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Modelling the Kinetics of Tartrazine Sorption by Bottom Ash

Bottom ash is the solid residue left over from municipal waste combustion or incineration in a Municipal Waste Incineration Furnace. Its use as a sorption agent, particularly for dye sorption, is a new and important application. Linearized adsorption kinetics has drawbacks such as inaccurate represe...

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Main Authors:	Nur Adeela Yasid, Ain Aqilah Basirun, d Hartinie Marbawi2
Format:	Article
Language:	English English
Published:	Hibiscus publisher enterprise 2022
Subjects:	QD450-801 Physical and theoretical chemistry TA329-348 Engineering mathematics. Engineering analysis
Online Access:	https://eprints.ums.edu.my/id/eprint/36073/1/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/36073/2/FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/36073/ https://doi.org/10.54987/jemat.v10i2.773
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spelling	my.ums.eprints.360732023-07-20T01:33:25Z https://eprints.ums.edu.my/id/eprint/36073/ Modelling the Kinetics of Tartrazine Sorption by Bottom Ash Nur Adeela Yasid Ain Aqilah Basirun d Hartinie Marbawi2 QD450-801 Physical and theoretical chemistry TA329-348 Engineering mathematics. Engineering analysis Bottom ash is the solid residue left over from municipal waste combustion or incineration in a Municipal Waste Incineration Furnace. Its use as a sorption agent, particularly for dye sorption, is a new and important application. Linearized adsorption kinetics has drawbacks such as inaccurate representation of the parameters' 95 percent confidence interval output, unbalanced attention to potential outliers, and magnification of errors may result in inaccurate parameter values. In this study, we used nonlinear regression to investigate 16 adsorption kinetics models of tartrazine by bottom ash. The pseudo-second order was the best model based on the Bias and Accuracy factor near unity, but based on other error function analysis, this model performs equally well with the exponential and fractal-like pseudo-second order based other error functions such as Root-Mean-Square Error (RMSE), adjusted coefficient of determination (adjR2), Marquardt’s percent standard deviation (MPSD), Bayesian Information Criterion (BIC), HannanQuinn Information Criterion (HQC), and especially the corrected Akaike Information Criterion (AICc) function as the absolute difference is 5 absolute unit making discriminatory activity difficult. Furthermore, because the pseudo-second order and exponential models have only two parameters, they are less complicated according to Occam's razor. Because the pseudo-second order model is more popular and has more applications than the less well-known exponential model, we chose it as the best model for tartrazine sorption to bottom ash. Kinetic analysis using the PSO model gave a value of equilibrium adsorption capacity, qe of 21.88 mg g-1 (95% confidence interval (C.I.), 20.93 to 22.84) and k2 (g/(mg.sec)) of 0.00002 (95%, C.I., 0.00001 to 0.00002) Hibiscus publisher enterprise 2022 Article NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/36073/1/ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/36073/2/FULL%20TEXT.pdf Nur Adeela Yasid and Ain Aqilah Basirun and d Hartinie Marbawi2 (2022) Modelling the Kinetics of Tartrazine Sorption by Bottom Ash. Journal of environmental microbiology And toxicology, 10 (2). pp. 1-11. https://doi.org/10.54987/jemat.v10i2.773
institution	Universiti Malaysia Sabah
building	UMS Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Sabah
content_source	UMS Institutional Repository
url_provider	http://eprints.ums.edu.my/
language	English English
topic	QD450-801 Physical and theoretical chemistry TA329-348 Engineering mathematics. Engineering analysis
spellingShingle	QD450-801 Physical and theoretical chemistry TA329-348 Engineering mathematics. Engineering analysis Nur Adeela Yasid Ain Aqilah Basirun d Hartinie Marbawi2 Modelling the Kinetics of Tartrazine Sorption by Bottom Ash
description	Bottom ash is the solid residue left over from municipal waste combustion or incineration in a Municipal Waste Incineration Furnace. Its use as a sorption agent, particularly for dye sorption, is a new and important application. Linearized adsorption kinetics has drawbacks such as inaccurate representation of the parameters' 95 percent confidence interval output, unbalanced attention to potential outliers, and magnification of errors may result in inaccurate parameter values. In this study, we used nonlinear regression to investigate 16 adsorption kinetics models of tartrazine by bottom ash. The pseudo-second order was the best model based on the Bias and Accuracy factor near unity, but based on other error function analysis, this model performs equally well with the exponential and fractal-like pseudo-second order based other error functions such as Root-Mean-Square Error (RMSE), adjusted coefficient of determination (adjR2), Marquardt’s percent standard deviation (MPSD), Bayesian Information Criterion (BIC), HannanQuinn Information Criterion (HQC), and especially the corrected Akaike Information Criterion (AICc) function as the absolute difference is 5 absolute unit making discriminatory activity difficult. Furthermore, because the pseudo-second order and exponential models have only two parameters, they are less complicated according to Occam's razor. Because the pseudo-second order model is more popular and has more applications than the less well-known exponential model, we chose it as the best model for tartrazine sorption to bottom ash. Kinetic analysis using the PSO model gave a value of equilibrium adsorption capacity, qe of 21.88 mg g-1 (95% confidence interval (C.I.), 20.93 to 22.84) and k2 (g/(mg.sec)) of 0.00002 (95%, C.I., 0.00001 to 0.00002)
format	Article
author	Nur Adeela Yasid Ain Aqilah Basirun d Hartinie Marbawi2
author_facet	Nur Adeela Yasid Ain Aqilah Basirun d Hartinie Marbawi2
author_sort	Nur Adeela Yasid
title	Modelling the Kinetics of Tartrazine Sorption by Bottom Ash
title_short	Modelling the Kinetics of Tartrazine Sorption by Bottom Ash
title_full	Modelling the Kinetics of Tartrazine Sorption by Bottom Ash
title_fullStr	Modelling the Kinetics of Tartrazine Sorption by Bottom Ash
title_full_unstemmed	Modelling the Kinetics of Tartrazine Sorption by Bottom Ash
title_sort	modelling the kinetics of tartrazine sorption by bottom ash
publisher	Hibiscus publisher enterprise
publishDate	2022
url	https://eprints.ums.edu.my/id/eprint/36073/1/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/36073/2/FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/36073/ https://doi.org/10.54987/jemat.v10i2.773
_version_	1772812709972148224
score	13.211869

Modelling the Kinetics of Tartrazine Sorption by Bottom Ash

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