Browsing by Author "Yasid, Nur Adeela"

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    Isolation and Growth Characterization of an Acrylamide-degrading Bacillus sp. strain UPM2021n Isolated from the Juru River
    (Department of Biochemistry and Molecular Biology, Nasarawa State University Keffi, 2022-12-12) Muhammad, Abdullahi Ubana; Adamu, Faggo Abdullahi; Manogaran, Motharasan; Yasid, Nur Adeela; Shukor, Mohd Yunus
    Polyacrylamide, in which acrylamide is the primary component, degrades back into acrylamide over time. Major amounts of acrylamide can be found in soil. The bioremediation strategy of using microbes to break down acrylamide is gaining popularity in many parts of the world. Several acrylamide-degrading bacteria have been isolated from sediment from the Juru River’s bank. The best isolate was a bacterium identified tentatively as Bacillus sp. strain UPM2021n based on cultural, colony morphology and biochemical tests. According to early studies, ideal growth parameters included a pH range of 6.5 and 7.0 and a temperature range of 25 to 35 degrees Celsius. Both glucose and sucrose performed at a similar level in supporting the growth of this bacterium on acrylamide as the sole nitrogen source. The highest growth occurs in between 300 and 500 mg/L of acrylamide, resulting in a growth of nearly 7.7 log CFU/mL with a nett growth of about 4 Log CFU/mL as compared to the control. Growth was nearly tolerated at the highest concentrations tested, which was 1500 mg/L and growth completely ceased at higher concentrations Toxic heavy metals tested such as mercury, copper, chromium, and cadmium showed that mercury strongly hampered growth on acrylamide whilst other metal ions such as copper, lead, cadmium, and chromium showed from 30 to 60% inhibition. The relatively high tolerance of acrylamide makes this bacterium suitable for remediation of soil contaminated with acrylamide whilst its sensitivity to heavy metals chiefly mercury means metal-chelating or sequestering compounds must be added to soil contaminated with both acrylamide and heavy metals.
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    Isolation and Growth Characterization of an Acrylamide-degrading E. cloacae strain UPM2021a Isolated from a Paddy Field
    (Department of Biochemistry and Molecular Biology, Nasarawa State University Keffi, 2022-12-24) Muhammad, Abdullahi Ubana; Adamu, Faggo Abdullahi; Manogaran, Motharasan; Yasid, Nur Adeela; Shukor, Mohd Yunus
    Acrylamide is a suspected carcinogen and a global pollutant. The presence of acrylamide in the soil is a major source of this chemical. Microbe-mediated acrylamide breakdown as a bioremediation technique is gaining popularity across the world. Several bacteria capable of digesting acrylamide have been identified in paddy field soils. The best isolate was a bacterium identified tentatively as E. cloacae strain UPM2021a based on cultural, colony morphology and biochemical tests. According to early studies, ideal growth parameters included a pH range of 6.5 and 7.5 and a temperature range of 25 to 35 degrees Celsius. Acrylamide dosages of up to 2500 mg/L were explored as a single nitrogen supply. The greatest growth occurs between 300 and 1000 mg/L of acrylamide, resulting in an approximate nett growth of 3 log CFU/mL when compared to the control. Growth was practically tolerated at 1700 mg/L, and growth stopped entirely at concentrations above 2000 mg/L. Toxic heavy metals such as mercury, copper, chromium, and cadmium hampered acrylamide development with mercury being the strongest inhibitor whilst other metal ions such as copper, cadmium, and chromium show from 30 to 50% inhibition whilst lead was the least inhibiting. The relatively high tolerant of acrylamide makes this bacterium suitable for remediation of soil contaminated with acrylamide whilst its sensitivity to heavy metals chiefly mercury means metal-chelating or sequestering compounds must be added to soil contaminated with both acrylamide and heavy metals.
