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

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

doi:10.1016/j.dib.2019.105045

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

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

Authors

Mohammed Danish¹, Janine Birnbach², Mohamad Nasir Mohamad Ibrahim³, Rokiah Hashim⁴

Affiliations

¹ 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.
² Department of Chemistry and Biotechnology, Chemistry Faculty, Hochschule Niederrhein University of Applied Sciences, Adlerstraße 28-32, 47798, Krefeld, Germany.
³ Industrial Chemistry Section, School of Chemical Sciences, Universiti Sains Malaysia, 11800 Minden, Pulau Pinang, Malaysia.
⁴ School of Industrial Technology, Universiti Sains Malaysia, 11800 Minden, Pulau Pinang, Malaysia.

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 H₃PO₄-activated Acacia mangium 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 (R²) of curve fitting through the quadratic model was found to be 0.9832, and the adjusted regression coefficient was observed to be 0.9675.

Keywords: Acacia mangium wood; Activated carbon; Caffeine; Optimization; Response surface methodology.