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Welcome at the home page of the MeBioS (Mechatronics, Biostatistics and Sensors) division of the Biosystems Department!

MeBios investigates the interaction between biological systems and physical processes. The emphasis is on the measurement of properties of biological products and process variables, the analysis of the measured signals by means of advanced statistical methods, process and equipment design, optimisation and control.  Mathematical models to describe the working principles of biological systems at different spatial and temporal scales is essential for this purpose.


Postharvest group

The MeBioS Postharvest group aims at applying advanced engineering techniques to improve the storage life and quality of fresh fruit and vegetables by means of appropriate storage technologies and supply chain management procedures. These activities are supported by a detailed knowledge of the physiological changes of fruit and vegetables after harvest. We rely on experiments that involve state-of-the-art omics-techniques and use advanced biostatistical and first principles based models to interpret the results.


Biophotonics group

The Biophotonics group investigates the physical properties of biological materials to develop new technologies for the agro-food chain. The fundamental research activities focus on measurement of the electromagnetic properties and exploitation of this information to develop novel sensor technologies. The applied research is focused on applying these as well as other properties in combination with advanced statistical techniques for quality assessment and optimization.



Biosensors group

The fundamental research activities of the MeBioS-Biosensor group focus on the development of novel bio-molecular detection concepts and miniaturized analysis systems. The applications span a broad range of sectors including medical and food diagnostics. The MeBioS-Biosensor group closely follows the emerging field of biosensing and is active in the following domains (i) Bio-assay development (e.g., aptamers, biofunctionalized nanomaterials), (ii) Optical sensors (e.g., fiber optic SPR sensors) (iii) Microfluidics (e.g., lab-on-a-chip technology).


Sustainability in the agri-food chain group

The MeBioS Sustainability in the agri-food chain group is developing models to score sustainability in the agri-food chain, combining indicators related with food quality and safety, and environmental indicators such as energy use and equivalent CO2 emissions. The apple agri-food chain is now being used as a case-study for developing dynamic LCA approaches underlying the scoring system. Further, dedicated quality models are under development for microbial spoilage in the postharvest food chain, and quantitative microbial risk assessment related with the agri-food chain safety is also within our expertise.


Particulate dynamics group

The particulate dynamics group is involved in the theoretical and experimental study of particulate systems. The activities of the group focus on fundamental research in single-cell and tissue dynamics and on industrial applications in granular mechanics and liquid-like flow. For this, the group uses as computational tools both the Discrete Element Method (DEM) and Smoothed Particle Hydrodynamics (SPH) synthesized in the python/C++ software DEMeter++.


Biostatistics group

The Biostatistics group of MeBioS develops and applies statistical methodology to design and analyze experiments and to perform statistical quality control in bio-science engineering. The goal of the research performed is (i) to step up experiments that are rich in information, and (ii) to turn any available data set, whether experimental or observational, into a maximum of information. The Biostatistics group also aims at applying operations research methodology within the field of bio-science engineering.