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    Isothermal Modelling of the Adsorption of Cadmium onto Activated Carbon from Tridax procumbens
    (Department of Biochemistry and Molecular Biology, Nasarawa State University Keffi, 2022-06-24) Muhammad, Abdullahi Ubana; Ya'u, Murtala; Basirun, Ain Aqilah; Sabullah, Mohd Khalizan; Yasid, Nur Adeela; Shukor, Mohd Yunus
    There is currently no feasible method of recycling Cd compounds, despite the fact that Cd production, consumption, and environmental release have all skyrocketed in recent decades. This raises serious concerns about the potential dangers of Cd compounds to human health. This highlights the pressing need for cadmium pollution cleanup. Biosorption is one of several viable technologies with several advantages, including low operating costs, very efficient detoxification of toxicants at low concentrations, and a low amount of disposal materials. The biosorption of cadmium onto activated carbon from Tridax procumbens is remodeled using nonlinear regression and the optimal mode was determined by a series of error function assessments. The Freundlich model performed best in statistical tests including root-mean-square error (RMSE), adjusted coefficient of determination (adjR2), bias factor (BF), accuracy factor (AF), and corrected Akaike Information Criterion (AICc). This is in contrast to the published work using a linearized form where the Langmuir model best represents the biosorption. The calculated Freundlich parameters kF value using nonlinear regression was 1.501 (1/g) (95% confidence interval from 1.223 to 1.778) and nF value of 4.943 (95% C.I. from 3.492 to 6.393). Confidence intervals for the uncertainty range can be calculated using nonlinear modeling and then used for model comparison and discriminant analysis.
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    Isothermal Modelling of the Adsorption of Lead (II) Onto Activated Carbon from Tridax procumbens
    (Department of Biochemistry and Molecular Biology, Nasarawa State University Keffi, 2022-05-25) Muhammad, Abdullahi Ubana; Ya'u, Murtala; Basirun, Ain Aqilah; Yasid, Nur Adeela; Shukor, Mohd Yunus
    Hypertension and kidney damage have been linked to lead exposure in adults. Any person can be harmed by lead, but pregnant women and their unborn children are especially vulnerable. Presently, lead pollution is removed using membrane separation, ion exchange, precipitation, and biosorption. Biosorption's low operating costs, high efficiency at detoxifying low concentrations of toxicants, and small volume of disposal materials make it the least problematic of these technologies. The biosorption of lead (II) onto activated carbon from Tridax procumbens is remodeled using nonlinear regression and the optimal mode was determined by a series of error function assessments. The Freundlich model performed best in statistical tests including root- mean-square error (RMSE), adjusted coefficient of determination (adjR2), bias factor (BF), accuracy factor (AF), and corrected Akaike Information Criterion (AICc) The calculated Freundlich parameters kF value using nonlinear regression was 1.334 (1/g) (95% confidence interval from 0.821 to 1.847) and nF value of 3.872 (95% C.I. from 1.972 to 5.771). Modelling using a nonlinear approach allows for the calculation of uncertainty range in terms of 95% confidence interval that would be useful for model comparison and discriminant in future studies
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    Isothermal Modelling of the Adsorption of Lead(II) Onto an Antarctic Sea-Ice Bacterial Exopolysaccharide
    (Department of Biochemistry and Molecular Biology, Nasarawa State University Keffi, 2022-07-21) Muhammad, Abdullahi Ubana; Ya'u, Murtala; Marbawi, Hartinie; Yasid, Nur Adeela; Shukor, Mohd Yunus
    The biosorption of the biosorption of lead(II) onto an Antarctic sea-ice bacterial exopolysaccharide is remodeled using nonlinear regression and the optimal mode was determined by a series of error function assessments. The Sips model performed best in statistical tests including root-mean-square error (RMSE), adjusted coefficient of determination (adjR2), bias factor (BF), accuracy factor (AF), and corrected Akaike Information Criterion (AICc) which is not the same to the originally published work using a linearized form where the Langmuir and Freundlich models best represent the biosorption and the maximum biosorption capacity. The calculated Sips parameters kS (l/g) value of 0.10 (95% confidence interval from 0.08 to 0.13), a maximum monolayer adsorption capacity qmS (mg/g) value of 252.88 (95% C.I. from 222.13 to 283.64) and nS (Sips model exponent) value of 1.16 (95% C.I. from 1.34 to 1.98). This study indicates that a different isotherm model can be obtained using nonlinear regression compared to the popular linearized form that may give relatively inaccurate outcome.