Evaluation and Predictive Modeling of Removal Condition for Bioadsorption of Indigo Blue Dye by Spirulina platensis
- ,
- ,
- Arisbe Silva-Núñez,
- Gibrán S. Alemán-Nava,
- Carlos Castillo-Zacarías,
- Ricardo A. Ramirez-Mendoza
- ,
- Instituto Tecnológico y de Estudios Superiores de Monterrey
Research Output:
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Article
Peer-reviewOpen access
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FWCI
0.86
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Author count
9
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Citations
23
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68
Abstract
Among the different chemical and physical treatments used to remove the color of the textile effluents, bioremediation offers many benefits to the environment. In this study, we determined the potential of Spirulina platensis (S. platensis) for decolorizing indigo blue dye under different incubation conditions. The microalgae were incubated at different pH (from 4 to 10) to calibrate for the optimal discoloration condition; a pH of 4 was found to be optimal. The biomass concentration in all experiments was 1 g/L, which was able to decolorize the indigo blue dye by day 3. These results showed that S. platensis is capable of removing indigo blue dye at low biomass. However, this was dependent on the treatment conditions, where temperature played the most crucial role. Two theoretical adsorption models, namely (1) a first-order model equation and (2) a second-order rate equation, were compared with observed adsorption vs. time curves for different initial concentrations (from 25 to 100 mg/L). The comparison between models showed similar accuracy and agreement with the experimental values. The observed adsorption isotherms for three temperatures (30, 40, and 50 °C) were plotted, showing fairly linear behavior in the measured range. The adsorption equilibrium isotherms were estimated, providing an initial description of the dye removal capacity of S. platensis.
Publication Information
Output type
Research Output:
Contribution to journal
Article
Peer-reviewOriginal language
EnglishArticle number
82Journal (Volume, Issue Number)
Microorganisms (Volume 8, Issue 1)Publication milestones
- Published - 07/01/2020
Publication status
Published - 07/01/2020
ISSN
2076-2607Publication IDs
- Scopus: 85078300611
Funding Details
FundersFunding numbers
Bioprocess Research Chair
0020209I13
Instituto Tecnologico de Estudios Superiores de Monterrey
-CONACYT
888365
