Browsing by Author "Ya'u, Murtala"

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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.