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Adsorption of Zn(2+) from Synthetic Wastewater Using Dried Watermelon Rind (D-WMR): An Overview of Nonlinear and Linear Regression and Error Analysis

Sustainable wastewater treatment is one of the biggest issues of the 21st century. Metals such as Zn(2+) 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...

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Detalles Bibliográficos
Autores principales: Altowayti, Wahid Ali Hamood, Othman, Norzila, Al-Gheethi, Adel, Dzahir, Nur Hasniza binti Mohd, Asharuddin, Syazwani Mohd, Alshalif, Abdullah Faisal, Nasser, Ibrahim Mohammed, Tajarudin, Husnul Azan, AL-Towayti, Faris Ali Hamood
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8539476/
https://www.ncbi.nlm.nih.gov/pubmed/34684757
http://dx.doi.org/10.3390/molecules26206176
Descripción
Sumario:Sustainable wastewater treatment is one of the biggest issues of the 21st century. Metals such as Zn(2+) 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’ ability to remove Zn(2+) 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 Zn(2+) concentration at pH 8 and 30 to 40 °C, the highest adsorption capacity of Zn(2+) onto 1.5 g D-WMR adsorbent dose with 150 μm particle size was 25 mg/g. The experimental equilibrium data of Zn(2+) 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 Zn(2+) removal was highlighted, and error analysis indicated that nonlinear models best explain the adsorption data.