Yee Soon Ling

Dr. Yee Soon Ling

orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 August 2018 in Molecules
Verified
Journal Article
Open access
PDF file
MRMuhammad Taufiq Atsifa Razali
Muhammad Taufiq Atsifa Razali
ZZZaim Akmal Zainal
Zaim Akmal Zainal
MMM Maulidiani
M Maulidiani
KSKhozirah Shaari
Khozirah Shaari
ZZZulkifli Zamri
Zulkifli Zamri
IIIntan Safinar Ismail
Intan Safinar Ismail
The official standard for quality control of honey is currently based on physicochemical properties. However, this method is time-consuming, cost intensive, and does not lead to information on the originality of honey. This study aims to classify raw stingless bee honeys by bee species origins as a potential classifier using the NMR-LCMS-based metabolomics approach. Raw stingless bee honeys were analysed and classified by bee species origins using proton nuclear magnetic resonance (1H-NMR) spectroscopy and an ultra-high performance liquid chromatography-quadrupole time of flight mass spectrometry (UHPLC-QTOF MS) in combination with chemometrics tools. The honey samples were able to be classified into three different groups based on the bee species origins of Heterotrigona itama, Geniotrigona thoracica, and Tetrigona apicalis. d-Fructofuranose (H. itama honey), β-d-Glucose, d-Xylose, α-d-Glucose (G. thoracica honey), and l-Lactic acid, Acetic acid, l-Alanine (T. apicalis honey) ident d-Fructofuranose identified via 1H-NMR data and the diagnostic ions of UHPLC-QTOF MS were characterized as the discriminant metabolites or putative chemical markers. It could be suggested that the quality of honey in terms of originality and purity can be rapidly determined using the classification technique by bee species origins via the 1H-NMR- and UHPLC-QTOF MS-based metabolomics approach.

7 October 2019 in RSC Advances
Verified
Journal Article
Open access
PDF file
PPPERNG YANG PUAH
PERNG YANG PUAH
DLDexter Jiunn Herng Lee
Dexter Jiunn Herng Lee
KMKen Hing Mak
Ken Hing Mak
HAHui Jun Ang
Hui Jun Ang
HCHsin-Chang Chen
Hsin-Chang Chen
YLYee Soon Ling
Yee Soon Ling
Investigation of the impurities leaching behavior of the syringe filters.

5 May 2017 in Journal of the Chinese Chemical Society
Verified
Journal Article
Closed access
PDF file
Yoong Soon YongYoong Soon Yong
Yoong Soon Yong
ECEric Tzyy Jiann Chong
Eric Tzyy Jiann Chong
HCHsin-Chang Chen
Hsin-Chang Chen
PLPingChin Lee
PingChin Lee
YLYee Soon Ling
Yee Soon Ling

16 July 2018 in Preprints.org
Verified
Preprint
Open access
PDF file
MRMuhammad Taufiq Atsifa Razali
Muhammad Taufiq Atsifa Razali
ZZZaim Akmal Zainal
Zaim Akmal Zainal
MMM Maulidiani
M Maulidiani
KSKhozirah Shaari
Khozirah Shaari
ZZZulkifli Zambri
Zulkifli Zambri
IIIntan Safinar Ismail
Intan Safinar Ismail
Background: The official standard for quality control of honey is currently based on physicochemical properties. However, this method is time-consuming, cost intensive, and do not lead to information on the originality of honey. This study aims to classify raw stingless bee honeys by bee species origins as a potential classifier using NMR-LCMS-based metabolomics approach. Methods: Raw stingless bee honeys were analysed and classified by bee species origins using proton nuclear magnetic resonance (1H NMR) spectroscopy and an ultra-high performance liquid chromatography-quadrupole time of flight mass spectrometry (UHPLC-QTOF MS) in combination with chemometrics tools. Results: The honey samples were able to be classified into three different groups based on the bee species origins of Heterotrigona itama, Geniotrigona thoracica, and Tetrigona apicalis. D-Fructofuranose (H. itama honey), β-D-Glucose, D-Xylose, α-D-Glucose (G. thoracica honey), and L-Lactic acid, Acetic acid, L-Alanine (T. apicalis honey) identified via 1H NMR data and the diagnostic ions of UHPLC-QTOF MS were characterized as the discriminant metabolites or putative chemical markers. Conclusion: It could be suggested that the quality of honey in terms of originality and purity can be rapidly determined using classification technique by bee species origins via 1H NMR- and UHPLC-QTOF MS-based metabolomics approach.

