Graduate Program in Biotechnology
The Graduate Program in Biotechnology (PPG-Biotech) at the State University of Londrina (UEL) is a CAPES Grade 6 program, attesting to the excellence of the qualification of the professionals graduated from the PPG-Biotech. Faculty members of the PPG-Biotech come from different departments of UEL and also from Embrapa-Soy. They work in partnership with the productive sector and other national and international educational institutions and research facilities. The program’s alumni are qualified to work with multidisciplinary teams in private and public educational institutions and research facilities, industries, and companies. They are prepared to face current demands and develop solutions based on biotechnological tools.
Research Areas
The PPG-Biotech is structured upon and concentrated on only one area of research: Agro-industrial Biotechnology. It follows the demands of the metropolitan region of Londrina as well as those of the state of Paraná and Brazil. The research focused on Agroindustrial Biotechnology seeks to develop methods, techniques, processes, and biotechnological products that may enrich agricultural raw materials; explore microbial biodiversity and its biological functions; promote sustainable development; develop clean and non-polluting technologies.
Research Themes
Biomolecules and biopolymers of industrial interest: research in this theme includes the production, extraction, purification, characterisation, and application of biomolecules and biopolymers.
Biochemistry of microorganisms: research carried out in this theme includes the work in the development and application of methods for the production and characterisation of enzymes, primary and secondary metabolites, and in the monitoring and control of toxins and xenobiotics.
Biotechnology of microorganisms and plants: research in this theme includes the identification of biotechnological uses of microorganisms and plants, the development of methods and processes that enable its application as a biotechnological input, and the detection of pathogens and toxins in different matrices.