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ASSESSING COCONUT OIL PROPERTIES AS A POTENTIAL REPLACEMENT OF THE TRANSFORMER OIL Usman, Isa Umaru; Kafle, Saroj Raj; Abubakar, Abdulhalim Musa; Shamsuddin, Rashid; Khursheed, Aadil; Itamah, Ehime Irene; Abbagoni Abubakar, Muhammad
SPIN JURNAL KIMIA & PENDIDIKAN KIMIA Vol. 5 No. 2 (2023): Juli - Desember 2023
Publisher : UIN Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20414/spin.v5i2.7743

Abstract

Production and Utilization of Insulin from Stevia Leave (Rebaudiana Bertoni) for the Treatment of Diabetes Mellitus Abubakar, Muhammad Abbagoni; Gutti, Babagana; Abubakar, Abdulhalim Musa; Ali, Amina Mohamed; Sabo, Muhammad Jamil Umar
International Journal of Multidisciplinary Approach Research and Science Том 1 № 02 (2023): International Journal of Multidisciplinary Approach Research and Science
Publisher : PT. Riset Press International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59653/ijmars.v1i02.63

Abstract

Stevia (Rebaudiana bertoni) leave, is an ancient perennial shrub mostly found in South America in countries like Paraguay and Brazil. It contains a low-calorie sweetener, which is about 300 times sweeter than sucrose. Diabetes mellitus is among the common metabolic disorders affecting about 2.8% of the world’s population and is reported to reach 5.4% by the year 2025. In this work, insulin was successfully extracted from Rebaudiana bertoni to serve as an alternative to bovine insulin extracted from animals which is devoid of the risk of transferring infectious diseases from the animals to the diabetic patient as is the case with convectional animal-based insulin. Gas Chromatography-Mass Spectroscopy (GC-MS) and Fourier Transform InfraRed (FTIR) analysis were used to analyze and determine the functional groups available in the isolated compound and the results shows that it has retention time of 14.11 min; abundance/peak area (% PA) of 86.613 %; mass number (m/z) of 413 g/mol; molecular peak ion of 149; fragmentation patterns of 7; and C20H29BrO4 as molecular formula and phthalic acid, 8-bromoctyl butyl ester as IUPAC name. The insulin was tested on three groups of rats (Rattus norvegicus) whereby the glucose level was monitored, and the result shows that the extracted insulin was found to be effective in addition to having antidiabetic effect.
Optimization of Insulin Yield from Extract of Stevia Leave (Rebaudiana Bertoni) Abubakar, Muhammad Abbagoni; Abubakar, Abdulhalim Musa; Abubakar, Musa Askira; Dahiru, Dahiru Muhammad
International Journal of Multidisciplinary Approach Research and Science Том 1 № 03 (2023): International Journal of Multidisciplinary Approach Research and Science
Publisher : PT. Riset Press International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59653/ijmars.v1i03.86

Abstract

Stevia (Rebaudiana bertoni) leave, is an ancient perennial shrub mostly found in South America such as Paraguay and Brazil, it contains a low-calorie sweetener, which is about 300 times sweeter than sucrose. Insulin is a polypeptide hormone, which has an anabolic property, insulin has a vital role in regulation of carbohydrate metabolism, it also enhances the metabolism of fat and proteins and regulation of certain gene expression. Design expert software 10.0 was used to design the experimental data for the optimization of insulin yield in stevia (Rebaudiana bertoni) leave. Custom design with 3 factor and one response was applied, the independent variables were amount of stevia powder (g), volume of n-hexane (ml) and volume of ethyl acetate (ml) and the response is percentage of insulin yield (%). In this research work, insulin was successfully extracted from stevia (Rebaudiana bertoni) leave and the optimum yield was determined. The optimum extraction conditions for optimum yield of insulin were found to be: 5.668 g of stevia powder, 49.107 ml of n-hexane and 32.386 ml of ethyl acetate.
Lignite Coal Co-combustion Performance with Banana Tree Waste, Tree Leaves and Cow Dung Manure Blends for Emission Reduction During Power Generation Siddique, Mohammad; Abubakar, Abdulhalim Musa; Soomro, Suhail Ahmed; Memon, Hafeez-ur-Rehman; Zakarya, Irnis Azura; Sylvain, Tome
Journal of Mechanical Engineering, Science, and Innovation Vol 4, No 1 (2024): (April)
Publisher : Mechanical Engineering Department - Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jmesi.2024.v4i1.5346

