African oil bean seed slices (Pentaclethra macrophylla Benth) were prepared by twotraditional methods, packaged in sterilized plastic containers and fermented at twodifferent temperatures (ambient (28 ± 2 oC) and 37.5 oC temperature) for 96 hours toproduce Ugba (a Nigerian indigenous protein rich food). Proximate analysis (moisture,ash, protein, fat, carbohydrate and fibre content), physicochemical analysis (peroxide,saponification, iodine, pH value), protein solubility and microbial analysis were carried
out.
These Analyses were carried out at 24 hours interval for 96 hours. The result showedan increase in protein, fat, crude fibre and ash contents of the samples after 96 hours offermentation with an increase in pH value and a decrease in carbohydrate content for allsamples after 96 hours fermentation. The peroxide values, iodine values, andsaponification values of the oils decreased while the protein solubility content increasedwith fermentation time. The result of the total viable counts were 2.74×1017 Cfu/g,2.34×1017 Cfu/g, 2.18×1017 Cfu/g, 2.9×1017 Cfu/g, for sample A1 (boiled twice andfermented at 28 ± 2 oC ambient temperature), A2 (boiled twice and fermented at 37.5 oC),B1 (boiled once and fermented at 28 ± 2 oC ambient temperature), B2 (boiled once andfermented at 37.5 oC), respectively after 96 hours fermentation. No mould growth wasfound in the unfermented and fermented Ugba slices for all the products. At the end 96hours fermentation, sensory evaluation showed that samples B1 and B2 were the leastaccepted in terms of aroma, taste and overall acceptability while, while in terms oftexture, taste and overall acceptability sample A1 (control sample) and A2 were most
📚 Over 50,000 Research Thesis
📱 100% Offline: No internet needed
📝 Over 98 Departments
🔍 Thesis-to-Journal Publication
🎓 Undergraduate/Postgraduate Thesis
📥 Instant Whatsapp/Email Delivery
The project titled "Utilizing Internet of Things (IoT) Technology for Precision Agriculture in Forestry Management" aims to explore the application of...
The project titled "Implementation of Precision Agriculture Techniques for Enhanced Crop Yield and Resource Management in Forestry Plantations" aims t...
The project titled "Automation of Crop Monitoring and Management Using IoT Technology in Agriculture" aims to revolutionize the agricultural sector by...
The project titled "Utilizing Artificial Intelligence for Precision Agriculture in Forestry Management" aims to explore the integration of cutting-edg...
The research project titled "Utilizing Internet of Things (IoT) technology for precision agriculture in optimizing crop production and resource management&...
The project titled "Utilizing Machine Learning for Predicting Crop Yields and Pest Outbreaks in Agricultural Fields" aims to leverage advanced machine...
The project titled "Utilizing Machine Learning Algorithms for Improved Crop Yield Prediction in Agricultural Farms" aims to leverage advanced machine ...
The project titled "Utilizing Artificial Intelligence for Precision Agriculture in Forestry Management" aims to explore the integration of artificial ...
The project titled "Implementation of Precision Agriculture Techniques for Improved Crop Yield and Resource Management in Forestry Plantations" aims t...