Cover Image

Removal of heavy metal ions from aqueous solutions using lignocellulosic wastes derived from selected tree barks

Lead, copper and nickel are heavy metals, which are hazardous in high concentration not only to our environment but also to human beings. Treatment methods for heavy metal pollution were developed using various bark samples. In this study, bark samples of Acacia mangium, Shorea sp. (Light Red...

Full description

Saved in:
Bibliographic Details
Main Author: Tiong,, Pei Jen
Format: Final Year Project Report
Language:English
Published: Universiti Malaysia Sarawak, (UNIMAS) 2004
Subjects:
QD Chemistry
Online Access:http://ir.unimas.my/id/eprint/46854/1/Tiong%20Pei%20Jen.pdf
http://ir.unimas.my/id/eprint/46854/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimas.ir-46854
record_format eprints
spelling my.unimas.ir-468542024-12-09T09:10:20Z http://ir.unimas.my/id/eprint/46854/ Removal of heavy metal ions from aqueous solutions using lignocellulosic wastes derived from selected tree barks Tiong,, Pei Jen QD Chemistry Lead, copper and nickel are heavy metals, which are hazardous in high concentration not only to our environment but also to human beings. Treatment methods for heavy metal pollution were developed using various bark samples. In this study, bark samples of Acacia mangium, Shorea sp. (Light Red Meranti), and Bruguiera cylindrica, were characterised chemically and physically and used for the removal of lead, copper and nickel ions from aqueous solutions. Different bark samples showed considerable variations in their adsorption capacity for various heavy metal ions. Of all bark samples tested, high adsorption capacity of lead metal ions was demonstrated. Batch equilibrium experiment results showed that the highest removal efficiency was 93.86% for lead, 72.80% for copper, and 34.97% for nickel. The highest removal efficiency for lead and copper ions was obtained using bark of Shorea sp. whereas that for nickel was obtained by bark of Bruguiera cylindrica. Metal adsorption capacities by various bark samples were observed to be affected in various extents by the particle size of the adsorbents, the pH of metal solutions and also the initial metal ion concentrations in solutions. The continuous column experiments indicated that the packed bed was able to retain up to 3.97 mg Pb`+/g adsorbent, 3.99 mg Nit+/g adsorbent and 4.00 mg Cue+/g adsorbent for all the bark samples studied. Results showed that lignocellulosic wastes derived from tree bark samples possess high potential to be used as cheap and effective heavy metal ions adsorbents suitable for wastewater treatment. Universiti Malaysia Sarawak, (UNIMAS) 2004 Final Year Project Report NonPeerReviewed text en http://ir.unimas.my/id/eprint/46854/1/Tiong%20Pei%20Jen.pdf Tiong,, Pei Jen (2004) Removal of heavy metal ions from aqueous solutions using lignocellulosic wastes derived from selected tree barks. [Final Year Project Report] (Unpublished)
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic QD Chemistry
spellingShingle QD Chemistry
Tiong,, Pei Jen
Removal of heavy metal ions from aqueous solutions using lignocellulosic wastes derived from selected tree barks
description Lead, copper and nickel are heavy metals, which are hazardous in high concentration not only to our environment but also to human beings. Treatment methods for heavy metal pollution were developed using various bark samples. In this study, bark samples of Acacia mangium, Shorea sp. (Light Red Meranti), and Bruguiera cylindrica, were characterised chemically and physically and used for the removal of lead, copper and nickel ions from aqueous solutions. Different bark samples showed considerable variations in their adsorption capacity for various heavy metal ions. Of all bark samples tested, high adsorption capacity of lead metal ions was demonstrated. Batch equilibrium experiment results showed that the highest removal efficiency was 93.86% for lead, 72.80% for copper, and 34.97% for nickel. The highest removal efficiency for lead and copper ions was obtained using bark of Shorea sp. whereas that for nickel was obtained by bark of Bruguiera cylindrica. Metal adsorption capacities by various bark samples were observed to be affected in various extents by the particle size of the adsorbents, the pH of metal solutions and also the initial metal ion concentrations in solutions. The continuous column experiments indicated that the packed bed was able to retain up to 3.97 mg Pb`+/g adsorbent, 3.99 mg Nit+/g adsorbent and 4.00 mg Cue+/g adsorbent for all the bark samples studied. Results showed that lignocellulosic wastes derived from tree bark samples possess high potential to be used as cheap and effective heavy metal ions adsorbents suitable for wastewater treatment.
format Final Year Project Report
author Tiong,, Pei Jen
author_facet Tiong,, Pei Jen
author_sort Tiong,, Pei Jen
title Removal of heavy metal ions from aqueous solutions using lignocellulosic wastes derived from selected tree barks
title_short Removal of heavy metal ions from aqueous solutions using lignocellulosic wastes derived from selected tree barks
title_full Removal of heavy metal ions from aqueous solutions using lignocellulosic wastes derived from selected tree barks
title_fullStr Removal of heavy metal ions from aqueous solutions using lignocellulosic wastes derived from selected tree barks
title_full_unstemmed Removal of heavy metal ions from aqueous solutions using lignocellulosic wastes derived from selected tree barks
title_sort removal of heavy metal ions from aqueous solutions using lignocellulosic wastes derived from selected tree barks
publisher Universiti Malaysia Sarawak, (UNIMAS)
publishDate 2004
url http://ir.unimas.my/id/eprint/46854/1/Tiong%20Pei%20Jen.pdf
http://ir.unimas.my/id/eprint/46854/
_version_ 1818839388665151488
score 13.223943

Similar Items