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通过优化的HPO活化马占相思木活性炭从水介质中清除咖啡因:优化的统计数据

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

作者信息

Danish Mohammed, Birnbach Janine, Mohamad Ibrahim Mohamad Nasir, Hashim Rokiah

机构信息

Green Chemistry & Sustainable Engineering Technology Research Cluster, Malaysian Institute of Chemical and Bioengineering Technology (MICET), Universiti Kuala Lumpur, Lot 1988, Kawasan Perindustrian Bandar Vendor, Taboh Nanning, 78000, Alor Gajah, Melaka, Malaysia.

Department of Chemistry and Biotechnology, Chemistry Faculty, Hochschule Niederrhein University of Applied Sciences, Adlerstraße 28-32, 47798, Krefeld, Germany.

出版信息

Data Brief. 2019 Dec 24;28:105045. doi: 10.1016/j.dib.2019.105045. eCollection 2020 Feb.

Abstract

The optimization data presented here are part of the study planned to remove the caffeine from aqueous solution through the large surface area optimized HPO-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.

摘要

此处呈现的优化数据是一项研究的一部分,该研究旨在通过大表面积优化的HPO活化木质活性炭(OAMW - AC)从水溶液中去除咖啡因。通过优化诸如OAMW - AC用量(3.0 g/L)、初始咖啡因浓度(100 mg/L)、接触时间(60分钟)和溶液pH值(7.7)等自变量,实现了OAMW - AC对咖啡因吸附的最大吸附容量(30.3 mg/g)。借助响应面法的旋转中心复合设计对OAMW - AC的吸附容量进行了优化。在规定的最大吸附容量优化条件下,计算得出去除效率为93%。通过方差分析(ANOVA)研究检验了数据集的统计显著性。数据证实咖啡因吸附的统计模型具有显著性。通过二次模型进行曲线拟合的回归系数(R)为0.9832,调整后的回归系数为0.9675。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d12/6948124/9bf3dcf05c5c/gr1.jpg

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