Simultaneously removal of inorganic arsenic species from stored rainwater in arsenic endemic area by leaves of Tecomella undulata: a multivariate study
- 20 April 2016
- journal article
- research article
- Published by Springer Nature in Environmental Science and Pollution Research
- Vol. 23 (15) , 15149-15163
Abstract
In the present study, an indigenous biosorbent (leaves of Tecomella undulata) was used for the simultaneous removal of inorganic arsenic species (AsIII and AsV) from the stored rainwater in Tharparkar, Pakistan. The Plackett–Burman experimental design was used as a multivariate strategy for the evaluation of the effects of six factors/variables on the biosorption of inorganic arsenic species, simultaneously. Central composite design (CCD) was used to found the optimum values of significant factors for the removal of AsIII and AsV. Initial concentrations of both inorganic As species, pH, biosorbent dose, and contact time were selected as independent factors in CCD, while the adsorption capacity (q e) was considered as a response function. The separation of inorganic As species in water samples before and after biosorption was carried out by cloud point and solid-phase extraction methods. Theoretical values of pH, concentration of analytes, biosorbent dose, and contact time were calculated by quadratic equation for 100 % biosorption of both inorganic As species in aqueous media. Experimental data were modeled by Langmuir and Freundlich isotherms. Thermodynamic and kinetic study indicated that the biosorption of AsIII and AsV was followed by pseudo second order. It was concluded that the indigenous biosorbent material efficiently and simultaneously removed both As species in the range of 70.8 to 98.5 % of total contents in studied ground water samples. Optimizing the significant varable by central 23 + star orthogonal composite designKeywords
Funding Information
- Higher Education Commission (HEC), Islamabad ((Pin # 112-26591-2Ps1-182).)
This publication has 67 references indexed in Scilit:
- Comparative study of Box–Behnken, central composite, and Doehlert matrix for multivariate optimization of Pb (II) adsorption onto Robinia tree leavesJournal of Chemometrics, 2013
- Experimental design in chemistry: A tutorialAnalytica Chimica Acta, 2009
- Optimization of cloud point extraction and solid phase extraction methods for speciation of arsenic in natural water using multivariate techniqueAnalytica Chimica Acta, 2009
- Biosorptive removal of arsenic from drinking waterBioresource Technology, 2009
- Box-Behnken design: An alternative for the optimization of analytical methodsAnalytica Chimica Acta, 2007
- Investigations on the adsorption efficiency of iron oxide coated cement (IOCC) towards As(V)—kinetics, equilibrium and thermodynamic studiesColloids and Surfaces A: Physicochemical and Engineering Aspects, 2006
- A review of the source, behaviour and distribution of arsenic in natural watersApplied Geochemistry, 2002
- Hydrogeochemistry of arsenic and other inorganic constituents in groundwaters from La Pampa, ArgentinaApplied Geochemistry, 2002
- Application of Doehlert optimization and factorial designs in developing and validating a solid-phase spectrophotometric determination of trace levels of cadmiumAnalytica Chimica Acta, 1999
- Removal of Molybdate and Arsenate from Aqueous Solutions by FlotationSeparation Science and Technology, 1996