26 December 2018 in Natural Product Research
Verified
Journal Article
Closed access
YLYee Soon Ling
Yee Soon Ling
LLLeong Rui Lim
Leong Rui Lim
Yoong Soon YongYoong Soon Yong
Yoong Soon Yong
OTOriana Tamin
Oriana Tamin
PPPERNG YANG PUAH
PERNG YANG PUAH
Soft coral, Sinularia sp. had been proven to inherit promising anti-cancer properties against variety of cancer. Current study, Sinularia sp. extract was introduced to Hepatocellular carcinoma (Hep 3B). Cell viability assay indicated the extract exhibit a dose and time dependent cytotoxicity. LC50 exhibited the lowest at 72 h post treatment estimated as 45.3 µg/mL. Morphological alterations including nuclear condensation, cytoplasm shrinkage and deformed cellular shape in treated Hep 3B were observable. Chemometric analysis revealed hydrophobic metabolites were significantly altered. Elevated vitamin D and derivatives tend to up-regulation Ca2+ and ROS subsequently triggering apoptosis. Dysregulated glycerolipids may suggest that they were biotransformed to compensate the needs of phospholipids during cell damage. Perturbation of sphingolipids, ceramide and carbohydrate-conjugated ceramides species increased the release of pro-apoptotic components reside within mitochondria and promote programmed cell death in treated Hep 3B. To conclude, MS-based metabolomics enabled the characterization of Sinularia sp. extract-induced cell death.

6 June 2022 in Scientific Reports
Verified
Journal Article
Open access
PDF file
PPPerng Yang Puah
Perng Yang Puah
DLDexter Jiunn Herng Lee
Dexter Jiunn Herng Lee
SPSoo Huan Puah
Soo Huan Puah
NLNik Amin Sahid Nik Lah
Nik Amin Sahid Nik Lah
YLYee Soon Ling
Yee Soon Ling
SFSiat Yee Fong
Siat Yee Fong
Eleusine indica, which is used in traditional medicine, exhibits antiproliferative activity against several cancer cell lines. However, metabolomic studies to evaluate the metabolite changes induced by E. indica in cancer cells are still lacking. The present study investigated the anticancer effects of a root fraction of E. indica (R-S5-C1-H1) on H1299, MCF-7, and SK-HEP-1 cell lines and analyzed metabolic changes in the treated cancer cells using ultra-high-performance liquid chromatography high-resolution mass spectrometry (UHPLC-HRMS). Cell metabolic activity assays demonstrated that the cell viability of the three cancer cell lines was significantly reduced following treatment with R-S5-C1-H1, with half-maximal inhibitory concentrations values of 12.95 µg/mL, 15.99 µg/mL, and 13.69 µg/mL at 72 h, respectively. Microscopy analysis using Hoechst 33342 and Annexin V fluorescent dyes revealed that cells treated with R-S5-C1-H1 underwent apoptotic cell death, while chemometric analysis suggested that apoptosis was triggered 48 h after treatment with R-S5-C1-H1. Deconvoluted cellular metabolomics revealed that hydrophobic metabolites were significantly altered, including triacylglycerols, phosphatidylcholine, phosphatidylethanolamine, sphingomyelin, and ceramide, suggesting that apoptosis induction by R-S5-C1-H1 potentially occurred through modulation of phospholipid synthesis and sphingolipid metabolism. These metabolomic profiling results provide new insights into the anticancer mechanisms of E. indica and facilitate the overall understanding of molecular events following therapeutic interventions.