Performance evaluation of treated adsorbents derived from agricultural waste towards adsortion of azo dyes

Access is limited to UniMAP community.

Saved in:
Bibliographic Details
Main Author: Asraff, Zainudin
Other Authors: Dr. Ong Soon An
Format: Learning Object
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2012
Subjects:
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/19595
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimap-19595
record_format dspace
spelling my.unimap-195952012-06-02T06:38:52Z Performance evaluation of treated adsorbents derived from agricultural waste towards adsortion of azo dyes Asraff, Zainudin Dr. Ong Soon An Wastewaters Azo dyes Freundlich isotherm model Waste biomass Acid orange 7 (AO7) Coconut coir Access is limited to UniMAP community. Wastewaters generated from the industries contain large amounts of azo dyes which, owning to their non-biodegradability, toxicity and potential carcinogenic nature, constitute a major threat to the surrounding ecosystem. In this study I used coconut coir (waste biomass) as a raw material to produce potential adsorbent in adsorption of azo dyes. Three samples of adsorbent prepared through physical and chemical treatment; raw, treated and pyrolysed being compared to evaluate their adsorption performance. Batch mode experiments were conducted to assess the potential for the removal of Methylene blue and Acid orange 7 dyes from aqueous solution model using the above adsorbent. Sorption isotherm and kinetic studies have been done by varying the parameters like initial concentration of dyes solution, and varying the contact time. The Langmuir isotherm model shows maximum adsorption capacity (qm) for MB is higher than AO7. Chemical treatment sample shows better qm followed by pyrolysed and raw. Freundlich isotherm model shows 1/n for both MB and AO7 are favorable for adsorption except for raw sample. The Lagergren kinetic model shows R2 for pyrolyed sample is better than treated followed by raw sample. While Pseudo second order shows R2 for all samples is better than Lagergren result. The pyrolysed sample was characterized by Scanning Electron Microscope (SEM) and Brunauer–Emmett–Teller (BET). 2012-06-02T06:38:52Z 2012-06-02T06:38:52Z 2011-04 Learning Object http://hdl.handle.net/123456789/19595 en Universiti Malaysia Perlis (UniMAP) School of Environmental Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Wastewaters
Azo dyes
Freundlich isotherm model
Waste biomass
Acid orange 7 (AO7)
Coconut coir
spellingShingle Wastewaters
Azo dyes
Freundlich isotherm model
Waste biomass
Acid orange 7 (AO7)
Coconut coir
Asraff, Zainudin
Performance evaluation of treated adsorbents derived from agricultural waste towards adsortion of azo dyes
description Access is limited to UniMAP community.
author2 Dr. Ong Soon An
author_facet Dr. Ong Soon An
Asraff, Zainudin
format Learning Object
author Asraff, Zainudin
author_sort Asraff, Zainudin
title Performance evaluation of treated adsorbents derived from agricultural waste towards adsortion of azo dyes
title_short Performance evaluation of treated adsorbents derived from agricultural waste towards adsortion of azo dyes
title_full Performance evaluation of treated adsorbents derived from agricultural waste towards adsortion of azo dyes
title_fullStr Performance evaluation of treated adsorbents derived from agricultural waste towards adsortion of azo dyes
title_full_unstemmed Performance evaluation of treated adsorbents derived from agricultural waste towards adsortion of azo dyes
title_sort performance evaluation of treated adsorbents derived from agricultural waste towards adsortion of azo dyes
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/19595
_version_ 1643792760008867840
score 13.214268