Publications
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Development, validation, and application of mechanistic models to predict population-level effects of chemical pollutant mixtures Ghent University
Comparison of feed tables, empirical models and near-infrared spectroscopy to predict chemical composition and net energy of pelleted pig feeds Research Institute for Agriculture, Fisheries and Food
The determination of the net energy (NE) of a pig feed requires expensive in vivo experiments. Alternatives are available whether the feed ingredient composition is known or unknown. We compared three estimation methods: feed tables, empirical models based on chemical parameters and in vitro digestibility and near-infrared spectroscopy (NIRS) calibrations based on feed and feces spectra. All methods were evaluated for their accuracy in ...
Parameter estimation for models of chemical reaction networks from experimental data of reaction rates Ghent University
For the purpose of precise mathematical modelling of chemical reaction networks, useful techniques for estimating their parameters from experimental data are necessary. In this manuscript, we propose a new parameter estimation method for enzymatic chemical reaction networks from time-series experimental data of reaction rates. The main idea is based on retrieving time-series data of the species' concentrations from the available experimental ...
Pollution fingerprints in eels as models for the chemical status of rivers Research Institute for Nature and Forest
The 2006 EU Water Framework Directive (WFD) proposed the monitoring of a selection of priority substances in the aquatic phase, including lipophilic substances. However, there are strong arguments for measuring lipophilic substances in biota. Yellow eel is a good candidate because it is widespread, sedentary, and accumulates many lipophilic substances in its muscle tissue. Several authors have described the indicative value of measured ...
Comparing the EKF with inverse black-box models in system identification of a chemical stirred tank KU Leuven
Antitumor activity of new chemical compounds in triple negative mammary adenocarcinoma models Vrije Universiteit Brussel
AIM: According to the need for the development of new anticancer agents, we have synthetized novel bioactive compounds and aimed to determine their antitumor action.
MATERIALS & METHODS: We describe in vitro studies evaluating the effect of 35 novel chemical compounds on two triple negative murine mammary adenocarcinoma tumors.
RESULTS & CONCLUSION: Three compounds were selected because of their high antitumor activity and ...