Application of the mixture design to decolourise effluent textile wastewater using continuous stirred bed reactor

• Published in: Water S. A. Vol. 37; no. 1; pp. 21 - 26
• Main Authors: Achour, Sami, Ayed, Lamia, Bakhrouf, Amina
• Format: Journal Article
• Language: English
• Published: Pretoria Water Research Commission (WRC) 01-01-2011; Water Research Commision; Water Research Commission
• Subjects: Bacteria; Bacterial decolourisation; Biodegradation; Biological and medical sciences; Chemical oxygen demand; Color; Color removal; Earth sciences; Earth, ocean, space; Effluent treatment; Effluents; Exact sciences and technology; Experimental design; Fundamental and applied biological sciences. Psychology; Hydrology; Hydrology. Hydrogeology; Laboratoire d'Analyse, Traitement et Valorisation des Polluants de l'Environnement et des Produits; Mixture design; Pollutants; Reactors; Response surface; SBR; Temperature; Textile industry wastes; Textile industry wastewaters; Textile wastewater; Textiles; Toxicants; Water; strain; experimental studies; models; salt; bacteria; density; software; waste water; effluents; biodegradation; ultraviolet rays; Surfactant; chemically precipitated rocks; evaporites; pollutants; sedimentary rocks; prokaryotes; regression; pH; temperature; oxygen
• ISSN: 0378-4738; 0378-4738
• DOI: 10.4314/wsa.v37i1.64102

Important pollutants in textile effluents are mainly recalcitrant organics, colours, toxicants and inhibitory compounds, surfactants, chlorinated compounds (AOX), pH and salts. An aerobic system using a continuous stirred bed reactor (SBR) was continuously operated at constant temperature and fed with textile wastewater (pH 7 and total chemical oxygen demand (COD) 1 700 mg/ℓ). This report is focused on the decolourisation treatment of effluent by a bacterial consortium (Sphingomonas paucimobilis, Bacillus sp. and filamentous bacteria). The influence of the different mixtures of 3 strains on the decolourisation of effluent (cell density fixed at OD600 = 1) was studied using an equilateral triangle diagram and mixture experimental design to assess colour and COD removal during species evolution. With the aid of analysis software (Minitab 14.0), the formulation of pure culture was optimised for several responses and the best formulation obtained. The results suggested that the highest predictable specific decolourisation rate and chemical oxygen demand (COD) were 86.72% and 75.06%, respectively. Regression coefficients between the variables and the responses of decolourisation and COD removal were, respectively, R2 = 72.48% and 54.28%, which indicated excellent evaluation of experimental data by the polynomial regression model. UV-visible analysis confirmed biodegradation of effluent.