@article{scholars14361, publisher = {MDPI}, journal = {Molecules}, year = {2021}, title = {Adsorption of Zn2+ from synthetic wastewater using dried watermelon rind (D-WMR): An overview of nonlinear and linear regression and error analysis}, number = {20}, note = {cited By 12}, volume = {26}, doi = {10.3390/molecules26206176}, author = {Altowayti, W. A. H. and Othman, N. and Al-Gheethi, A. and Dzahir, N. H. B. M. and Asharuddin, S. M. and Alshalif, A. F. and Nasser, I. M. and Tajarudin, H. A. and Al-Towayti, F. A. H.}, issn = {14203049}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118849673&doi=10.3390\%2fmolecules26206176&partnerID=40&md5=066a3e03c619e75f3273e3f8a48a0e8a}, keywords = {zinc, adsorption; chemistry; Citrullus; isolation and purification; kinetics; pH; procedures; statistical model; thermodynamics; wastewater; water management, Adsorption; Citrullus; Hydrogen-Ion Concentration; Kinetics; Linear Models; Thermodynamics; Waste Water; Water Purification; Zinc}, abstract = {Sustainable wastewater treatment is one of the biggest issues of the 21st century. Metals such as Zn2+ have been released into the environment due to rapid industrial development. In this study, dried watermelon rind (D-WMR) is used as a low-cost adsorption material to assess natural adsorbents{\^a}?? ability to remove Zn2+ from synthetic wastewater. D-WMR was characterized using scanning electron microscope (SEM) and X-ray fluorescence (XRF). According to the results of the analysis, the D-WMR has two colours, white and black, and a significant concentration of mesoporous silica (83.70). Moreover, after three hours of contact time in a synthetic solution with 400 mg/L Zn2+ concentration at pH 8 and 30 to 40 {\^A}oC, the highest adsorption capacity of Zn2+ onto 1.5 g D-WMR adsorbent dose with 150 {\^A}um particle size was 25 mg/g. The experimental equilibrium data of Zn2+ onto D-WMR was utilized to compare nonlinear and linear isotherm and kinetics models for parameter determination. The best models for fitting equilibrium data were nonlinear Langmuir and pseudo-second models with lower error functions. Consequently, the potential use of D-WMR as a natural adsorbent for Zn2+ removal was highlighted, and error analysis indicated that nonlinear models best explain the adsorption data. {\^A}{\copyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.} }