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CESPE Academy Courses

Design of Experiments (DOE)

COURSE OVERVIEW

The DOE training is hands-on and designed for individuals who want to actively engage in Experimental Design and gain a better understanding of the statistical analysis of experimental data. The course emphasizes the Optimal Design of Experiments, matching the experimental design to the problem while considering all experimental boundary conditions and constraints. Optimal DOE is computer-aided, meaning experiment runs and regression models are generated by computer algorithms; the software package used is JMP. The topics are illustrated through case studies and examples from industrial R&D, making the training particularly relevant for professionals in that field.

The course is divided into two modules, each lasting one full day. The basic module begins by covering the necessary theory, including basic training in linear multiple regression analysis for analyzing experimental data and establishing statistical process models needed for parameter screening and optimization. Additionally, the JMP software package will be introduced, and simple cases will be reviewed to describe the basic DOE approach. The advanced module covers more complex examples with specific experimental conditions. In each of the case studies, the goal is to improve the performance of a process or product through efficient exploration and optimization.



COURSE PROGRAM

A detailed overview of the different modules can be found in the following document.


If you are interested in taking this course, please email sarah.costers@ugent.be or mgadbruy.debruyne@ugent.be.

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News

Official Opening HighTru HTE Centre

We at CESPE were thrilled to attend the official opening of the HighTru Lab. This innovative facility marks a significant milestone as Belgium’s first academic lab capable of high-throughput experimentation (HTE), accelerating chemical and pharmaceutical discoveries.

HTE technology enables the simultaneous conduction and rapid analysis of numerous experiments, for example, by using 96-well plates. By leveraging miniaturization, automation, and advanced data management systems, HTE can efficiently screen vast amounts of chemical space. This approach facilitates the discovery of optimal conditions or novel reactions.

The state-of-the-art equipment of HighTru includes solid and liquid handling robots, a robotic reaction platform with integrated solid and liquid handling, several reaction platforms for high-pressure, photo-, and electrochemistry, a high-throughput UPLC-MS, and a software platform for HTE design, execution, and data analysis. This equipment operates under an open-access model, facilitating collaboration between industry and academia. This remarkable partnership, involving Ghent University, Johnson & Johnson, and the City of Ghent, with funding from the EU Recovery and Resilience Facility, will accelerate research and strengthen Ghent’s reputation as a hub for cutting-edge science.

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Team

Dr. ir. Maarten Debruyne

Operational Manager

Ghent University
Centre of Excellence in Sustainable Pharmaceutical Engineering & Manufacturing
Faculty of Pharmaceutical Sciences
Campus Heymans
Ottergemsesteenweg 460
B-9000 Gent, Belgium

mgadbruy.debruyne@ugent.be

+32 9 264 81 18

Maarten earned his Ph.D. from Ghent University in 2023, conducting research on the application of Porous Organic Polymers as new photocatalysts at the Synthesis, Bioresources, and Bioorganic Chemistry (SynBioC) research group. He then pursued postdoctoral research for Circa, focusing on the use of biorenewable chemicals as building blocks for pharmaceutical synthesis. Maarten joined CESPE as Operational Manager. In this role, he coordinates the design, construction, and operation of the CESPE innovation accelerator, further develops the CESPE academy, and expands the project portfolio in collaboration with partnering companies and academics.