Complementary NMR- and MS-based metabolomics approaches reveal the correlations of phytochemicals and biological activities in Phyllanthus acidus leaf extracts

Proton nuclear magnetic resonance (1H NMR)- and ultra-high performance liquid chromatography-mass spectrometry (UHPLC-MS)-based analytical tools are frequently used in metabolomics studies. These complementary metabolomics platforms were applied to identify and quantify the metabolites in Phyllanthu...

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Main Authors: Abd Ghafar, Siti Zulaikha, Mediani, Ahmed, M., Maulidiani, R., Rudiyanto, Mohd Ghazali, Hasanah, Ramli, Nurul Shazini, Abas, Faridah
Format: Article
Language:English
Published: Elsevier 2020
Online Access:http://psasir.upm.edu.my/id/eprint/88224/1/ABSTRACT.pdf
http://psasir.upm.edu.my/id/eprint/88224/
https://www.sciencedirect.com/science/article/pii/S0963996920303379
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spelling my.upm.eprints.882242022-03-10T05:17:25Z http://psasir.upm.edu.my/id/eprint/88224/ Complementary NMR- and MS-based metabolomics approaches reveal the correlations of phytochemicals and biological activities in Phyllanthus acidus leaf extracts Abd Ghafar, Siti Zulaikha Mediani, Ahmed M., Maulidiani R., Rudiyanto Mohd Ghazali, Hasanah Ramli, Nurul Shazini Abas, Faridah Proton nuclear magnetic resonance (1H NMR)- and ultra-high performance liquid chromatography-mass spectrometry (UHPLC-MS)-based analytical tools are frequently used in metabolomics studies. These complementary metabolomics platforms were applied to identify and quantify the metabolites in Phyllanthus acidus extracted with different ethanol concentrations. In total, 38 metabolites were tentatively identified by 1H NMR and 39 via UHPLC-MS, including 30 compounds are reported for the first time from this plant. The partial least square analysis (PLS) revealed the metabolites that contributed to α-glucosidase and nitric oxide (NO) inhibitory activities, including kaempferol, quercetin, myricetin, phyllanthusol A, phyllanthusol B, chlorogenic, catechin, cinnamic coumaric, caffeic, quinic, citric, ellagic and malic acids. This study shows the significance of combining 1H NMR- and UHPLC-MS-based metabolomics as the best strategies in identifying metabolites in P. acidus extracts and establishing an extract with potent antioxidant, anti-diabetic, and anti-inflammatory properties. Elsevier 2020 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/88224/1/ABSTRACT.pdf Abd Ghafar, Siti Zulaikha and Mediani, Ahmed and M., Maulidiani and R., Rudiyanto and Mohd Ghazali, Hasanah and Ramli, Nurul Shazini and Abas, Faridah (2020) Complementary NMR- and MS-based metabolomics approaches reveal the correlations of phytochemicals and biological activities in Phyllanthus acidus leaf extracts. Food Research International, 136. art. no. 109312. pp. 1-13. ISSN 0963-9969 https://www.sciencedirect.com/science/article/pii/S0963996920303379 10.1016/j.foodres.2020.109312
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Proton nuclear magnetic resonance (1H NMR)- and ultra-high performance liquid chromatography-mass spectrometry (UHPLC-MS)-based analytical tools are frequently used in metabolomics studies. These complementary metabolomics platforms were applied to identify and quantify the metabolites in Phyllanthus acidus extracted with different ethanol concentrations. In total, 38 metabolites were tentatively identified by 1H NMR and 39 via UHPLC-MS, including 30 compounds are reported for the first time from this plant. The partial least square analysis (PLS) revealed the metabolites that contributed to α-glucosidase and nitric oxide (NO) inhibitory activities, including kaempferol, quercetin, myricetin, phyllanthusol A, phyllanthusol B, chlorogenic, catechin, cinnamic coumaric, caffeic, quinic, citric, ellagic and malic acids. This study shows the significance of combining 1H NMR- and UHPLC-MS-based metabolomics as the best strategies in identifying metabolites in P. acidus extracts and establishing an extract with potent antioxidant, anti-diabetic, and anti-inflammatory properties.
format Article
author Abd Ghafar, Siti Zulaikha
Mediani, Ahmed
M., Maulidiani
R., Rudiyanto
Mohd Ghazali, Hasanah
Ramli, Nurul Shazini
Abas, Faridah
spellingShingle Abd Ghafar, Siti Zulaikha
Mediani, Ahmed
M., Maulidiani
R., Rudiyanto
Mohd Ghazali, Hasanah
Ramli, Nurul Shazini
Abas, Faridah
Complementary NMR- and MS-based metabolomics approaches reveal the correlations of phytochemicals and biological activities in Phyllanthus acidus leaf extracts
author_facet Abd Ghafar, Siti Zulaikha
Mediani, Ahmed
M., Maulidiani
R., Rudiyanto
Mohd Ghazali, Hasanah
Ramli, Nurul Shazini
Abas, Faridah
author_sort Abd Ghafar, Siti Zulaikha
title Complementary NMR- and MS-based metabolomics approaches reveal the correlations of phytochemicals and biological activities in Phyllanthus acidus leaf extracts
title_short Complementary NMR- and MS-based metabolomics approaches reveal the correlations of phytochemicals and biological activities in Phyllanthus acidus leaf extracts
title_full Complementary NMR- and MS-based metabolomics approaches reveal the correlations of phytochemicals and biological activities in Phyllanthus acidus leaf extracts
title_fullStr Complementary NMR- and MS-based metabolomics approaches reveal the correlations of phytochemicals and biological activities in Phyllanthus acidus leaf extracts
title_full_unstemmed Complementary NMR- and MS-based metabolomics approaches reveal the correlations of phytochemicals and biological activities in Phyllanthus acidus leaf extracts
title_sort complementary nmr- and ms-based metabolomics approaches reveal the correlations of phytochemicals and biological activities in phyllanthus acidus leaf extracts
publisher Elsevier
publishDate 2020
url http://psasir.upm.edu.my/id/eprint/88224/1/ABSTRACT.pdf
http://psasir.upm.edu.my/id/eprint/88224/
https://www.sciencedirect.com/science/article/pii/S0963996920303379
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