Microbial Decolorization of Triazo Dye, Direct Blue 71: An Optimization Approach Using Response Surface Methodology (RSM) and Artificial Neural Network (ANN)
Joint Authors
Halmi, M. I. E.
Shukor, Mohd Yunus
Abd Gani, Siti Salwa
Samsuri, A. W.
Zaidan, Uswatun Hasanah
Zin, Khairunnisa’ Mohd
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-02-18
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
The release of wastewater from textile dyeing industrial sectors is a huge concern with regard to pollution as the treatment of these waters is truly a challenging process.
Hence, this study investigates the triazo bond Direct Blue 71 (DB71) dye decolorization and degradation dye by a mixed bacterial culture in the deficiency source of carbon and nitrogen.
The metagenomics analysis found that the microbial community consists of a major bacterial group of Acinetobacter (30%), Comamonas (11%), Aeromonadaceae (10%), Pseudomonas (10%), Flavobacterium (8%), Porphyromonadaceae (6%), and Enterobacteriaceae (4%).
The richest phylum includes Proteobacteria (78.61%), followed by Bacteroidetes (14.48%) and Firmicutes (3.08%).
The decolorization process optimization was effectively done by using response surface methodology (RSM) and artificial neural network (ANN).
The experimental variables of dye concentration, yeast extract, and pH show a significant effect on DB71 dye decolorization percentage.
Over a comparative scale, the ANN model has higher prediction and accuracy in the fitness compared to the RSM model proven by approximated R2 and AAD values.
The results acquired signify an efficient decolorization of DB71 dye by a mixed bacterial culture.
American Psychological Association (APA)
Zin, Khairunnisa’ Mohd& Halmi, M. I. E.& Abd Gani, Siti Salwa& Zaidan, Uswatun Hasanah& Samsuri, A. W.& Shukor, Mohd Yunus. 2020. Microbial Decolorization of Triazo Dye, Direct Blue 71: An Optimization Approach Using Response Surface Methodology (RSM) and Artificial Neural Network (ANN). BioMed Research International،Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1132701
Modern Language Association (MLA)
Zin, Khairunnisa’ Mohd…[et al.]. Microbial Decolorization of Triazo Dye, Direct Blue 71: An Optimization Approach Using Response Surface Methodology (RSM) and Artificial Neural Network (ANN). BioMed Research International No. 2020 (2020), pp.1-16.
https://search.emarefa.net/detail/BIM-1132701
American Medical Association (AMA)
Zin, Khairunnisa’ Mohd& Halmi, M. I. E.& Abd Gani, Siti Salwa& Zaidan, Uswatun Hasanah& Samsuri, A. W.& Shukor, Mohd Yunus. Microbial Decolorization of Triazo Dye, Direct Blue 71: An Optimization Approach Using Response Surface Methodology (RSM) and Artificial Neural Network (ANN). BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1132701
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1132701