Abstract

Biomass blends with lignite coal (LC) normally have better co-combustion property, which in turn improves electricity output and reduces emissions. Given that global warming caused by emissions of CO, NOx, SO2, CO2 and NO from manufacturing industries and power plants is growing, this study seeks to find environmentally friendly alternative fuel to be employed. Here, suitable particle size of LC was combined with tree leaves (TL), cow dung manure (CDM) and banana tree waste (BTW) in the ratio of 90:10, 80:20, 70:30 and 60:40 each to form 16 samples (4 single and 12 blends). Thermal and combustion characteristics studies conducted during their combustion in an electric muffle furnace at 700  helped declare all blends as favorable with higher heating values ranging from 521179-892952 Btu/lb to be used as fuel in coal-powered plants. For moderately low emissions of flue gases, better thermal combustion property, high heating value (i.e., 892952 Btu/lb) and the highest electricity output, LC90 + CDM10 is the best blend discovered by this study. However, LC utilization still defeats the best performing blend in terms of lower emission with LC80 + TL20 having tolerably closer emission level compared to LC and a good substitute if emission must be kept as same level. Due to this shortcoming, further ratio adjustment or optimization and catalyst/additive addition is recommended to bring the emissions to environmentally friendly levels. It is also paramount to analyze the samples for chlorine concentrations to keep at desired composition in order not to risk a high temperature chlorine corrosion during co-combustion.
Excel Solver Aided Biogas Kinetics Computation for Varied Ratio Co-digestion of Cassava Peels with Chicken Manure Luka, Yusufu; Saddiq, Hassan Ahmed; ABUBAKAR, Abdulhalim Musa; Naandeti, Nathan Akucha
Vokasi Unesa Bulletin of Engineering, Technology and Applied Science Vol. 2 No. 3 (2025)
Publisher : Universitas Negeri Surabaya or The State University of Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/vubeta.v2i3.38630

Abstract

The co-digestion of cassava peels (CP) and chicken manure (CM) offers a sustainable approach to biogas production, but optimizing process conditions and kinetic modeling remains crucial for efficiency. This study employed Excel Solver to estimate kinetic parameters in the modified Gompertz and Cone models for three different CP:CM ratios (1:1, 1:3, and 3:1) under mesophilic conditions (ambient temperature) and a retention time of 40 days. Anaerobic digestion (AD) was conducted in 4 L batch digesters with a 2 L working volume. Results showed that the 1:3 CP:CM ratio produced the highest cumulative biogas yield (0.25 m³) from experiment, outperforming the other ratios (1:1 = 0.2384 m3 & 3:1 = 0.1576 m3). At the optimal ratio, the modified-Gompertz model exhibited a superior fit (R² = 0.9684) compared to the Cone model (R² = 0.7586), with lower SSE values (2.157 vs. 16.503, respectively), confirming its reliability in capturing microbial adaptation and substrate degradation dynamics. The estimated parameters—biogas production potential (BP = 0.2076 m³), maximum production rate (k = 0.0226 m³/day), and lag phase (λ = 3.4 days)—highlighted the significance of nitrogen balance in optimizing biogas yield. The kinetic study is essential for predicting biogas production trends, optimizing digester performance, and designing efficient biogas systems, while Excel Solver provided is a user-friendly tool for nonlinear regression, eliminating the need for specialized statistical software. This study reinforces the potential of kinetic modeling and computational optimization in enhancing AD processes, paving the way for improved waste-to-energy conversion.
Baobab Leaf Powder Efficacy as Turbid Water Treatment Biocoagulant Gram, Vahyela; Kasinath, Archana; Abubakar, Abdulhalim Musa; Pandit, Gaurav Kumar; Ngulde, Aliyu Buba; Saka, Tahiru; Mustapha, Zanna
Indonesian Journal of Innovation and Applied Sciences (IJIAS) Vol. 4 No. 1 (2024): February-May
Publisher : CV. Literasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47540/ijias.v4i1.1367

Abstract

The high cost of treated water makes most rural communities resort to readily available sources that are normally of low quality, which exposes them to waterborne diseases in the process. In the present study, various doses of baobab (Adansonia digitata) leaf powder coagulant (i.e., 0.1, 0.2, and 0.3g per 50 mL turbid water) were added to the surface water sample collected. It was found that increasing the coagulant doses results in either a decrease or increase in the measured parameters, such as pH, turbidity, and electrical conductivity (EC). At constant 30 min coagulation time, pH and EC of the turbid water samples taken were within WHO standards. However, the labeled sample fed with 0.3g of baobab leaf powder coagulant gave the lowest turbidity of 78.7 NTU. A reduction in final turbidity is a clear indication of the coagulation capabilities of baobab leave powder. With this study, baobab leave (as a potential coagulant) is a new addition to the literature, apart from its seed and pulp which have been experimented with previously. Natural coagulants contain some chemicals whose effect on the resulting treated water needs to be examined. If need be, an additional treatment unit must be set up to adsorb or remove those contaminants from the water before proper use.