PEC12-25 CAPEC-PROCESS Industrial Consortium ... - DTU Orbit
PEC12-25 CAPEC-PROCESS Industrial Consortium ... - DTU Orbit
PEC12-25 CAPEC-PROCESS Industrial Consortium ... - DTU Orbit
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Albert Emili Cervera Padrell<br />
(ACP)<br />
<strong>PROCESS</strong><br />
Supervisors: KVG<br />
Chiara Piccolo (ChP)<br />
<strong>CAPEC</strong><br />
Supervisors: RaG, P Piccione<br />
(Syngenta)<br />
Start: 01-04-2010; End: 31-03-2012<br />
Sascha Sansonetti (SSA)<br />
Heterogeneous microbial populations: modeling<br />
distributions of protein production rate and plasmid copy<br />
numbers in E. coli<br />
Often the production of heterologous proteins in bacterial<br />
hosts relies on the expression of multi-copy plasmids. The<br />
productivity is, in these cases, closely correlated to plasmid<br />
stability. Although a selective marker (e.g. antibiotic) is<br />
typically present allowing for the selection of plasmidbearing<br />
cells, the distributions of plasmid copy numbers<br />
within the population vary. This reflects a trade-off between<br />
the protein production and the growth rate.<br />
This project aims at exploring modeling techniques to further<br />
understand the dynamics of cellular distributed properties<br />
under different growth conditions. The production of green<br />
fluorescence protein (GFP) in E. coli is used as case study.<br />
Starting from an unstructured kinetic model describing the<br />
growth of E. coli, and increasing the model complexity, steps<br />
will be taken towards the development of a population<br />
balance model (PBM). This PBM should describe the<br />
distribution of protein (and production rates) for cells<br />
presenting different plasmid copy numbers, under varying<br />
substrate availability. Tools such as parameter estimation<br />
routines, numerical solvers for ordinary differential<br />
equations, and discretization techniques for partial<br />
differential equations will be explored in the formulation,<br />
implementation and solution of the mentioned models.<br />
Prediction of phase equilibria involving phase transfer<br />
catalysis<br />
Phase transfer catalysis (PTC) has the potential to stand out<br />
as an attractive alternative to conventional processes for the<br />
synthesize of special organic chemicals, from two immiscible<br />
reactants, that normally will not contact each other: in PTC<br />
systems a phase transfer catalyst acts as a shuttle between a<br />
polar phase that contains the salt reactants and a non-polar<br />
phase that contains the organic reactants. Many factors affect<br />
PTC processes, for example, choice of the organic phase,<br />
choice of the catalyst, presence of extra ionic species,<br />
temperature, stirring rate. The aim of this project is to enable<br />
semi-quantitative and quantitative estimations of phase<br />
equilibria involving PTC and, ultimately, to develop a<br />
systematic methodology to select the best system features and<br />
operating conditions for a given synthesis<br />
Research area: A; B; C<br />
The rational selection of lipids for pharmaceutical<br />
formulation<br />
Lipidic dose forms are applicable to both the early and late<br />
stages of product development in the pharmaceutical<br />
industry. They are most frequently used to formulate Active<br />
Pharmaceutical Ingredients (API’s) with inherently poor<br />
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