Unravel the potential of zinc oxide nanoparticle-carbonized sawdust matrix for removal of lead (II) ions from aqueous solution
Separation Science and Engineering|Updated:2026-01-06
|
Unravel the potential of zinc oxide nanoparticle-carbonized sawdust matrix for removal of lead (II) ions from aqueous solution
Chinese Journal of Chemical EngineeringVol. 29, Issue 1, Pages: 92-102(2021)
Affiliations:
1. Department of Environmental Science, Cyprus International University, Nicosia, Mersin 10,Turkey
2. Environmental Research Centre, Cyprus International University, Nicosia, Mersin 10,Turkey
3. Department of Bioengineering, Cyprus International University, Nicosia, Mersin 10,Turkey
Author bio:
Funds:
DOI:
CLC:
Published:2021
Accepted:
Scan QR Code
Racheal Aigbe, Doga Kavaz. Unravel the potential of zinc oxide nanoparticle-carbonized sawdust matrix for removal of lead (II) ions from aqueous solution[J]. Chinese Journal of Chemical Engineering, 2021, 29(1): 92-102.
DOI:
Racheal Aigbe, Doga Kavaz. Unravel the potential of zinc oxide nanoparticle-carbonized sawdust matrix for removal of lead (II) ions from aqueous solution[J]. Chinese Journal of Chemical Engineering, 2021, 29(1): 92-102.DOI:
Unravel the potential of zinc oxide nanoparticle-carbonized sawdust matrix for removal of lead (II) ions from aqueous solution
Zinc oxide nanoparticles (ZnOnp) are molecular nanoparticles synthesized by a chemical precipitation method from zinc nitrate tetrahydrate and sodium hydroxide. Carbonized sawdust (CSD) was prepared from sawdust obtained from a local wood mill. The matrix of both provides a better material as an adsorbent. The present study applied the functionality of ZnOnp
CSD
and ZnOnp-CSD matrix as adsorbent materials for the removal of Pb (Ⅱ) ions from aqueous solution. The method of batch process was employed to investigate the potential of the adsorbents. The influence of pH
contact time
initial concentration of adsorbate
the dosage of adsorbents
and the temperature of adsorbate-adsorbent mixture on the adsorption capacity were revealed. The adsorption isotherm studies indicate that both Freundlich and Langmuir isotherms were suitable to express the experimental data obtained with theoretical maximum adsorption capacities (
q
m
) of 70.42
87.72
and 92.59 mg·g
-1
for the adsorption of Pb (Ⅱ) ions onto ZnOnp
CSD
and ZnOnp-CSD matrix
respectively. The separation factors (
R
L
) calculated showed that the use of the adsorbents
for the removal of Pb (Ⅱ) ions is a feasible process with
R
L
1. The thermodynamic parameters obtained revealed that the processes are endothermic
feasible
and spontaneous in nature at 25-50 ℃. Evaluation of the kinetic model elected that the processes agreed better with pseudo-second order where the values of rate constant (
k
2
) obtained for the adsorption of Pb (Ⅱ) ions onto ZnOnp
CSD
and ZnOnp-CSD matrix are 0.00149
0.00188
and 0.00315 g·mg
-1
·min
-1
respectively. The reusability potential examined for four cycles indicated that the adsorbents have better potential and economic value of reuse and the ZnOnp-CSD matrix indicates improved adsorbent material to remove Pb (Ⅱ) ions from aqueous solution.
关键词
Keywords
references
The trial reading is over, you can activate your VIP account to continue reading.
A heuristic design method for batch water-using networks of multiple contaminants with regeneration unit
Batch process monitoring based on WGNPE-GSVDD related and independent variables
Just-in-time learning based integrated MPC-ILC control for batch processes
Learning control of fermentation process with an improved DHP algorithm
Auxiliary error and probability density function based neuro-fuzzymodel and its application in batch processes
Related Author
Zhiyong Liu
Changzhan Liu
Aihong Li
Xiaoqiang Zhao
Yongyong Hui
Wendan Tan
Li Jia
Tianheng Song
Related Institution
School of Chemical Engineering, Hebei University of Technology
Department of Chemical Engineering, Chengde Petroleum College
3 National Experimental Teaching Center of Electrical and Control Engineering, Lanzhou University of Technology
2 Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou University of Technology
Shanghai Key Laboratory of Power Station Automation Technology, Department of Automation, College of Mechatronics Engineering and Automation, Shanghai University