Käesolevas projekti 1. strateegilises arendussuunas uuritakse toidu tervislikkuse, kvaliteedi ja stabiilsuse tagamise võimalusi lähtudes toidu koostisest ja sellega toiduvõrgustikus toimuvatest muutustest. Uurimistöösse kaastakse prioriteetsed teadusharud nagu materjaliteaduse ning info- ja biotehnoloogia, mis loovad aluse teaduspõhiseks toidudisainiks ja -tehnoloogiaks.
Projekti 2. strateegilises arendussuunas - fermentatsioonitehnoloogiate arendamises ja rakendustes lähtutakse süsteemibioloogia kiire arengust, mille tulemusena on tekkimas rakkude ainevahetuse uurimis- ja modelleerimismeetodid, mis võimaldavad bioloogilistes organismides asetleidvate reaktsioonide mustreid keerulistes võrgustikes visualiseerida, modelleerida ja disainida.
The aim of the First Strategic Development Orientation in the current project ist o develope and apply modern methods based on physics, chemistry and systems biology in food process design to improve the quality, functionality and storage properties of the food products, for the optimization of food supply chains taking into account also peculiarities of nutrition in human “superorganism”. To create and maintain a modern laboratory infrastructure and highly competent R&D team for supporting high level applied research and protectable by intellectual property rights product development in partner enterprises. Employing the results of fundamental research and know-how accumulated in CCFFT to introduce to the market the food products with significantly improved functionality and shelf life. To support the R&D in food industry.
The aim of the Second Strategic Development Orientation ist o develope new high throughput cultivation methods for quantitative analysis of cell physiology and ab initio cell design based on quasi steady state growth space concept using novel single cell models. Development of highly parallel multifermenter cultivation procedures using „mother-daughter“ schemes and adaptive algorithms for the studies of the growth space in quasi steady state condition. Introduction of omics methods for the study and modeling of quantitative cell physiology. Development of automated (robotized) cultivation laboratory and fully integrated software environment.