Mutavdžić Pavlović, Dragana and Ćurković, Lidija and Blažek, Dijana and Župan, Josip (2014) The sorption of sulfamethazine on soil samples: Isotherms and error analysis. = The sorption of sulfamethazine on soil samples: Isotherms and error analysis. Science of the total environment, 497. pp. 543-552. ISSN 0048-9697. Vrsta rada: ["eprint_fieldopt_article_type_article" not defined]. Kvartili JCR: Q1 (2013). Točan broj autora: 4.
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Abstract
In this paper, batch sorption of sulfamethazine on eight soil samples (six from Croatia and two from Bosnia and Hercegovina) with different organic matter contents ranging from 1.52 to 12.8% was investigated. The effects of various parameters such as agitation time, initial concentration, and ionic strength on the sulfamethazine sorption were studied. The experimental data were analysed using a one-parameter model, Linear isotherm, and two two-parameter models, the Freundlich and Dubinin-Radushkevich isotherms. The goodness of fit was measured using the linear regression and the determination coefficient (R2) value. Also, the equilibrium data of the two-parameter models were analysed using the residual root mean square error (RMSE), the sum of squares of errors (ERRSQ), and a composite fractional error function (HYBRID).Non-linear regression has better characteristics for analysing experimental data. The obtained sorption coefficients Kd (from 0.25 to 8.10mL/g) and the Freundlich sorption coefficients KF (from 1.16 to 7.99 (μg/g)(mL/μg)1/n) exhibited quite low values, which indicated that sulfamethazine is weakly adsorbed on the evaluated soils, is highly mobile, and has a great potential to penetrate and pollute the ground water. The Dubinin-Radushkevich isotherm was used to estimate the apparent free energy of sorption. © 2014 .
| Item Type: | Article (["eprint_fieldopt_article_type_article" not defined]) |
|---|---|
| Keywords (Croatian): | Models; Soils; Sorption; Soil sample; Sulfamethazine; Isotherms; sulfadimidine; concentration (composition); error analysis; isotherm; linear programing; numerical model; organic matter; parameterization; regression analysis; soil analysis; soil strength; sorption; adsorption; Article; concentration (parameters); energy; error; ionic strength; isotherm; linear regression analysis; nonlinear regression analysis; pollution transport; soil; soil analysis; water pollution |
| Subjects: | NATURAL SCIENCES > Chemistry TECHNICAL SCIENCE > Mechanical Engineering |
| Divisions: | 1000 Department of Materials > 1010 Chair of Materials and Tribology |
| Indexed in Web of Science: | Yes |
| Indexed in Current Contents: | Yes |
| Citations JCR: | 1 (20.5.2015.) |
| Quartiles: | Q1 (2013) |
| Citations SCOPUS: | 1 (20.5.2015.) |
| Date Deposited: | 20 May 2015 09:25 |
| Last Modified: | 20 May 2015 09:25 |
| URI: | http://repozitorij.fsb.hr/id/eprint/4314 |
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