partial least squares or multivariate curve resolution. The images recorded by digital cameras often require advanced object detection algorithms based on artificial intelligence.
The PhD student will use the aforementioned techniques to realize the real-time analysis and control of commonly used pharmaceutical processes such as powder homogenization, granulation, tableting and film coating.
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