Metabolite profiling of leaves and branch of Aquilaria sp.

Aquilaria or more famously known as agarwood is one of the most valuable wood in the world. When infected, the tree produces dark resinous, fragrant heartwood that is used in perfumes and cosmetics. Agarwood is also known for its medicinal properties such as wound healing, relieving a cold or cough...

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Main Authors:	Mohamed Azmin, Nor Fadhillah, Sheerin, Hamnah, Hashim, Yumi Zuhanis Has-Yun, Rosley, Nur Fatihah Nabilah
Format:	Conference or Workshop Item
Language:	English
Published:	Kulliyyah of Engineering, International Islamic University Malaysia 2018
Subjects:	TP248.13 Biotechnology
Online Access:	http://irep.iium.edu.my/71359/ http://irep.iium.edu.my/71359/ http://irep.iium.edu.my/71359/1/71359_Metabolite%20Profiling%20of%20Leaves.pdf

id	iium-71359
recordtype	eprints
spelling	iium-713592019-04-03T00:57:45Z http://irep.iium.edu.my/71359/ Metabolite profiling of leaves and branch of Aquilaria sp. Mohamed Azmin, Nor Fadhillah Sheerin, Hamnah Hashim, Yumi Zuhanis Has-Yun Rosley, Nur Fatihah Nabilah TP248.13 Biotechnology Aquilaria or more famously known as agarwood is one of the most valuable wood in the world. When infected, the tree produces dark resinous, fragrant heartwood that is used in perfumes and cosmetics. Agarwood is also known for its medicinal properties such as wound healing, relieving a cold or cough and being a potential anti-cancer agent. However, the full extent of the characterization in agarwood is very limited for such a valuable tree. A multivariate statistical technique known as Multiway Principal Component Analysis (MPCA) is utilized to unmask the underlying patterns in the dataset. The dataset comprises of 24 samples that comes from the leaf and branch of three different Agarwood species; crassna, malaccensis and subintegra, both infected and non-infected. The samples contain mass-to-charge ratio and abundance of each metabolite, obtained from Ultra High Performance Liquid Chromatography - Mass Spectrometry (UHPLC-MS). The result of MPCA obtained concluded that A. malaccensis and A. crassna are most similar to each other. A. Crassna was the most unique, having also both the leaf and branch be very different from each other. Whether the tree was infected or non-infected, it had very little influence in terms of the metabolites. This conclusion seems reasonable as subintegra can only be grown in Thailand while malaccensis and crassna can be grown in most part of Southeast Asia. MPCA is a useful tool to reduce the dimensions of the data and make it easier to visualize. Kulliyyah of Engineering, International Islamic University Malaysia 2018-09 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/71359/1/71359_Metabolite%20Profiling%20of%20Leaves.pdf Mohamed Azmin, Nor Fadhillah and Sheerin, Hamnah and Hashim, Yumi Zuhanis Has-Yun and Rosley, Nur Fatihah Nabilah (2018) Metabolite profiling of leaves and branch of Aquilaria sp. In: 5th International Conference on Biotechnology Engineering (ICBioE 2018), 19th-20th September 2018, Kuala Lumpur. http://www.iium.edu.my/icbioe/2018/
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TP248.13 Biotechnology
spellingShingle	TP248.13 Biotechnology Mohamed Azmin, Nor Fadhillah Sheerin, Hamnah Hashim, Yumi Zuhanis Has-Yun Rosley, Nur Fatihah Nabilah Metabolite profiling of leaves and branch of Aquilaria sp.
description	Aquilaria or more famously known as agarwood is one of the most valuable wood in the world. When infected, the tree produces dark resinous, fragrant heartwood that is used in perfumes and cosmetics. Agarwood is also known for its medicinal properties such as wound healing, relieving a cold or cough and being a potential anti-cancer agent. However, the full extent of the characterization in agarwood is very limited for such a valuable tree. A multivariate statistical technique known as Multiway Principal Component Analysis (MPCA) is utilized to unmask the underlying patterns in the dataset. The dataset comprises of 24 samples that comes from the leaf and branch of three different Agarwood species; crassna, malaccensis and subintegra, both infected and non-infected. The samples contain mass-to-charge ratio and abundance of each metabolite, obtained from Ultra High Performance Liquid Chromatography - Mass Spectrometry (UHPLC-MS). The result of MPCA obtained concluded that A. malaccensis and A. crassna are most similar to each other. A. Crassna was the most unique, having also both the leaf and branch be very different from each other. Whether the tree was infected or non-infected, it had very little influence in terms of the metabolites. This conclusion seems reasonable as subintegra can only be grown in Thailand while malaccensis and crassna can be grown in most part of Southeast Asia. MPCA is a useful tool to reduce the dimensions of the data and make it easier to visualize.
format	Conference or Workshop Item
author	Mohamed Azmin, Nor Fadhillah Sheerin, Hamnah Hashim, Yumi Zuhanis Has-Yun Rosley, Nur Fatihah Nabilah
author_facet	Mohamed Azmin, Nor Fadhillah Sheerin, Hamnah Hashim, Yumi Zuhanis Has-Yun Rosley, Nur Fatihah Nabilah
author_sort	Mohamed Azmin, Nor Fadhillah
title	Metabolite profiling of leaves and branch of Aquilaria sp.
title_short	Metabolite profiling of leaves and branch of Aquilaria sp.
title_full	Metabolite profiling of leaves and branch of Aquilaria sp.
title_fullStr	Metabolite profiling of leaves and branch of Aquilaria sp.
title_full_unstemmed	Metabolite profiling of leaves and branch of Aquilaria sp.
title_sort	metabolite profiling of leaves and branch of aquilaria sp.
publisher	Kulliyyah of Engineering, International Islamic University Malaysia
publishDate	2018
url	http://irep.iium.edu.my/71359/ http://irep.iium.edu.my/71359/ http://irep.iium.edu.my/71359/1/71359_Metabolite%20Profiling%20of%20Leaves.pdf
first_indexed	2023-09-18T21:41:12Z
last_indexed	2023-09-18T21:41:12Z
_version_	1777413152153010176

Metabolite profiling of leaves and branch of Aquilaria sp.

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