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Title: | Data set on the bioprecipitation of sulfate and trivalent arsenic by acidophilic non-traditional sulfur reducing bacteria. |
Authors: | Matos, Letícia Paiva de Costa, Patrícia Freitas Moreira, Mariana Gomes, Paula Cristine Silva Silva, Silvana de Queiroz Gurgel, Leandro Vinícius Alves Teixeira, Mônica Cristina |
Keywords: | Arsenite Bioremediation Immobilized cells Sulfate reduction |
Issue Date: | 2018 |
Citation: | MATOS, L. P. et al. Data set on the bioprecipitation of sulfate and trivalent arsenic by acidophilic non-traditional sulfur reducing bacteria. Data in Brief, v. 17, p. 57-65, 2018. Disponível em: <https://www.sciencedirect.com/science/article/pii/S235234091730759X>. Acesso em: 05 abr. 2018. |
Abstract: | Data presented here are related to the original paper “Simultaneous removal of sulfate and arsenic using immobilized non-traditional sulfate reducing bacteria (SRB) mixed culture and alternative low-cost carbon sources ”published by same authors (Matos et al., 2018) [1]. The data set here presented aims to facilitate this paper comprehension by giving readers some additional information. Data set includes a brief description of experimental conditions and the results obtained during both batch and semi-continuous reactors experiments. Data confirmed arsenic and sulfate were simultaneously removed under acidic pH by using a biological treatment based on the activity of a non-traditional sulfur reducing bacteria consortium. This microbial consortium was able to utilize glycerol, powdered chicken feathers as carbon donors, and proved to be resistant to arsenite up to 8.0 mg L−1. Data related to sulfate and arsenic removal efficiencies, residual arsenite and sulfate contents, pH and Eh measurements obtained under different experimental conditions were depicted in graphical format. |
URI: | http://www.repositorio.ufop.br/handle/123456789/9918 |
ISSN: | 23523409 |
metadata.dc.rights.license: | This is an open access article under the CCBY license. Fonte: o próprio artigo. |
Appears in Collections: | DECBI - Artigos publicados em periódicos |
Files in This Item:
File | Description | Size | Format | |
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ARTIGO_DataSetBioprecipitation.pdf | 1,29 MB | Adobe PDF | View/Open |
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