Optimization and kinetic studies on treatment of textile dye wastewater using Pleurotus floridanus

Sathian, S.; Radha, G. V.; Shanmugapriya, V.; Karthikeyan, C.

doi:10.1007/s13201-012-0055-0

Cited by 19 publications

(5 citation statements)

References 13 publications

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“…Textile industry is considered as one of the main causes of pollution problems worldwide that discharges severe dyecontaining wastewaters. In general, the effluent wastewater discharged from this dyeing industry is esthetically and environmentally unacceptable as it is a highly persistent of organic pollutants and has strong color and high pH value (Wang et al 2007;Sathian et al 2013). The volume of wastewater from the industries has increased and needs to be treated.…”

Section: Introductionmentioning

confidence: 99%

Application of Box–Behnken factorial design for parameters optimization of basic dye removal using nano-hematite photo-Fenton tool

2018

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A huge amount of water is consumed in the textile industry, and the result is the production of a large amount of wastewater. The treatment of such wastewater significantly reduces the pollution load. Oxidation by nano-Fenton reactions (Fe 3+ / H 2 O 2) is a reasonable and cost-efficient process for the remediation of harmful pollutants in wastewater. In the present study, nano-hematite was applied as a source of iron in Fenton's reagent for methylene blue dye removal from wastewater. The effects of different parameters, presence of nano-hematite, hydrogen peroxide concentrations and pH, were optimized using the response surface methodology technique. A Box-Behnken design was applied, and the response (dye removal) was maximized. A maximal dye removal (81.6%) was attained when wastewater was treated at pH 2.5 in the presence of nanohematite and hydrogen peroxide in the amounts of 41 and 388 mg/L, respectively. The model is well fitted and described using the second-order polynomial equation. Moreover, the model validation showed a 97% fit between the theoretical and experimental ones.

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Section: Introductionmentioning

confidence: 99%

Application of Box–Behnken factorial design for parameters optimization of basic dye removal using nano-hematite photo-Fenton tool

2018

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“…The wastewater was stored at 5 • C in a freezer. The wastewater was analyzed in the laboratory and it was reported in our earlier article [16]. The WRFs, Pleurotus floridanus (MTCC-6315), Ganoderma lucidum (MTCC-1039) and Trametes pubescens (MTCC-1813) were obtained from Microbial Type Culture Collection Centre (MTCC), Chandigarh, India.…”

Section: Methodsmentioning

confidence: 99%

Performance evaluation of SBR for the treatment of dyeing wastewater by simultaneous biological and adsorption processes

Sathian

Rathnasabapathy

Karthikeyan

2014

Journal of Water Process Engineering

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“…The dye removal efficacy was observed to be 97% at the optimized temperature of 32 °C, pH 8.3 and Yeast Extract concentration of 1.16 g/100 mL (A. Das & Mishra, 2017). Sathian et al (2013) also utilized BB design in order to optimize the levels of pH, temperature, agitation speed and dye concentration for determining the efficacy of Pleurotus floridanus in treatment of textile dye wastewater (Sathian et al, 2013). The decolorization of Solophenyl red 3BL (SR) by Fomes fomentarius laccase was studied using RSM-based BB.…”

Section: Box-behnken Design (Bb)mentioning

confidence: 99%

Optimization of Media Components and Process Parameters for Microbial Mediated Remediation of Azo Dyes: A Review

Uppala¹,

Muthukumaran

2021

J microb biotech food sci

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Azo dyes are one of the most commonly used synthetic dyes with enormous applications in the textile industry. The recalcitrant properties of azo dyes could be attributed to the highly complex chemical organization. The limitations such as high cost and emergence of secondary toxic pollutants as by-products associated with physicochemical mode of degradation urged researchers to explore potential alternatives. Microorganisms having versatile metabolic pathways and adaptations to different environmental conditions gained the attention of researchers to exploit them for azo dyes degradation in a cost-effective manner. The azo dye degradation using microbial sources proved to be a promising approach as compared to conventional physicochemical approaches. Microorganisms can induce different metabolic pathways in response to the external environment. The biodegradation efficacy of the microorganisms-based approach can be maximized by optimizing the culture media and process parameters. Optimization techniques predict the conditions required to increase the efficacy of azo dyes degradation by microbial sources and also decrease the number of experimental runs to achieve the maximum percentage of degradation. Interaction of variables such as medium components and process parameters can be determined using optimization tools. Response Surface Methodology (RSM) and Artificial Neural Network (ANN) based optimization approaches were discussed in this review with special emphasis on microbial degradation of azo dyes.

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Optimization and kinetic studies on treatment of textile dye wastewater using Pleurotus floridanus

Cited by 19 publications

References 13 publications

Application of Box–Behnken factorial design for parameters optimization of basic dye removal using nano-hematite photo-Fenton tool

Application of Box–Behnken factorial design for parameters optimization of basic dye removal using nano-hematite photo-Fenton tool

Performance evaluation of SBR for the treatment of dyeing wastewater by simultaneous biological and adsorption processes

Optimization of Media Components and Process Parameters for Microbial Mediated Remediation of Azo Dyes: A Review

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