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Indian Journal of Public Health Research & Development
Year : 2019, Volume : 10, Issue : 4
First page : ( 759) Last page : ( 764)
Print ISSN : 0976-0245. Online ISSN : 0976-5506.
Article DOI : 10.5958/0976-5506.2019.00794.0

Effect of Phytochemicals in Phoenix Dactylifera L. on Human Body Using LC-QTOF-MS

Elma Sabri Nurul1, Rosli Dzulfadli2, Badarusham Khalilah1, Salvamani Shamala1,3, Hassan Mohd Sukri1,*

1Lecturer, Faculty of Science and Technology, Universiti Sains Islam Malaysia, 71800, Bandar Baru Nilai, Negeri Sembilan, Malaysia

2Lecturer, Institute of Halal Research and Management (IHRAM), Universiti Sains Islam Malaysia, 71800, Bandar Baru Nilai, Negeri Sembilan, Malaysia

3Lecturer, Division of Applied Biomedical Science and Biotechnology, School of Health Sciences, International Medical University, 57000, Bukit Jalil, Kuala Lumpur, Malaysia

*Corresponding author: Mohd Sukri Hassan, E-mail: mohdsukri@usim.edu.my

Online published on 6 April, 2019.

Abstract

The presence of nutrients and phytochemicals including alkaloids, sterols, phenols and flavonoid in Phoenix dactylifera L. has been related to the health-benefits of date fruits consumption. Metabolomics study has been conducted to explore the human urine metabolome modifications after date fruits intake. After overnight fasting, urine samples were collected before the ingestion at 0h and every 4 hours after the consumption of date fruits at 4-24-h. Samples were analysed using LC-QTOF-MS, followed by Principal Component Analysis (PCA). Results revealed the changes of urinary metabolome during the 24 h after date fruits intake. Some phytochemicals, including alkaloids, sterols, phenols and flavonoids were appeared and disappeared after date fruits intake. These findings confirm that metabolomics is an effective tool that can be practiced in order to further discover the metabolism of phytochemicals and its relation with human health.

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Keywords

Ajwa dates, Human urine, Liquid chromatography mass spectrometry (LCMS), Metabolomics, Principal component analysis (PCA).

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