Isolation and Biomass Production of a Saccharomyces cerevisiae Strain Binding Copper and Zinc Ions

In this study, biosorption of copper and zinc ions on Baker’s yeast, Saccharomyces Cerevisiae was investigated. The data of batch experiments was used to perform equilibrium and kinetic studies. The experimental results were fitted well to the Langmuir and Freundlich model isotherms. According to the parameters of Langmuir isotherm, the maximum biosorption capacities of copper and zinc ions onto immobilized yeast were 5.408mg/g and 1.479mg/g at 293 Kfor the treated beads. Competitive biosorption of two metal ions was investigated in terms of maximum sorption quantity. The binding capacity for copper ions is more than the zinc ions for both untreated and treated immobilized yeast.While, for the kinetic studies, the pseudo second order model was found the most suitable model for the present systems.

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Electromagnetic Fields (0.04 to 0.39) mT effect on cellular growth cycles of Saccharomyces cerevisiae wine strains

BISTUA REVISTA DE LA FACULTAD DE CIENCIAS BASICAS ◽

10.24054/01204211.v2.n2.2019.3536 ◽

2019 ◽

Vol 17 (2) ◽

pp. 196

Author(s):

Eliseo Amado-González ◽

Alveiro Álvarez Ovallos ◽

Alfonso Quijano Parra

Keyword(s):

Saccharomyces Cerevisiae ◽

Electromagnetic Fields ◽

Biomass Production ◽

Exposure Time ◽

Culture Media ◽

Dry Weight ◽

Cellular Growth ◽

Biomass Growth ◽

Yeast Saccharomyces Cerevisiae ◽

Growth Cycles

Low frecuency electromagnetic fields effect (EMF) on growth cycles of yeast Saccharomyces cerevisiae wine strains Rv1 and Rhône were studied. A cylindrical coil induced magnetic fields with inductions up to 0,39 mT. Exposure time to EMF varied between (1 – 10) min at 30 °C. The biomass growth were monitored in the reactor culture media (yeast extract + by measurement optical density from (0 to 32) h. The biomass was found by dry weight. After yeast expose to the different EMF, the number of growth cycles decreased from 4 cycles to 2 or 1. However, the biomass production increased almost 50 %. The best biomass production was found at 0.39 mT and 10 min exposure time. Keywords: Electromagnetic fields, Saccharomyces cerevisiae, biomass production, RV1

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Gram-scale synthesis of monodisperse sulfonated polystyrene nanospheres for rapid and efficient sequestration of heavy metal ions

Chemical Communications ◽

10.1039/c7cc07397f ◽

2017 ◽

Vol 53 (95) ◽

pp. 12766-12769 ◽

Cited By ~ 13

Author(s):

Bin Gong ◽

Yaotian Peng ◽

Ziyan Pan ◽

Weiming Chen ◽

Yi Shen ◽

...

Keyword(s):

Heavy Metal ◽

Aqueous Solutions ◽

Metal Ions ◽

Heavy Metal Ions ◽

Large Scale ◽

Zinc Ions ◽

Sulfonated Polystyrene ◽

Copper And Zinc ◽

Polystyrene Nanospheres

Large-scale monodisperse sulfonated polystyrene nanospheres are synthesized for the removal of lead, copper and zinc ions from aqueous solutions.

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Efficient Removal of Metals from Synthetic and Real Galvanic Zinc–Containing Effluents by Brewer’s Yeast Saccharomyces cerevisiae

Materials ◽

10.3390/ma13163624 ◽

2020 ◽

Vol 13 (16) ◽

pp. 3624 ◽

Cited By ~ 1

Author(s):

Inga Zinicovscaia ◽

Nikita Yushin ◽

Daler Abdusamadzoda ◽

Dmitrii Grozdov ◽

Margarita Shvetsova

Keyword(s):

Saccharomyces Cerevisiae ◽

Metal Ions ◽

High Efficiency ◽

Zinc Ions ◽

Brewer’S Yeast ◽

Yeast Saccharomyces Cerevisiae ◽

Brewer's Yeast ◽

Biosorption Process ◽

Metal Biosorption ◽

Removal Of Metal Ions

The performance of the brewer’s yeast Saccharomyces cerevisiae to remove metal ions from four batch systems, namely Zn(II), Zn(II)-Sr(II)-Cu(II), Zn(II)-Ni(II)-Cu(II), and Zn(II)-Sr(II)-Cu(II)-Ba(II), and one real effluent was evaluated. Yeast biosorption capacity under different pH, temperature, initial zinc concentration, and contact time was investigated. The optimal pH for removal of metal ions present in the analyzed solution (Zn, Cu, Ni, Sr, and Ba) varied from 3.0 to 6.0. The biosorption process for zinc ions in all systems obeys Langmuir adsorption isotherm, and, in some cases, the Freundlich model was applicable as well. The kinetics of metal ions biosorption was described by pseudo-first-order, pseudo-second-order, and Elovich models. Thermodynamic calculations showed that metal biosorption was a spontaneous process. The two-stage sequential scheme of zinc ions removal from real effluent by the addition of different dosages of new sorbent allowed us to achieve a high efficiency of Zn(II) ions removal from the effluent. FTIR revealed that OH, C=C, C=O, C–H, C–N, and NH groups were the main biosorption sites for metal ions.

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A Study on the Coordination of Fully Substituted Cyclopentano Cucurbit[5, 6]uril with Copper and Zinc Ions

ChemistrySelect ◽

10.1002/slct.201902978 ◽

2019 ◽

Vol 4 (40) ◽

pp. 11674-11677 ◽

Cited By ~ 1

Author(s):

Wei Wei Zhao ◽

Lian Tong Wei ◽

Kai Zhi Zhou ◽

Ming Hua Chen ◽

Si Yuan Cheng ◽

...

Keyword(s):

Zinc Ions ◽

Copper And Zinc

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Packed-Bed Removal of Copper and Zinc Ions Using Chemically-Treated Chicken Feathers

Energy & Environment ◽

10.1260/095830503322364467 ◽

2003 ◽

Vol 14 (4) ◽

pp. 461-472 ◽

Cited By ~ 1

Author(s):

Sameer Al-Asheh ◽

Fawzi Banat

Keyword(s):

Scale Up ◽

Packed Bed ◽

Sorption Process ◽

Design Parameters ◽

Zinc Ions ◽

Chicken Feathers ◽

Copper And Zinc ◽

Chemically Treated ◽

Process Scale Up ◽

Bed Capacity

In this work, the sorption of copper by chemically treated chicken feathers was tested via packed-bed column. Chicken feathers were selected as adsorbent based on its high availability as environmental waste. The alkaline-treated chicken feathers column showed good sorption capacity toward copper and zinc ions. It was proved that an increase in metal concentration or flow rate of the influent solution shortens the break-through time. The break-through time increased with the bed depth. The break-through time occurred earlier when zinc was passed through the column rather than copper, but the bed capacity was higher for the later than for the former. The key process design parameters, which could serve as a basis for sorption process scale up, were calculated by applying the Bed-Depth-Service-Time (BDST) model to the experimental data.

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