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Optimization of heavy metal removal from leachate using maize leaves and papaya bark as biosorbent

Adsorption process was used to replace the conventional method in removing the heavy metals from leachate. This research was conducted to study the efficiency removal of heavy metals in leachate using treated and untreated of maize leaves and papaya barks. Fourier Transform Infrared Spectrometer (FT...

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Main Author: Fatin Nadzirah Abdul Aziz
Format: Undergraduate Final Project Report
Language:English
Published: 2019
Online Access:http://discol.umk.edu.my/id/eprint/4487/1/FATIN%20NADZIRAH%20BINTI%20ABDUL%20AZIZ.pdf
http://discol.umk.edu.my/id/eprint/4487/
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spelling my.umk.eprints.44872022-05-23T22:01:24Z http://discol.umk.edu.my/id/eprint/4487/ Optimization of heavy metal removal from leachate using maize leaves and papaya bark as biosorbent Fatin Nadzirah Abdul Aziz Adsorption process was used to replace the conventional method in removing the heavy metals from leachate. This research was conducted to study the efficiency removal of heavy metals in leachate using treated and untreated of maize leaves and papaya barks. Fourier Transform Infrared Spectrometer (FTIR) was used to observe the functional groups of adsorbent and for the crystallinity of the adsorbent were characterised using X-ray Diffraction (XRD). The batch studies were optimised: pH, agitation rate, adsorbent dosage, and contact period by using Response Surface Methodology (RSM). The optimum conditions predicted by RSM for treated adsorbent were found at pH 6.67, agitation rate (279.71 rpm), contact period (52.25 min) and adsorbent dosage (6.93 g) that indicated about 99.6236% removal efficiency of heavy metals. Contrarily, optimum parameter for untreated adsorbent are pH (5.50), adsorbent dosage (3.08 g), agitation rate (162.40 rpm), and contact period (52.14 min) which represented 92.322% removal efficiency. Adsorption isotherm was employed to study the adsorption capacity and behaviour of the adsorption. Result showed that for treated adsorbent correlation coefficient, R2 is 0.9981 leads to Freundlich model. Untreated adsorbent followed the Langmuir model with R2 of 0.9969. 2019 Undergraduate Final Project Report NonPeerReviewed text en http://discol.umk.edu.my/id/eprint/4487/1/FATIN%20NADZIRAH%20BINTI%20ABDUL%20AZIZ.pdf Fatin Nadzirah Abdul Aziz (2019) Optimization of heavy metal removal from leachate using maize leaves and papaya bark as biosorbent. Final Year Project thesis, Universiti Malaysia Kelantan. (Submitted)
institution Universiti Malaysia Kelantan
building Perpustakaan Universiti Malaysia Kelantan
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Kelantan
content_source UMK Institutional Repository
url_provider http://umkeprints.umk.edu.my/
language English
description Adsorption process was used to replace the conventional method in removing the heavy metals from leachate. This research was conducted to study the efficiency removal of heavy metals in leachate using treated and untreated of maize leaves and papaya barks. Fourier Transform Infrared Spectrometer (FTIR) was used to observe the functional groups of adsorbent and for the crystallinity of the adsorbent were characterised using X-ray Diffraction (XRD). The batch studies were optimised: pH, agitation rate, adsorbent dosage, and contact period by using Response Surface Methodology (RSM). The optimum conditions predicted by RSM for treated adsorbent were found at pH 6.67, agitation rate (279.71 rpm), contact period (52.25 min) and adsorbent dosage (6.93 g) that indicated about 99.6236% removal efficiency of heavy metals. Contrarily, optimum parameter for untreated adsorbent are pH (5.50), adsorbent dosage (3.08 g), agitation rate (162.40 rpm), and contact period (52.14 min) which represented 92.322% removal efficiency. Adsorption isotherm was employed to study the adsorption capacity and behaviour of the adsorption. Result showed that for treated adsorbent correlation coefficient, R2 is 0.9981 leads to Freundlich model. Untreated adsorbent followed the Langmuir model with R2 of 0.9969.
format Undergraduate Final Project Report
author Fatin Nadzirah Abdul Aziz
spellingShingle Fatin Nadzirah Abdul Aziz
Optimization of heavy metal removal from leachate using maize leaves and papaya bark as biosorbent
author_facet Fatin Nadzirah Abdul Aziz
author_sort Fatin Nadzirah Abdul Aziz
title Optimization of heavy metal removal from leachate using maize leaves and papaya bark as biosorbent
title_short Optimization of heavy metal removal from leachate using maize leaves and papaya bark as biosorbent
title_full Optimization of heavy metal removal from leachate using maize leaves and papaya bark as biosorbent
title_fullStr Optimization of heavy metal removal from leachate using maize leaves and papaya bark as biosorbent
title_full_unstemmed Optimization of heavy metal removal from leachate using maize leaves and papaya bark as biosorbent
title_sort optimization of heavy metal removal from leachate using maize leaves and papaya bark as biosorbent
publishDate 2019
url http://discol.umk.edu.my/id/eprint/4487/1/FATIN%20NADZIRAH%20BINTI%20ABDUL%20AZIZ.pdf
http://discol.umk.edu.my/id/eprint/4487/
_version_ 1763303421031481344
score 13.223943

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