Literature DB >> 18462879

Performance of a modified multi-stage bubble column reactor for lead(II) and biological oxygen demand removal from wastewater using activated rice husk.

J N Sahu1, S Agarwal, B C Meikap, M N Biswas.   

Abstract

The excessive release of wastewater into the environment is a major concern worldwide. Adsorption is the one of the most effective technique for treatment of wastewater. In this work activated carbon prepared from rice husk has been used as an adsorbent. In the present investigation a three phase modified multi-stage bubble column reactor (MMBCR) has been designed to remove lead and biochemical oxygen demand (BOD) from wastewater by means of its adsorption onto the surface of activated rice husk. The multi-staging has been achieved by hydrodynamically induced continuous bubble generation, breakup and regeneration. Under optimum conditions, maximum lead and BOD reduction achieved using activated rice husk was 77.15% and 19.05%, respectively. Results showed MMBCR offered appreciated potential benefits for lead removal from wastewater and BOD removal, even this extent of removal is encouraging and the MMBCR can be used a pretreatment unit before subjecting the wastewater to biological treatment.

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Year:  2008        PMID: 18462879     DOI: 10.1016/j.jhazmat.2008.03.094

Source DB:  PubMed          Journal:  J Hazard Mater        ISSN: 0304-3894            Impact factor:   10.588


  3 in total

1.  Preparation, characterization, and dye removal study of activated carbon prepared from palm kernel shell.

Authors:  Juan Rafael García; Ulises Sedran; Muhammad Abbas Ahmad Zaini; Zainul Akmar Zakaria
Journal:  Environ Sci Pollut Res Int       Date:  2017-04-08       Impact factor: 4.223

2.  Preparation and characterization of rice husk adsorbents for phenol removal from aqueous systems.

Authors:  Samah Babiker Daffalla; Hilmi Mukhtar; Maizatul Shima Shaharun
Journal:  PLoS One       Date:  2020-12-04       Impact factor: 3.240

3.  High-performance hybrid modeling chemical reactors using differential evolution based fuzzy inference system.

Authors:  Meisam Babanezhad; Iman Behroyan; Ali Taghvaie Nakhjiri; Azam Marjani; Mashallah Rezakazemi; Saeed Shirazian
Journal:  Sci Rep       Date:  2020-12-04       Impact factor: 4.379

  3 in total

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