Fuzzy logic graph approach to elucidate structure-photocatalytic activity of carbon-doped titanium dioxide

The discovery of photocatalytic water splitting of titanium dioxide (TiO2) electrodes by Fujishima and Honda (1972) trigger the extensive study of the structure and the improvement in the performance of TiO2 as photocatalyst in synthetic chemistry and environmental applications. Despite all the adva...

Full description

Saved in:

Bibliographic Details
Main Author:	Omar, Syahira
Format:	Thesis
Language:	English
Published:	2020
Subjects:	Q Science (General)
Online Access:	http://eprints.utm.my/id/eprint/101823/1/SyahiraOmarMFS2020.pdf.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-utm-ep.101823
record_format	uketd_dc
spelling	my-utm-ep.1018232023-07-10T09:31:45Z Fuzzy logic graph approach to elucidate structure-photocatalytic activity of carbon-doped titanium dioxide 2020 Omar, Syahira Q Science (General) The discovery of photocatalytic water splitting of titanium dioxide (TiO2) electrodes by Fujishima and Honda (1972) trigger the extensive study of the structure and the improvement in the performance of TiO2 as photocatalyst in synthetic chemistry and environmental applications. Despite all the advantages provided from TiO2 compared to other semiconductor photocatalysts, its two main concern issues, which are large band gap energy and high recombination rate of photogenerated electrons and holes pairs, restraint its usage in practical applications. Hence, doping TiO2 with non-metal such as carbon is a promising way to modify the properties of TiO2 for the enhancement the photocatalytic performance of TiO2. Although there are many reports about the improvement of TiO2’s photocatalytic activity, the relationship between the structural and physical properties with the photocatalytic activity of carbon-doped TiO2 is still not well evaluated. In this study, a new approach has been proposed to elucidate the structure-photocatalytic activity relationship to better understand the dominant properties that determine the photocatalytic activities of carbon-doped TiO2 which is focusing under UV light system only. Fuzzy Logic Graph with the combination of Fuzzy Inference System modelling has been used as a new approach in determining the dominant factor for the structure-photocatalytic activity relationship of carbon-doped TiO2. The logic of expertise and from repetition of promising data were used. Fuzzy Inference System contains three fundamental steps including fuzzification, rule evaluation and defuzzification. This study includes four main stages which were data collection, development of Fuzzy Logic Controller, construction of Fuzzy Inference System and assessment of the results by sensitivity analysis. Experimental data that was used in this study was collected from experimental results obtained by our research group. To unveil the structure and physical properties-activity relationship, the type of crystalline phases, surface area, crystallite size and electron-hole recombination were chosen as the factors to be analyzed. Fuzzy Logic Graph analysis shows that surface area is a dominant factor for photocatalytic activity of carbon-doped TiO2, it is followed by rate of electron-hole recombination, phase and crystallite size. To summarize, with the help of Fuzzy Logic Controller, the structure physical properties activity relationship of carbon-doped TiO2 can be evaluated to show which factors that were responsible for the photocatalytic activity of carbon-doped TiO2. Although we used the limited source of experimental data to elucidate the physicochemical-photocatalytic properties relationship of carbon-doped TiO2, the correlation was successfully described in detail using Fuzzy Logic Graph. 2020 Thesis http://eprints.utm.my/id/eprint/101823/ http://eprints.utm.my/id/eprint/101823/1/SyahiraOmarMFS2020.pdf.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:146231 masters Universiti Teknologi Malaysia Faculty of Science
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	Q Science (General)
spellingShingle	Q Science (General) Omar, Syahira Fuzzy logic graph approach to elucidate structure-photocatalytic activity of carbon-doped titanium dioxide
description	The discovery of photocatalytic water splitting of titanium dioxide (TiO2) electrodes by Fujishima and Honda (1972) trigger the extensive study of the structure and the improvement in the performance of TiO2 as photocatalyst in synthetic chemistry and environmental applications. Despite all the advantages provided from TiO2 compared to other semiconductor photocatalysts, its two main concern issues, which are large band gap energy and high recombination rate of photogenerated electrons and holes pairs, restraint its usage in practical applications. Hence, doping TiO2 with non-metal such as carbon is a promising way to modify the properties of TiO2 for the enhancement the photocatalytic performance of TiO2. Although there are many reports about the improvement of TiO2’s photocatalytic activity, the relationship between the structural and physical properties with the photocatalytic activity of carbon-doped TiO2 is still not well evaluated. In this study, a new approach has been proposed to elucidate the structure-photocatalytic activity relationship to better understand the dominant properties that determine the photocatalytic activities of carbon-doped TiO2 which is focusing under UV light system only. Fuzzy Logic Graph with the combination of Fuzzy Inference System modelling has been used as a new approach in determining the dominant factor for the structure-photocatalytic activity relationship of carbon-doped TiO2. The logic of expertise and from repetition of promising data were used. Fuzzy Inference System contains three fundamental steps including fuzzification, rule evaluation and defuzzification. This study includes four main stages which were data collection, development of Fuzzy Logic Controller, construction of Fuzzy Inference System and assessment of the results by sensitivity analysis. Experimental data that was used in this study was collected from experimental results obtained by our research group. To unveil the structure and physical properties-activity relationship, the type of crystalline phases, surface area, crystallite size and electron-hole recombination were chosen as the factors to be analyzed. Fuzzy Logic Graph analysis shows that surface area is a dominant factor for photocatalytic activity of carbon-doped TiO2, it is followed by rate of electron-hole recombination, phase and crystallite size. To summarize, with the help of Fuzzy Logic Controller, the structure physical properties activity relationship of carbon-doped TiO2 can be evaluated to show which factors that were responsible for the photocatalytic activity of carbon-doped TiO2. Although we used the limited source of experimental data to elucidate the physicochemical-photocatalytic properties relationship of carbon-doped TiO2, the correlation was successfully described in detail using Fuzzy Logic Graph.
format	Thesis
qualification_level	Master's degree
author	Omar, Syahira
author_facet	Omar, Syahira
author_sort	Omar, Syahira
title	Fuzzy logic graph approach to elucidate structure-photocatalytic activity of carbon-doped titanium dioxide
title_short	Fuzzy logic graph approach to elucidate structure-photocatalytic activity of carbon-doped titanium dioxide
title_full	Fuzzy logic graph approach to elucidate structure-photocatalytic activity of carbon-doped titanium dioxide
title_fullStr	Fuzzy logic graph approach to elucidate structure-photocatalytic activity of carbon-doped titanium dioxide
title_full_unstemmed	Fuzzy logic graph approach to elucidate structure-photocatalytic activity of carbon-doped titanium dioxide
title_sort	fuzzy logic graph approach to elucidate structure-photocatalytic activity of carbon-doped titanium dioxide
granting_institution	Universiti Teknologi Malaysia
granting_department	Faculty of Science
publishDate	2020
url	http://eprints.utm.my/id/eprint/101823/1/SyahiraOmarMFS2020.pdf.pdf
_version_	1776100780095307776

Fuzzy logic graph approach to elucidate structure-photocatalytic activity of carbon-doped titanium dioxide

Similar Items