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Evaluation and Predictive Modeling of Removal Condition for Bioadsorption of Indigo Blue Dye by Spirulina platensis

Research Output:
Contribution to journal
Article
Peer-review

Open access

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Metrics

SciVal
FWCI
0.86
SciVal
Author count
9
SciVal
Citations
23
SciVal
Paper percentile
68
Scopus
Citations

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-review

Original language

English

Article number

82

Journal (Volume, Issue Number)

Microorganisms (Volume 8, Issue 1)

Publication milestones

  • Published - 07/01/2020

Publication status

Published - 07/01/2020

ISSN

2076-2607

Publication IDs

  • Scopus: 85078300611

Funding Details

FundersFunding numbers
Bioprocess Research Chair
0020209I13
Instituto Tecnologico de Estudios Superiores de Monterrey
-
CONACYT
888365