Strain engineering and cultivation optimization of the yeast Yarrowia lipolytica for biotechnological processes

Abstract

Yarrowia lipolytica (Y. lipolytica) is an oleaginous and aerobic yeast, known for its ability to accumulate and store intracellular lipids, which can serve as potential feedstock for second-generation biodiesel production. Hitherto, strain and process engineering approaches have been employed to enhance lipid production and optimize the utilization of crude glycerol, a low-cost by-product of the biodiesel industry that is efficiently catabolized from the yeast. Despite substantial research on that topic, further improvements in white biotechnology are necessary to attain the desirable efficiency and sustainability. The aim of this thesis, is to contribute to a better understanding of the fermentation of Y. lipolytica in crude glycerol and its potential for SCO production. To achieve that, special emphasis is given on novel strain and process engineering techniques, to generate novel robust strains and optimize lipid extraction and fermentation processes, respectively. The review of the ...
show more

All items in National Archive of Phd theses are protected by copyright.

DOI
10.12681/eadd/56836
Handle URL
http://hdl.handle.net/10442/hedi/56836
ND
56836
Alternative title
Γενετική μηχανική και βελτιστοποίηση μεθόδων καλλιέργειας της ζύμης Yarrowia lipolytica για βιοτεχνολογικές διεργασίες
Author
Tsirigka, Asimina-Anastasia (Father's name: Georgios)
Date
2024
Degree Grantor
Aristotle University Of Thessaloniki (AUTH)
Committee members
Αγγελή Αμαλία
Γιάντσιος Στέργιος
Μακρής Αντώνιος
Ασημοπούλου Ανδρεάνα
Βαρελτζής Πάτροκλος
Βλαχονάσιος Κωνσταντίνος
Πλάκας Κωνσταντίνος
Discipline
Engineering and TechnologyChemical Engineering ➨ Process Chemistry and Technology
Engineering and TechnologyIndustrial Biotechnology ➨ Industrial Biotechnology
Keywords
Adaptive laboratory evolution in Yarrowia lipolytica; Lipid extraction; Fermentation in a membrane bioreactor; Modeling of fermentation process
Country
Greece
Language
English
Description
im., tbls., fig., ch.
Usage statistics
VIEWS
Concern the unique Ph.D. Thesis' views for the period 07/2018 - 07/2023.
Source: Google Analytics.
ONLINE READER
Concern the online reader's opening for the period 07/2018 - 07/2023.
Source: Google Analytics.
DOWNLOADS
Concern all downloads of this Ph.D. Thesis' digital file.
Source: National Archive of Ph.D. Theses.
USERS
Concern all registered users of National Archive of Ph.D. Theses who have interacted with this Ph.D. Thesis. Mostly, it concerns downloads.
Source: National Archive of Ph.D. Theses.