Performance of amidoxime-modified poly(acrylonitrile- Co-acrylic acid) for removal of boron in aqueous solution

Boron is an essential micronutrient for plants, humans and animals, which is also an important component in various industries. Along with the wide spread of boron application, more boron waste pollutes the water sources, and leads to a series of environment and health...

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Main Author:	Lau, Kia Li
Format:	Thesis
Language:	English
Published:	2019
Subjects:	Boron compounds Boron - Biotechnology
Online Access:	http://psasir.upm.edu.my/id/eprint/84252/1/FK%202019%20102%20-%20ir.pdf
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spelling	my-upm-ir.842522022-01-04T01:57:16Z Performance of amidoxime-modified poly(acrylonitrile- Co-acrylic acid) for removal of boron in aqueous solution 2019-08 Lau, Kia Li Boron is an essential micronutrient for plants, humans and animals, which is also an important component in various industries. Along with the wide spread of boron application, more boron waste pollutes the water sources, and leads to a series of environment and health problems. Adsorption is the most efficient technique among many boron removal technologies; which can treat solutions containing a very low concentration of boron. This project aimed to produce amidoxime-modified poly(acrylonitrile-co-acrylic acid) (AO-modified poly(AN-co-AA)) with optimised method and to investigate the performance of AO-modified poly(AN-co-AA) on the adsorption of boron ions in batch operation. Batch adsorption was conducted at the physiochemical parameters of pH, adsorbent dosage and initial boron concentration. The isotherms and kinetics of adsorption data were studied at various initial boron concentration. Meanwhile, the Artificial Neural Network (ANN) was simulated from experimental data and applied to optimize, develop and create prediction models for boron adsorption by AO-modified poly(AN-co-AA). As a result, the optimised synthesis method at 55 ºC gave yield of 77% and the conversion of nitrile group to amidoxime at pH = 8 was 78%. The optimal operating condition for boron batch adsorption were determined as initial pH ≈ 7. Besides, the process reached its equilibrium at adsorbent dosage of 4.2 g/L and initial concentration of 41 mg/L. The best fit model for adsorption isotherm was Sips model with heterogeneity factor (n) = 0.7611. In kinetic study, the adsorption data was well fitted in Pseudo-second order equation with equilibrium rate constant (k2) = 0.0807 ± 0.0112 g. mg−¹.min−¹. In modelling section, both feed-forward and recurrent artificial neural network (ANN) have been simulated to predict the adsorption potential of synthesised polymer. Among several models, radial basis function (RBF) with orthogonal least square (OLS) algorithm displays good prediction on boron adsorption behaviour with mean square error (MSE) and coefficient of determination (R²) at 0.000209 and 0.9985, respectively. The adsorption equilibrium is reached within 57 min with the maximum adsorption capacity at 15.23 ± 1.05 mg/g. The results indicate that the AO-modified poly(AN-co-AA) is a potential and effective adsorbent for boron removal from aqueous solution. Boron compounds Boron - Biotechnology 2019-08 Thesis http://psasir.upm.edu.my/id/eprint/84252/ http://psasir.upm.edu.my/id/eprint/84252/1/FK%202019%20102%20-%20ir.pdf text en public masters Universiti Putra Malaysia Boron compounds Boron - Biotechnology Abdullah, Luqman Chuah
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English
advisor	Abdullah, Luqman Chuah
topic	Boron compounds Boron - Biotechnology
spellingShingle	Boron compounds Boron - Biotechnology Lau, Kia Li Performance of amidoxime-modified poly(acrylonitrile- Co-acrylic acid) for removal of boron in aqueous solution
description	Boron is an essential micronutrient for plants, humans and animals, which is also an important component in various industries. Along with the wide spread of boron application, more boron waste pollutes the water sources, and leads to a series of environment and health problems. Adsorption is the most efficient technique among many boron removal technologies; which can treat solutions containing a very low concentration of boron. This project aimed to produce amidoxime-modified poly(acrylonitrile-co-acrylic acid) (AO-modified poly(AN-co-AA)) with optimised method and to investigate the performance of AO-modified poly(AN-co-AA) on the adsorption of boron ions in batch operation. Batch adsorption was conducted at the physiochemical parameters of pH, adsorbent dosage and initial boron concentration. The isotherms and kinetics of adsorption data were studied at various initial boron concentration. Meanwhile, the Artificial Neural Network (ANN) was simulated from experimental data and applied to optimize, develop and create prediction models for boron adsorption by AO-modified poly(AN-co-AA). As a result, the optimised synthesis method at 55 ºC gave yield of 77% and the conversion of nitrile group to amidoxime at pH = 8 was 78%. The optimal operating condition for boron batch adsorption were determined as initial pH ≈ 7. Besides, the process reached its equilibrium at adsorbent dosage of 4.2 g/L and initial concentration of 41 mg/L. The best fit model for adsorption isotherm was Sips model with heterogeneity factor (n) = 0.7611. In kinetic study, the adsorption data was well fitted in Pseudo-second order equation with equilibrium rate constant (k2) = 0.0807 ± 0.0112 g. mg−¹.min−¹. In modelling section, both feed-forward and recurrent artificial neural network (ANN) have been simulated to predict the adsorption potential of synthesised polymer. Among several models, radial basis function (RBF) with orthogonal least square (OLS) algorithm displays good prediction on boron adsorption behaviour with mean square error (MSE) and coefficient of determination (R²) at 0.000209 and 0.9985, respectively. The adsorption equilibrium is reached within 57 min with the maximum adsorption capacity at 15.23 ± 1.05 mg/g. The results indicate that the AO-modified poly(AN-co-AA) is a potential and effective adsorbent for boron removal from aqueous solution.
format	Thesis
qualification_level	Master's degree
author	Lau, Kia Li
author_facet	Lau, Kia Li
author_sort	Lau, Kia Li
title	Performance of amidoxime-modified poly(acrylonitrile- Co-acrylic acid) for removal of boron in aqueous solution
title_short	Performance of amidoxime-modified poly(acrylonitrile- Co-acrylic acid) for removal of boron in aqueous solution
title_full	Performance of amidoxime-modified poly(acrylonitrile- Co-acrylic acid) for removal of boron in aqueous solution
title_fullStr	Performance of amidoxime-modified poly(acrylonitrile- Co-acrylic acid) for removal of boron in aqueous solution
title_full_unstemmed	Performance of amidoxime-modified poly(acrylonitrile- Co-acrylic acid) for removal of boron in aqueous solution
title_sort	performance of amidoxime-modified poly(acrylonitrile- co-acrylic acid) for removal of boron in aqueous solution
granting_institution	Universiti Putra Malaysia
publishDate	2019
url	http://psasir.upm.edu.my/id/eprint/84252/1/FK%202019%20102%20-%20ir.pdf
_version_	1747813458071519232

Performance of amidoxime-modified poly(acrylonitrile- Co-acrylic acid) for removal of boron in aqueous solution

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