Polimento de efluentes industriais através da adsorção com biochar proveniente de resíduos da vinificação
Ano de defesa: | 2023 |
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Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | |
Tipo de documento: | Dissertação |
Tipo de acesso: | Acesso aberto |
Idioma: | por |
Instituição de defesa: |
Universidade Federal de Santa Maria
Brasil Engenharia Química UFSM Programa de Pós-Graduação em Engenharia Química Centro de Tecnologia |
Programa de Pós-Graduação: |
Não Informado pela instituição
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Departamento: |
Não Informado pela instituição
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País: |
Não Informado pela instituição
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Palavras-chave em Português: | |
Link de acesso: | http://repositorio.ufsm.br/handle/1/28778 |
Resumo: | The applicability of biochar in water treatment has been gaining interest due to its sustainability and low production cost. Thus, this work proposes the use of Biochar from Serra Gaúcha (BSG) as an adsorption element for zinc (Zn) and nickel (Ni) from industrial effluent. A load of metals present in this effluent originates essentially in the pretreatment and E-coat painting process of a metalworking company in the northwest of the state of Rio Grande do Sul – Brazil. The BSG adsorbent was characterized by Scanning Electron Microscopy (SEM), X-Ray Diffraction (XRD), Fourier Transform Infrared Spectroscopy (FT-IR), Differential Scanning Calorimetry (DSC), and thermogravimetric analysis (TGA), techniques which showed the feasibility of using the adsorbent, such as the presence of irregular cavities, surface area and pore volume were determined by the BET and BJH method, adsorption capacity of cationic species and thermal stability. In batch tests, better performance was obtained at alkaline pH. Adsorption kinetics indicated that equilibrium was reached after approximately 60 minutes of adsorption. Both pseudo-first and pseudo-second-order kinetic models fit the experimental data satisfactorily. Adsorption isotherms showed linear behavior between concentration and adsorption capacity; therefore, Henry's model was chosen to represent the fit of the experimental data. [...] |