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02. DSSC Electronic Theses and Dissertations

Permanent URI for this communityhttps://hdl.handle.net/20.500.14578/3

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Department: search.filters.department.Institute of Computing, Engineering and TechnologySDG: search.filters.sdg.SDG 9 - Industry, innovation and infrastructure

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    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.
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    Conductive effect of ferric chloride (FeCl3) on carbonized Chloris barbata Sw. stem via activation-carbonization-pyrolysis method
    Retiza, Debie T. (Davao del Sur State College, 2024-05)
    This study was conducted to determine the conductive effect of ferric chloride (FeCl3) on carbonized Chloris barbata sw. stem via the activation-carbonization-pyrolysis method. The study was accomplished utilizing a Completely Randomized Design, which comprised five (5) treatments and three (3) replications. The activated carbon produced was made using C. barbata stem and ferric chloride (FeCl3) at different molar concentrations. Control -no FeCl3(T1), 1 molar concentration (T5). The study was carried out to determine the electrical conductivity, surface characteristics in terms of pore and elemental composition, surface area, and the cost analysis of the activated carbon. The data were analyzed using One-Way ANOVA of variance at 1% and 5% significance levels, Scanning Electron Microscope (SEM), Energy Disperse X-ray Spectroscopy (EDX), Brunauer-Emmett-Teller (BET), and Fourier Infrared Spectroscopy (FTIR). The results revealed that the electrical conductivity of all treatments was shown to be statistically highly significant. According to the findings, T5 (4 M) registered the highest electrical conductivity at 2677.06 x 10-6 μS/m. It was also found to display micropore structure and various organic and inorganic functionalities, register relatively low surface area, and more acceptable production cost per unit mass.
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    Adsorption of methylene blue by magnetized achiote (Bixa orellana) pericarp ash: Effect of pH and kinetics
    Arellano, Jeramay, M. (Davao del Sur State College, 2024-06)
    Wastewater management has long been a significant issue for society. In the Philippines, achiote pericarp is often considered an agricultural waste. It is typically left in open fields or burned in the open air near the trees where they are harvested. This study explores the potential use of this waste material (achiote pericarp ash, APA) in removing dye from liquid solutions. To improve the adsorption capacity of APA, it is necessary to incorporate Fe3O4 into it. This will enhance its ability to effectively adsorb Methylene blue solution. To address this, APA had been impregnated with Fe3O4 nanoparticles to produce magnetized APA (MAPA). The APA used in this study was sourced from the farmlands of J. P. Laurel Malungon, Sarangani, Philippines. An adsorption experiment was thoroughly conducted, investigating the effects of pH and kinetic changes. The MB adsorption process was found to fit with a pseudo-quadratic model, with maximum adsorption observed at pH 10. The identification of functional groups presents before and after magnetization was conducted using Fourier transform infrared spectroscopy (FTIR). Among theme were -OH (intramolecular H-bond), O=OH (phosphorus oxoacid), -CO-CH3 (ketone), -OH (primary alcohol), and -SiCl3 (silicon compounds). These findings encourage farmers to reuse agricultural waste as a valuable product. Future related research could investigate the use of a different dye color or another type of biomass. Ultimately, this investigation provides significant knowledge about the potential role of agricultural by-products for wastewater treatment processes.
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    Automated misting and android-based monitoring system for oyster mushroom (Pleurotus SP.) production
    Cabrera, Cedie Vince E. (Davao del Sur State College, 2024-06)
    This study was conducted to maintain optimal temperature and humidity, which is crucial for oyster mushroom growth; otherwise, it could impede mushroom development. An automated misting and Android-based monitoring system was developed to address this challenge. Other studies have used an automated mister; however, system monitoring is unavailable. Davao del Sur State College mushroom facility relies entirely on environmental temperature and humidity. The findings are as follows: A DHT11 sensor was used to read the temperature and humidity within a 5cm range from the sensor, spray mist when the DHT11 sensor detects a temperature of 28 degrees celsius and 72% relative humidity, HC04 Ultra-Sonic Sensor is used for water refill automation when the water reaches 7cm away from it, display humidity, temperature, and water level at 5 second intervals, and generate a graph based on average temperature, humidity, and water level calculated per month. The result of the study contributes to the agricultural aspects, specifically in mushroom farming, hence decreasing the farmer's workload and increasing the harvest yield, farming automation, and academic research. The research outcome is a foundation for new studies leading to a better understanding of farming with a more enhanced system for a better farming yield.