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Phytochemical and bioactivity alterations of Curcuma species harvested at different growth stages by NMR-based metabolomics


Awin, Tahani M. and Mediani, Ahmed and Maulidiani and Leong, Sze Wei and Mohd Faudzi, Siti Munirah and Shaari, Khozirah and Abas, Faridah (2019) Phytochemical and bioactivity alterations of Curcuma species harvested at different growth stages by NMR-based metabolomics. Journal of Food Composition and Analysis, 77 (April 2019). pp. 66-76. ISSN 0889-1575; ESSN: 1096-0481


Curcuma species is a popular traditional folk medicine in India and Southeast Asia. This study aims to profile the metabolites in four Curcuma species, including C. zedoaria, C. xanthorrhiza, C. aeruginosa and C. mangga at three developmental stages (seven, eight and nine months old) using nuclear magnetic resonance (NMR)-based metabolomics. Principal component analysis (PCA) showed that there are metabolites changes due to the month of harvest in each of the four species. A large quantity of curcumin and demethoxycurcumin contributed to the separation of C. xanthorrhiza, whereas the diterpenoids, such as curcumanggoside, (E)-labda-8(17),12-diene15,16-dial, calcaratarin A and zerumin B were responsible for the discrimination of C. mangga. Eight-month-old C. xanthorrhiza exhibited the highest nitric oxide (NO) inhibitory activity, while nine-month-old C. mangga exhibited the highest α-glucosidase inhibitory activity. The correlation among the bioactivities and phytochemical constituents was determined using partial least square (PLS) analysis. Curcumin, demethoxycurcumin, germacrone, zedoarol and xanthorrhizol were correlated with the NO inhibitory activity in C. xanthorrhiza, whereas curcumanggoside, labda-8(17),12-diene-15,16-dial and zerumin B were correlated with the α-glucosidase inhibitory activity in C. mangga. From the phytochemical markers and metabolic changes among growth stages of C. xanthorrhiza and C. mangga, the biosynthetic pathway was proposed to show the metabolites that might contribute to their health benefits.

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Additional Metadata

Item Type: Article
Divisions: Faculty of Food Science and Technology
Faculty of Science
Institute of Bioscience
DOI Number: https://doi.org/10.1016/j.jfca.2019.01.004
Publisher: Academic Press
Keywords: Food analysis; Food composition; Development stages; Curcuma; Multivariate data analysis; PCA; PLS; Nuclear magnetic resonance; Biosynthetic pathway
Depositing User: Ms. Nur Faseha Mohd Kadim
Date Deposited: 13 Dec 2022 08:17
Last Modified: 13 Dec 2022 08:17
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.jfca.2019.01.004
URI: http://psasir.upm.edu.my/id/eprint/81737
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