Microbiology

Permanent URI for this collectionhttps://dspace.summituniversity.edu.ng/handle/123456789/24

Final Year Project in Microbiology

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    ISOLATION, SCREENING AND PRODUCTION OF MICROBIAL OIL YIELD FROM OLEAGINOUS MICROORGANISMS
    (2023) AWOSANYA, LAMIN MEDINAH
    This study intends to isolate oleaginous microorganisms (fungi) from oil-rich soil and optimize bioprocesses to increase microbial oil yield. First, prospective oleaginous fungi in oil-rich soil must be isolated. The objective is to identify lipid-producing bacteria that can develop quickly in their natural environment. A screening procedure is used to determine which fungi produce the greatest lipids after they have been isolated. Usually, to achieve this, isolated fungi are cultured in environments that encourage lipid buildup. There are numerous screening methods that can be used. The ideal Oleaginous fungi (Aspergillus niger)growing conditions must be achieved in order to maximize lipid synthesis. These microbes grow and accumulate lipids in response to factors like temperature, pH, nutrient concentrations, and the availability of carbon sources. The process of removing the lipids from the cells comes next when the fungi have gathered enough lipids. It is possible to refine the recovered lipids further to produce pure oils suitable for use in biofuels or other high-value goods. The results made it clear that low-cost carbon sources must be used to grow these microorganisms and that the bioprocess's performance needs to be improved in terms of both yield and productivity. Oleaginous fungi can accumulate more lipids than 20% of their dry biomass. A variety of species of yeasts and filamentous fungi are categorized as oleaginous because they have the capacity to synthesize and store considerable amounts of TAG within their cells—up to 70% of the biomass weight. Single cell oil (SCO) production methods using heterotrophic oleaginous microorganisms have received a lot of attention recently. Due to their outstanding efficiency at accumulating intracellular TAG, oleaginous fungi, particularly yeasts, are projected to be utilized by the biofuel industry. The absence of readily available , reasonably priced feed stocks is the main issue facing the biodiesel industry. A successful method to boost microbial lipid productivity and lower the cost of microbial biofuel production is to regulate environmental conditions and optimize environmental parameters to improve the synthesis of microbial lipid.
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    STATISTICAL MODELLING ON OPTIMIZATION OF KERATINASE PRODUCTION BY AN AUTOCHTHONOUS BACTERIAL ISOLATES: A RESPONSE SURFACE METHODOLOGY APPROACH
    (2023) ABDULAHI, ZAINAB ADURAGBEMI
    This study focuses on the optimization of keratinase production using Response Surface Methodology (RSM). Keratinase is an enzyme that degrades keratin, a fibrous protein present in various natural sources, and has great industrial importance. The objective of this research is to maximize the yield of keratinase production. The production process was optimized employing a central composite design (CCD) encompassing four distinct independent variables: pH, temperature, inoculum volume and agitation speed. The levels of these variables were selected based on preliminary experiments. The response variable, keratinase yield, was quantified in terms of Units per milliliter (U/ml). The experimental design was conducted according to the CCD, subsequently, the data collected were fitted to a quadratic model. The model was then analyzed using analysis of variance (ANOVA) to evaluate the significance of the model terms. The optimized conditions for keratinase production were determined using response surface plots and desirability function. The findings indicated that the optimal conditions for maximum keratinase yield (12.24 U/ml) were pH of 6, temperature of 34.3°C, inoculum volume of 2ml and agitation speed of 250nm. In these specified conditions, the predicted keratinase yield aligned well with the experimental value, indicating the reliability of the model. In conclusion, this study successfully optimized the production of keratinase using RSM. The findings of this research contribute to the development of efficient and cost-effective processes for keratinase production, which can be utilized in various industrial applications.