Influence of municipal food waste composition on lipid production of Cutaneotrichosporon oleaginosus
Author
Yashou, Dalia Basil Farooq Abed
Term
4. term
Education
Publication year
2022
Abstract
Around 1.3 billion tonnes of food are wasted annually, leading to resource loss and increased CO2 emissions. As part of the Flexi Green Fuels project, this thesis examines how the composition of municipal food waste influences lipid accumulation in the oleaginous yeast Cutaneotrichosporon oleaginosus to support the production of sustainable fuels for aviation and shipping. Food waste was collected monthly over five months (November–March) from the Ragn-Sells treatment facility and characterized for heavy metals, elemental carbon, hydrogen, nitrogen and sulfur, as well as total carbohydrates and lipid content. Chemometric methods, including principal component analysis (PCA) and partial least squares (PLS) regression, were used to explore the dataset and relate yeast lipid accumulation to waste composition. Strong correlations (>0.5) were observed between yeast lipid amounts and aluminum, mannose and ash contents in the waste. These findings indicate that specific waste components can promote lipid production in C. oleaginosus and help optimize the conversion of municipal food waste into lipids for biofuel.
Omkring 1,3 milliarder ton mad går til spilde årligt, hvilket både spilder ressourcer og øger CO2-udledninger. Som en del af Flexi Green Fuels-projektet undersøger dette speciale, hvordan sammensætningen af kommunalt madaffald påvirker lipidakkumulering i den olieproducerende gær Cutaneotrichosporon oleaginosus med henblik på at understøtte fremstilling af bæredygtige fly- og skibsbrændstoffer. Madaffald blev indsamlet fra behandlingsanlægget Ragn-Sells én gang om måneden i fem måneder (november–marts) og karakteriseret for tungmetaller, elementært indhold af kulstof, hydrogen, nitrogen og svovl samt totale kulhydrater og lipidindhold. Kemometriske metoder, herunder principal komponentanalyse (PCA) og partial least squares (PLS) regression, blev anvendt til at udforske datasættet og forbinde gærens lipidakkumulering med affaldets indhold. Der blev fundet stærke korrelationer (over 0,5) mellem mængden af lipider i gæren og indholdet af aluminium, mannose og aske i madaffaldet. Resultaterne peger på, at specifikke komponenter i affaldet kan fremme lipidproduktion i C. oleaginosus og dermed optimere udnyttelsen af kommunalt madaffald til produktion af lipider til biofuel.
[This apstract has been generated with the help of AI directly from the project full text]
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