477
Views
18
CrossRef citations to date
0
Altmetric
Research Articles

Hybrid coagulation-flocculation and anaerobic-aerobic biological treatment for industrial textile wastewater: pilot case study

, , &
Pages 200-206 | Received 14 Dec 2019, Accepted 12 Feb 2020, Published online: 22 Feb 2020
 

Abstract

Color is one of the main problems in wastewater and many techniques can be applied to remove it. In the present work, a pilot plant scale investigation was carried out to optimize treatment efficiency in order to reduce the amount of residual adsorbed dye that will be found in the waste sludge. For degradation of textile wastewater (TWW), coagulation–flocculation experiments were performed in a jar test apparatus using FeCl3, Fe(SO4), Al2(SO4)3 and Cu(SO4) as a coagulant agent and three bacteria (Sphingomonas paucimobilis, Bacillus sp. and filamentous bacteria) by means of biodegradation, coagulation–flocculation process and their combination. The color, COD and phenol removal were 81.82%, 76.17% and 35.69% respectively. UV–vis and nuclear magnetic resonance (NMR) spectroscopy analysis confirmed the biodegradability of the TWW by post and pre-treatment of the developed bacterial consortium. The textile wastewater phytotoxicity assessment on Sorghum bicolor and Triticum aestivum showed 80% and 60% reduction after post-treatment textile wastewater.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 268.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.