Metabolite profiling of Scenedesmus regularis using Nuclear Magnetic Resonance (NMR)

Metabolite profiling of Scenedesmus regularis using Nuclear Magnetic Resonance (NMR)

Metabolites represent the end product of gene function and it reflects direct response of cells under certain conditions. Hence, metabolite profiling has become a powerful tool in examination of plant cell’s response under certain conditions either in vitro or from tissue extract. This study aims...

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Main Authors: Nyuk, Ling Ma, Teh, Kit Yinn, Aziz Ahmad, Lam, Su Shiung, Shahidur Ashraf Saidon, Mohd Naqiuddin Husri, Cha, Thye San
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2019
Online Access:http://journalarticle.ukm.my/12786/
http://journalarticle.ukm.my/12786/
http://journalarticle.ukm.my/12786/1/48_01_17.pdf
id ukm-12786
recordtype eprints
spelling ukm-127862019-04-16T09:00:01Z http://journalarticle.ukm.my/12786/ Metabolite profiling of Scenedesmus regularis using Nuclear Magnetic Resonance (NMR) Nyuk, Ling Ma Teh, Kit Yinn Aziz Ahmad, Lam, Su Shiung Shahidur Ashraf Saidon, Mohd Naqiuddin Husri, Cha, Thye San Metabolites represent the end product of gene function and it reflects direct response of cells under certain conditions. Hence, metabolite profiling has become a powerful tool in examination of plant cell’s response under certain conditions either in vitro or from tissue extract. This study aims to demonstrate how metabolite fingerprinting in microalgae in unfractionated extract. The results revealed the identification of 55 metabolites in unfractionated Scenedesmus regularis extract by using 1HNMR coupled with correlation spectroscopy (COSY). Penerbit Universiti Kebangsaan Malaysia 2019-03 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/12786/1/48_01_17.pdf Nyuk, Ling Ma and Teh, Kit Yinn and Aziz Ahmad, and Lam, Su Shiung and Shahidur Ashraf Saidon, and Mohd Naqiuddin Husri, and Cha, Thye San (2019) Metabolite profiling of Scenedesmus regularis using Nuclear Magnetic Resonance (NMR). Malaysian Applied Biology, 48 (1). pp. 117-121. ISSN 0126-8643 http://mabjournal.com/index.php?option=com_content&view=article&id=897&catid=59:current-view&Itemid=56
repository_type Digital Repository
institution_category Local University
institution Universiti Kebangasaan Malaysia
building UKM Institutional Repository
collection Online Access
language English
description Metabolites represent the end product of gene function and it reflects direct response of cells under certain conditions. Hence, metabolite profiling has become a powerful tool in examination of plant cell’s response under certain conditions either in vitro or from tissue extract. This study aims to demonstrate how metabolite fingerprinting in microalgae in unfractionated extract. The results revealed the identification of 55 metabolites in unfractionated Scenedesmus regularis extract by using 1HNMR coupled with correlation spectroscopy (COSY).
format Article
author Nyuk, Ling Ma
Teh, Kit Yinn
Aziz Ahmad,
Lam, Su Shiung
Shahidur Ashraf Saidon,
Mohd Naqiuddin Husri,
Cha, Thye San
spellingShingle Nyuk, Ling Ma
Teh, Kit Yinn
Aziz Ahmad,
Lam, Su Shiung
Shahidur Ashraf Saidon,
Mohd Naqiuddin Husri,
Cha, Thye San
Metabolite profiling of Scenedesmus regularis using Nuclear Magnetic Resonance (NMR)
author_facet Nyuk, Ling Ma
Teh, Kit Yinn
Aziz Ahmad,
Lam, Su Shiung
Shahidur Ashraf Saidon,
Mohd Naqiuddin Husri,
Cha, Thye San
author_sort Nyuk, Ling Ma
title Metabolite profiling of Scenedesmus regularis using Nuclear Magnetic Resonance (NMR)
title_short Metabolite profiling of Scenedesmus regularis using Nuclear Magnetic Resonance (NMR)
title_full Metabolite profiling of Scenedesmus regularis using Nuclear Magnetic Resonance (NMR)
title_fullStr Metabolite profiling of Scenedesmus regularis using Nuclear Magnetic Resonance (NMR)
title_full_unstemmed Metabolite profiling of Scenedesmus regularis using Nuclear Magnetic Resonance (NMR)
title_sort metabolite profiling of scenedesmus regularis using nuclear magnetic resonance (nmr)
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2019
url http://journalarticle.ukm.my/12786/
http://journalarticle.ukm.my/12786/
http://journalarticle.ukm.my/12786/1/48_01_17.pdf
first_indexed 2023-09-18T20:03:22Z
last_indexed 2023-09-18T20:03:22Z
_version_ 1777406997043347456

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