2024
DOI: 10.3390/app14020655
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Yeast-Based Magnetic Biocomposite for Efficient Sorption of Organic Pollutants

Paweł Staroń,
Jarosław Chwastowski

Abstract: The study aimed to prepare a biocomposite containing Yarrowia lipolytica yeast cells with magnetic properties. The work proposes the use of this biocomposite as a sorbent for the removal of organic pollutants like methylene blue from liquids. The sorption process was conducted in a periodic process through which different parameters were analyzed such as initial concentration (50–250 mg/dm3), time of the process (0.167–24 h), and temperature (25–40 °C). To fit the experimental data to theoretical models, the L… Show more

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Cited by 4 publications
(2 citation statements)
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“…In addition, the mean free energy of sorption (also known as average adsorption potential energy) was calculated according to the Dubinin-Radushkevich (D-R) isotherm [20,21]. For the investigated system, the mean free energy of sorption was equal to E S = 13.66 ± 0.08 kJ/mol, suggesting relevant electrostatic interactions between BB9 cation and the surface of fibers.…”
Section: Model Type Model Equation Model Parametersmentioning
confidence: 99%
See 1 more Smart Citation
“…In addition, the mean free energy of sorption (also known as average adsorption potential energy) was calculated according to the Dubinin-Radushkevich (D-R) isotherm [20,21]. For the investigated system, the mean free energy of sorption was equal to E S = 13.66 ± 0.08 kJ/mol, suggesting relevant electrostatic interactions between BB9 cation and the surface of fibers.…”
Section: Model Type Model Equation Model Parametersmentioning
confidence: 99%
“…For the investigated system, the mean free energy of sorption was equal to E S = 13.66 ± 0.08 kJ/mol, suggesting relevant electrostatic interactions between BB9 cation and the surface of fibers. The D-R isotherm equations [21] and the estimated parameters are also given in Table 1. Likewise, the changes in thermodynamic parameters (i.e., Gibbs free energy, enthalpy, and entropy) were assessed for the studied adsorption process.…”
Section: Model Type Model Equation Model Parametersmentioning
confidence: 99%