作者: Muhammad Abdur Rehman , Ismail Yusoff , Rasel Ahmmad , Yatimah Alias
DOI: 10.1007/S11270-015-2411-9
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摘要: We need specific and competent adsorbents to remove arsenic bring it down permissible levels in drinking water. Therefore, industrial byproducts are extensively applied produce large amounts of natural adsorbents. Similarly, managing optimum adsorption with palm oil clinker sand (POCS) is possible through a careful statistical planning variables. plan perform minimum number experiments (1) obtain (2) provide new application opportunity the waste managers future planners. observed that was dependent on pH system, initial concentration (mg L−1), amount (mg) POCS, temperature bio-adsorption system. A correlation among study variables constructed by three-dimensional (3D) response surfaces two-dimensional (2D) contour plots based central composite design (CCD) batch mode study. quadratic model fitted well experimental data better explained superiority current system efficient removal from water samples. confirmed selected were experimentally statistically significant controlled overall comparative thorough analysis process mutually interacting nonlinear fashion this Excellent results external studies prove relative importance present for remediation biotechnology.