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The development of a magnetically operated biosorbent based on the yeast saccharomyces cerevisiae for removing copper cations Cu2+
2017
Journal:  
Eastern-European Journal of Enterprise Technologies
Author:  
Abstract:

The study has revealed that the process of obtaining a magnetically operated biosorbent depends on the medium pH, the strength of the permanent magnetic field of the installation for multivortical MHD stirring, the ratio of the mass of the nanosized magnetite to the yeast S. cerevisiae, and the process duration. The isotherms of copper cations sorption by magnetically operated biosorbents were obtained depending on the production duration. Tests were conducted to determine the magnetic susceptibility of the magnetically operated biosorbents. The experiment results provide conclusions on the optimal parameters of the magnetically operated biosorbent production in terms of biosorption characteristics. The study has disclosed an optimal magnetically operated biosorbent of copper cations based on the yeast S. cerevisiae under the following parameters of the production process: the external permanent magnetic field – 240 kA/m, the medium pH=2.5 with adding nitric acid according to previous studies, the ratio of the magnetite Fe3O4 to the yeast biomass – 1 % w/w, the duration of preparing the sorbent – 2 minutes, and the maximum sorption capacity – 25.5±0.5 mg Cu2+/g of the biosorbent dry mass.The conducted tests have proved an opportunity to make biosorption by the yeast S. cerevisiae, and it is possible to remove the waste biosorbent by high gradient magnetic separation. The optimal conditions of production and the effectiveness of both the sorption capacity and the magnetic susceptibility make it possible to develop an efficient technology of wastewater cleaning from heavy metal cations. Author Biographies Svitlana Gorobets, National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute» Peremohy ave., 37, Kyiv, Ukraine, 03056 Doctor of technical sciences, Professor, Head of Department Department of Bioinformatics

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Eastern-European Journal of Enterprise Technologies

Field :   Fen Bilimleri ve Matematik

Journal Type :   Uluslararası

Metrics
Article : 4.764
Cite : 4.485
2023 Impact : 0.294
Eastern-European Journal of Enterprise Technologies