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Nutritional and sensory attributes of banana coffee produced from cavendish banana (Musa cavendishii) flesh at different maturity stage
Itang, Kris Caresza Kate C. (Davao del Sur State College, 2024-06)
This study was conducted to utilized and process rejected cavendish banana fruits into coffee. Sensory evaluation (Aroma, Texture, Color, and General Acceptability), Nutritional Analysis (Protein, Fat, Fiber, Ash, and carbohydrates), and Microbial Analysis in terms of bacterial and fungi count were performed to assess the quality and characteristics of the banana coffee and were analyzed using T-test. In the overall rating, T2 got higher mean rating percentage of Aroma (3.26%), Texture (4.2%), Color (4.106%), and the General Acceptability parameter with 3.36%. For proximate analysis, T1 got higher content percentage in terms of protein (3.742%), Fiber (2.21%), and Ash (5.5%), and T2 for carbohydrates (86.8%) and Fat (5.6%). In microbial analysis, both treatments got equal bacterial count (total plate count) of <1.1 cfu/g however, T2 contained less yeast and molds count (fungi count) of 4.7 x 10 (2) cfu/g present in the composite sample. Based on the T-test result, only aroma difference was not statistically significant while texture, color, and general acceptability showed significant difference. Hence, this study still needs more modification in order to enhance the quality of processing cavendish banana into coffee.
Yield and quality analysis of bioethanol produced from waste coconut water (Cocos nucifera L.) and sugarcane molasses under different fermentation conditions
Rom, Ferly Jane N. (Davao del Sur State College, 2024-05)
Bioethanol production involves materials containing sugar to be converted into alcohol. It is a process that requires fermentation, where active organisms are utilized to break down sugar and turns them into alcohol. The purpose of this study was to determine the ideal conditions in the fermentation of waste coconut water and sugarcane molasses with initial pH level between 4.0 - 5.0 for six days in order to produce good quality of bioethanol. the experimental samples were laid in complete randomized design (CRD) with three treatments, namely; T 1 (Aerobic), T2 (Anaerobic) and T3 (Aerobic-anaerobic) and each was replicated four times. The parameters assessed were pH level after fermentation, alcohol content (%), ethanol content (%) of the bioethanol. The gathered data was analyzed using One-way ANOVA and LSD at 5% level of significance. Based on the results, T3 obtained the highest mean pH level of 3.15 after fermentation and alcohol content of 1.6%, followed by T2 with a mean pH level of 3.0 and an alcohol content of 1.1%. T1 obtained the lowest mean pH level of 2.92 after fermentation and an alcohol content of 0.4%. The results revealed further that T3 produced highest percentage of ethanol content of 24.4% and yielding 2.8% bioethanol, followed by T2 obtaining 16.4% ethanol content and yielding 1.8% bioethanol. Lastly, T1 got the lowest ethanol content of 3.01% and yielding 1% bioethanol among the tree treatments. The ANOVA results revealed that there's a high significant difference in terms on the pH level after fermentation and alcohol content (%) among the means of the three treatments. Generally, based on the results, the researcher concludes that, T3 (Aerobic-anaerobic) is the most effective condition in the fermentation process of waste coconut water (Cocos nucifera L.) and sugarcane molasses utilizing Saccharomyces cerevisiae for bioethanol production.