Citation
Abstract
Microalgae are promising candidate resources from marine ecology for health-improving effects. Metabolite profiling of the microalgal diatom, Chaetoceros calcitrans was conducted by using robust metabolomics tools, namely 1H nuclear magnetic resonance (NMR) spectroscopy coupled with multivariate data analysis (MVDA). The unsupervised data analysis, using principal component analysis (PCA), resolved the five types of extracts made by solvents ranging from polar to non-polar into five different clusters. Collectively, with various extraction solvents, 11 amino acids, cholesterol, 6 fatty acids, 2 sugars, 1 osmolyte, 6 carotenoids and 2 chlorophyll pigments were identified. The fatty acids and both carotenoid pigments as well as chlorophyll, were observed in the extracts made from medium polar (acetone, chloroform) and non-polar (hexane) solvents. It is suggested that the compounds were the characteristic markers that influenced the separation between the clusters. Based on partial least square (PLS) analysis, fucoxanthin, astaxanthin, violaxanthin, zeaxanthin, canthaxanthin, and lutein displayed strong correlation to 2,2-diphenyl-1-picrylhydrazyl (DPPH) free radical scavenging and nitric oxide (NO) inhibitory activity. This metabolomics study showed that solvent extractions are one of the main bottlenecks for the maximum recovery of bioactive microalgal compounds and could be a better source of natural antioxidants due to a high value of metabolites.
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Official URL or Download Paper: https://www.mdpi.com/1660-3397/16/5/154
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Additional Metadata
Item Type: | Article |
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Divisions: | Faculty of Food Science and Technology Faculty of Science Institute of Bioscience |
DOI Number: | https://doi.org/10.3390/md16050154 |
Publisher: | MDPI |
Keywords: | Chaetoceros calcitrans; Metabolite profiling; 1H nuclear magnetic resonance (NMR) spectroscopy; Antioxidant; Nitric oxide inhibitory |
Depositing User: | Nabilah Mustapa |
Date Deposited: | 08 Jul 2019 07:30 |
Last Modified: | 08 Jul 2019 07:30 |
Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3390/md16050154 |
URI: | http://psasir.upm.edu.my/id/eprint/15351 |
Statistic Details: | View Download Statistic |
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