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Biosorption of copper(II) onto spent biomass of Gelidiella acerosa (brown marine algae): optimization and kinetic studies
- Source :
- Applied Water Science, Vol 10, Iss 2, Pp 1-10 (2020)
- Publication Year :
- 2020
- Publisher :
- SpringerOpen, 2020.
-
Abstract
- This study exclusively focused on the potential application of an inexpensive and sustainable waste macro-algal biomass as an adsorbent for biosorption of copper ions from aqueous medium. After extraction of agar from brown macro-marine algaeGelidiella acerosa, the residual biomass without any further treatment was used as an adsorbent for the expulsion of copper from wastewater. Physicochemical parameters of biosorption like initial pH, initial concentration of Cu(II) solution and biosorbent dosage were optimized using response surface methodology. The maximum copper biosorption potential of 96.36% was observed at optimum conditions of pH of 5.31, initial concentration of 23.87 mg/l and biosorbent dosage of 0.41 g/l. Adopting FTIR and SEM techniques, the surface morphological features of biosorbent were studied. The pseudo-second-order kinetic model was found to be a proper approach to describe biosorption kinetics. All these results confirmed that spentG.acerosacould be considered as an efficient, eco-friendly and economic alternative for Cu(II) removal from aqueous solution.
- Subjects :
- Optimization
lcsh:TD201-500
Aqueous solution
Extraction (chemistry)
Biosorption
chemistry.chemical_element
Biomass
02 engineering and technology
010501 environmental sciences
021001 nanoscience & nanotechnology
01 natural sciences
Copper
Kinetics
Adsorption
lcsh:Water supply for domestic and industrial purposes
Wastewater
chemistry
Response surface methodology
0210 nano-technology
Gelidiella acerosa
0105 earth and related environmental sciences
Water Science and Technology
Nuclear chemistry
Subjects
Details
- Language :
- English
- ISSN :
- 21905495 and 21905487
- Volume :
- 10
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- Applied Water Science
- Accession number :
- edsair.doi.dedup.....0e0b65b72399ab2382bbb1f259d8c731