Evaluation of ignitable liquid residue adsorption on multiple activated carbon devices for forensic fire debris analysis

Fire investigations play a pivotal role in uncovering the causes and origins of fire incidents, vital for the administration of justice and fire prevention. Central to these investigations is the analysis of fire debris, which involves detecting and identifying ignitable liquid residues (ILRs). Curr...

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Main Author:	Rahman, Syamilah Abdul
Format:	Thesis
Language:	English
Published:	2023
Subjects:	R Medicine
Online Access:	http://eprints.usm.my/60221/1/SYAMILAH%20BINTI%20ABDUL%20RAHMAN-E.pdf
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id	my-usm-ep.60221
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spelling	my-usm-ep.602212024-03-19T06:45:24Z Evaluation of ignitable liquid residue adsorption on multiple activated carbon devices for forensic fire debris analysis 2023-09 Rahman, Syamilah Abdul R Medicine RA1001 Forensic Medicine. Medical jurisprudence. Legal medicine Fire investigations play a pivotal role in uncovering the causes and origins of fire incidents, vital for the administration of justice and fire prevention. Central to these investigations is the analysis of fire debris, which involves detecting and identifying ignitable liquid residues (ILRs). Current practices employ various methods for ILR collection, including sterile cotton swabs and activated carbon strips. However, these methods present limitations, such as incomplete ILR recovery and high acquisition costs. This study addresses these challenges by comprehensively evaluating multiple activated carbon (AC) devices as potential alternatives for ILR adsorption. Several factors such as sampling time and sampling surface were manipulated to assess the performance of the AC devices. By doing so, it aims to identify the most efficient and cost-effective AC device for ILR collection, contributing to the enhancement of forensic fire debris analysis. Among the evaluated AC devices, AC cloth stands out due to its remarkable performance. Physical characterization revealed that AC cloth possesses the highest surface area, which results in an exceptional adsorption capacity. Furthermore, GC-MS analysis demonstrated its remarkable efficacy in ILR adsorption, particularly on porous surfaces like wood. Additionally, the results of GC-MS analysis highlighted AC cloth's consistent ability to adsorb volatile organic compounds (VOCs) of gasoline across various sampling durations, ranging from 0.5 to 48 hours. These findings underscore AC cloth as a promising candidate for ILR adsorption in forensic fire debris analysis, offering high surface area and versatility across different sampling conditions. 2023-09 Thesis http://eprints.usm.my/60221/ http://eprints.usm.my/60221/1/SYAMILAH%20BINTI%20ABDUL%20RAHMAN-E.pdf application/pdf en public masters Universiti Sains Malaysia Pusat Pengajian Sains Kesihatan
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	R Medicine R Medicine
spellingShingle	R Medicine R Medicine Rahman, Syamilah Abdul Evaluation of ignitable liquid residue adsorption on multiple activated carbon devices for forensic fire debris analysis
description	Fire investigations play a pivotal role in uncovering the causes and origins of fire incidents, vital for the administration of justice and fire prevention. Central to these investigations is the analysis of fire debris, which involves detecting and identifying ignitable liquid residues (ILRs). Current practices employ various methods for ILR collection, including sterile cotton swabs and activated carbon strips. However, these methods present limitations, such as incomplete ILR recovery and high acquisition costs. This study addresses these challenges by comprehensively evaluating multiple activated carbon (AC) devices as potential alternatives for ILR adsorption. Several factors such as sampling time and sampling surface were manipulated to assess the performance of the AC devices. By doing so, it aims to identify the most efficient and cost-effective AC device for ILR collection, contributing to the enhancement of forensic fire debris analysis. Among the evaluated AC devices, AC cloth stands out due to its remarkable performance. Physical characterization revealed that AC cloth possesses the highest surface area, which results in an exceptional adsorption capacity. Furthermore, GC-MS analysis demonstrated its remarkable efficacy in ILR adsorption, particularly on porous surfaces like wood. Additionally, the results of GC-MS analysis highlighted AC cloth's consistent ability to adsorb volatile organic compounds (VOCs) of gasoline across various sampling durations, ranging from 0.5 to 48 hours. These findings underscore AC cloth as a promising candidate for ILR adsorption in forensic fire debris analysis, offering high surface area and versatility across different sampling conditions.
format	Thesis
qualification_level	Master's degree
author	Rahman, Syamilah Abdul
author_facet	Rahman, Syamilah Abdul
author_sort	Rahman, Syamilah Abdul
title	Evaluation of ignitable liquid residue adsorption on multiple activated carbon devices for forensic fire debris analysis
title_short	Evaluation of ignitable liquid residue adsorption on multiple activated carbon devices for forensic fire debris analysis
title_full	Evaluation of ignitable liquid residue adsorption on multiple activated carbon devices for forensic fire debris analysis
title_fullStr	Evaluation of ignitable liquid residue adsorption on multiple activated carbon devices for forensic fire debris analysis
title_full_unstemmed	Evaluation of ignitable liquid residue adsorption on multiple activated carbon devices for forensic fire debris analysis
title_sort	evaluation of ignitable liquid residue adsorption on multiple activated carbon devices for forensic fire debris analysis
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Sains Kesihatan
publishDate	2023
url	http://eprints.usm.my/60221/1/SYAMILAH%20BINTI%20ABDUL%20RAHMAN-E.pdf
_version_	1794024109407993856

Evaluation of ignitable liquid residue adsorption on multiple activated carbon devices for forensic fire debris analysis

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