Abstract

Research of biosorption and search for the cheapest and effective biosorbents of heavy metals are important for wastewater treatment, recovery and allocation of precious metals. Biosorbent artificially provided with magnetic properties quickly and efficiently can be removed from the workspace. Magnetically labeled biosorbent obtained by multi-vortical MHD stirring of yeast S. cerevisiae with nanoscale magnetic labels is able to remove from solutions a wide range of metals, and is the subject of the study. Sorption properties of cell walls in the case of passive biosorption are dependent from represented on its surface functional groups such as carboxyl and amino groups. Quantitative analysis of the contribution of functional groups, lipids and proteins in sorption capacity of magnetically labeled cells of interest for understanding the sorption of metal cations, interactions of particles of magnetite with cell wall and sorption of metal cations by immobilized magnetite. There is a need to detect how many functional groups are blocked by magnetite during multi-vortical MHD stirring. To solve this problem it is prompted to investigate and analyze the sorption capacity of magnetically labeled yeast by modifying the surface of biosorbent by extraction or blocking in terms of biosorption by functional groups. The results showed that the carboxyl groups, and after them the amino group of the cell wall of native and magnetically labeled yeasts have the greatest contribution to the sorption of copper cations. Magnetic labels interact with −COOH groups and block them − about 15 % of the cell wall components extracted using NaOH. At the same time 1 % by weight of magnetite provides biosorbent equivalent amount of copper cations binding sites on the surface of cells, which in turn leads to the same sorption capacity of native and magnetically labeled yeasts.

Highlights

  • The development and perfection of methods of waste water treatment from different origin pollutants, including heavy metals cations such as a copper, iron, etc, remain relevant today

  • Sorption capacity towards copper cations Cu2+ of magnetically labeled biosorbent based on the yeast S. cerevisiae, obtained by multi-vortical magnetohydrodynamic (MHD) stirring depends on the number of attached nanosized magnetite Fe3O4 [1]

  • – to study the sorption capacity of the magnetically labeled yeasts, modified by methods that allow to extract the components of cellular wall or block functional groups in terms of biosorption; – to compare results to similar researches for native yeasts; – to study the sorption capacity of the extracted components of cellular wall of magnetically labeled yeasts S. cerevisiae in terms of the functional groups attracted in a biosorption, and nanosized magnetite

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Summary

Introduction

The development and perfection of methods of waste water treatment from different origin pollutants, including heavy metals cations such as a copper, iron, etc, remain relevant today. The yeasts S. cerevisiae are not the most effective biosorbent of heavy metals, but their availability largely overlaps competitors. Besides this type of yeasts it is well studied that simplifies the search of ways of modification or activation of biomass for a biosorption. Sorption capacity towards copper cations Cu2+ of magnetically labeled biosorbent based on the yeast S. cerevisiae, obtained by multi-vortical magnetohydrodynamic (MHD) stirring depends on the number of attached nanosized magnetite Fe3O4 [1]. A passive biosorption by magnetically labeled yeasts takes place apparently due to the stoichiometric ratios of functional groups of the cellular wall components to the metal ions and physical adsorption by electrical interactions [2], and due to a sorption by magnetite. There is a necessity to educe, what amount of functional groups and components of cellular wall has been blocked by magnetite during multi-vortical MHD stirring

The object of research and its technological audit
The aim and objectives of research
Research of existing solutions of the problem
Methods of research
SWOT-analysis of studies
Findings
Conclusions
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