scholarly journals Decolorization of Textile Dye by Brevibacillus laterosporus (TS5) and Influencing Factors Optimization through Response Surface Methodology

2020 ◽  
Vol 2 (3) ◽  
pp. 51-60
Author(s):  
Palanivelan Ramachandran ◽  
Ayyasamy Pudukkadu Munusamy ◽  
Ramya Suseenthar
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Incubation Period ◽  
Yeast Extract ◽  
Dye Removal ◽  
Dye Decolorization ◽  
Luria Bertani ◽  
Textile Dye ◽  
Brevibacillus Laterosporus ◽  
Rdna Sequencing

The dye removal bacteria Brevibacillus laterosporus (TS5) was isolated from dye contaminated soil, and it’s identified by 16S rDNA sequencing method. The prospective bacterial strain exhibited a highest decolorization (97.8%) in Luria-Bertani broth medium. Among the operational factors, Plackett-Burman design, experimental results indicated that pH, incubation period, and yeast extract significantly contributed for the dye decolorization. Also, dye concentration, starch, temperature, and inoculum size noted as insignificant factors on dye decolorization. Central composite design applied for optimization of important factors to enhance the dye decolorization by Brevibacillus laterosporus (TS5). The optimal values of significant factors were determined by the Response surface methodology (RSM) as follows: 0.60% (w/v) yeast extract, 7.23 pH and 61.45 hrs incubation period, which assisted for Brevibacillus laterosporus (TS5) to attain 90.66% dye removal. Brevibacillus laterosporus (TS5) showed 90.08% decolorization in validation experiments by the support of optimal factors, and implies that explored strain could be a suitable candidate for bioremediation of dye containing effluents.

scholarly journals Bio-statistical evaluation of cultural conditions on industrial textile dye decolourisation using a native bacterium Micrococcus endophyticus (ES37)

2015 ◽  
Vol 5 (4) ◽  
pp. 557-568
Author(s):  
P. M. Ayyasamy ◽  
Suresh S. S. Raja ◽  
B. Subashni ◽  
R. Palanivelan
Keyword(s):  
Environmental Factors ◽  
Yeast Extract ◽  
Bacterial Strain ◽  
Dye Removal ◽  
Nitrogen Sources ◽  
Luria Bertani ◽  
Textile Dye ◽  
Rdna Sequencing ◽  
Golden Yellow ◽  
Dye Decolourisation

An indigenous dye-decolourising bacterium Micrococcus endophyticus (ES37) was isolated from dye contaminated soil and identified by 16S rDNA sequencing. The bacterial strain ES37 exhibited 97.19% of dye removal capacity in Luria-Bertani broth composition within 48 h, while the culture containing yeast extract showed 53.4% decolourisation in 72 h. In the absence of carbon and nitrogen sources, the bacterial strain failed to decolourise the dye, even on extended incubation. The effect of environmental factors on decolourisation was investigated by Plackett–Burman design and the significant parameters were lactose, yeast extract and pH. Optimisation of these factors was done by response surface methodology with central composite design; the decolourisation ranged from 0.43 to 77.49%. The optimised levels of lactose, yeast extract and pH were found to be 0.85% (w/v), 0.71% (w/v) and 7.5%, respectively. Under the optimal conditions, decolourisation of remazol golden yellow by ES37 strain was 81.61%, which was in agreement with the predicted value of 79.99%. These findings revealed the interactions and importance of environmental factors on dye decolourisation using native bacteria and also their standard point for an effective dye removal process.

Optimization of photocatalytic degradation of real textile dye house wastewater by response surface methodology

2016 ◽  
Vol 74 (9) ◽  
pp. 1999-2009 ◽  
Author(s):  
Sayed Mohammad Bagher Hosseini ◽  
Narges Fallah ◽  
Sayed Javid Royaee
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Flow Rate ◽  
Advanced Oxidation Process ◽  
Influential Factor ◽  
P Value ◽  
Textile Dye ◽  
Optimum Conditions ◽  
Effective Parameters ◽  
Initial Ph

This study evaluates the advanced oxidation process for decolorization of real textile dyeing wastewater containing azo and disperse dye by TiO2 and UV radiation. Among effective parameters on the photocatalytic process, effects of three operational parameters (TiO2 concentration, initial pH and aeration flow rate) were examined with response surface methodology. The F-value (136.75) and p-value <0.0001 imply that the model is significant. The ‘Pred R-Squared’ of 0.95 is in reasonable agreement with the ‘Adj R-Squared’ of 0.98, which confirms the adaptability of this model. From the quadratic models developed for degradation and subsequent analysis of variance (ANOVA) test using Design Expert software, the concentration of catalyst was found to be the most influential factor, while all the other factors were also significant. To achieve maximum dye removal, optimum conditions were found at TiO2 concentration of 3 g L−1, initial pH of 7 and aeration flow rate of 1.50 L min−1. Under the conditions stated, the percentages of dye and chemical oxygen demand removal were 98.50% and 91.50%, respectively. Furthermore, the mineralization test showed that total organic compounds removal was 91.50% during optimum conditions.

Sign in / Sign up

Export Citation Format

Share Document