Literature DB >> 22583786

Metal removal from oil sands tailings pond water by indigenous micro-alga.

Hamed Mahdavi1, Ania C Ulrich, Yang Liu.   

Abstract

This paper reports the removal of ten target metals of environmental concern ((53)Cr, Mn, Co, (60)Ni, (65)Cu, (66)Zn, As, (88)Sr, (95)Mo, and Ba) from oil sands tailings pond water. The organism responsible for removal was found to be an indigenous green micro-alga identified as Parachlorella kessleri by sequencing of the 23S rRNA gene. P. kessleri grew in tailings pond water samples taken from two oil sands operators (Syncrude Canada Ltd. and Albian Sands Energy Inc.), and enriched with low (0.24 mM NO(3)(-) and 0.016 mM PO(4)(-3)) and high (1.98 mM NO(3)(-) and 0.20mM PO(4)(-3)) concentrations of nutrient supplements (the most realistic scenario). The removal of (60)Ni, (65)Cu, As, (88)Sr, (95)Mo, and Ba from Syncrude tailings pond water was significantly enhanced by high concentrations of nitrogen and phosphorus, whereas the high nutrient concentrations adversely affected the removal of Co, (60)Ni, As, (88)Sr, and Mo in samples of Albian tailings pond water. Based on ANOVA two-factor analysis, higher nutrient concentration does not always result in higher metal removal, and TPW source must also be considered.
Copyright © 2012. Published by Elsevier Ltd.

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Year:  2012        PMID: 22583786     DOI: 10.1016/j.chemosphere.2012.04.041

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  2 in total

Review 1.  Algae as a green technology for heavy metals removal from various wastewater.

Authors:  El-Sayed Salama; Hyun-Seog Roh; Subhabrata Dev; Moonis Ali Khan; Reda A I Abou-Shanab; Soon Woong Chang; Byong-Hun Jeon
Journal:  World J Microbiol Biotechnol       Date:  2019-05-03       Impact factor: 3.312

2.  Agrobacterium-mediated transformation of promising oil-bearing marine algae Parachlorella kessleri.

Authors:  Jayant Pralhad Rathod; Gunjan Prakash; Reena Pandit; Arvind M Lali
Journal:  Photosynth Res       Date:  2013-10-06       Impact factor: 3.573

  2 in total

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