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Scavenging of caffeine from aqueous medium through optimized H3PO4-activated Acacia mangium wood activated carbon: Statistical data of optimization

机译:通过优化的H3PO4活化的相思ca木活性炭从水性介质中清除咖啡因:优化的统计数据

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摘要

The optimization data presented here are part of the study planned to remove the caffeine from aqueous solution through the large surface area optimized H PO -activated wood activated carbon (OAMW-AC). The maximum adsorption capacity of the OAMW-AC for caffeine adsorption was achieved (30.3 mg/g) through optimized independent variables such as, OAMW-AC dosage (3.0 g/L), initial caffeine concentration (100 mg/L), contact time (60 min), and solution pH (7.7). The adsorption capacity of OAMW-AC was optimized with the help of rotatable central composite design of response surface methodology. Under the stated optimized conditions for maximum adsorption capacity, the removal efficiency was calculated to be 93%. The statistical significance of the data set was tested through the analysis of variance (ANOVA) study. Data confirmed the statistical model for caffeine adsorption was significant. The regression coefficient (R ) of curve fitting through the quadratic model was found to be 0.9832, and the adjusted regression coefficient was observed to be 0.9675.
机译:此处提供的优化数据是计划通过大表面积优化的H PO活化木材活性炭(OAMW-AC)从水溶液中去除咖啡因的研究的一部分。通过优化的独立变量,例如OAMW-AC剂量(3.0 g / L),初始咖啡因浓度(100 mg / L),接触时间,实现了OAMW-AC对咖啡因的最大吸附能力(30.3 mg / g)。 (60分钟),溶液的pH值为(7.7)。借助响应面方法的可旋转中心复合设计,优化了OAMW-AC的吸附能力。在规定的最大吸附容量优化条件下,去除效率经计算为93%。通过方差分析(ANOVA)研究测试了数据集的统计显着性。数据证实咖啡因吸附的统计模型很重要。通过二次模型拟合的曲线的回归系数(R)为0.9832,调整后的回归系数为0.9675。

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