Phytochemical screening and metabolomic approach based on Fourier transform infrared (FTIR): Identification of a-amylase inhibitor metabolites in Vernonia amygdalina leaves
Context: Vernonia amygdalina has been reported as a potential antidiabetic agent. One of the mechanisms in diabetes mellitus treatment is the inhibition of the α-amylase enzyme's action. Objective: This study is aimed to identify the presence of secondary metabolites in Vernonia amygdalina leaf...
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Journal of Saudi Chemical Society
2022
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id-ugm-repo.2844852023-12-29T00:33:15Z https://repository.ugm.ac.id/284485/ Phytochemical screening and metabolomic approach based on Fourier transform infrared (FTIR): Identification of a-amylase inhibitor metabolites in Vernonia amygdalina leaves Yunitasari, Norainny Swasono, Respati Tri Pranowo, Harno Dwi Raharjo, Tri Joko Chemical Science Context: Vernonia amygdalina has been reported as a potential antidiabetic agent. One of the mechanisms in diabetes mellitus treatment is the inhibition of the α-amylase enzyme's action. Objective: This study is aimed to identify the presence of secondary metabolites in Vernonia amygdalina leaf extract, which has the potential as α-amylase inhibitors through phytochemical screening combined with metabolomic analysis. Materials and methods: Methanol extract from Vernonia amygdalina leaf was partitioned into n-hexane, dichloromethane (DCM), and ethyl acetate. From this process, methanol, hexane, DCM, and ethyl acetate extracts were obtained. These extracts were then being tested for phytochemical screening, α-amylase inhibition, and FTIR. Then FTIR data were used for metabolomic analysis (PCA and PLS). Results: The results of the α-amylase inhibition test showed that the ethyl acetate extract had the smallest IC50 average value, which was 3.00 μg/mL. Based on the phytochemical screening test results, the extract showed positive for the presence of compounds such as flavonoids, phenols, tannins, alkaloids, and saponins. From the PCA analysis (Bi-plot), the wavenumbers that were influential in the ethyl acetate extract were 1436 to 1681 and 3341 to 3348 cm−1. In theory, functional groups such as C[sbnd]H, C[dbnd]C, C[dbnd]O, N[sbnd]H, and O[sbnd]H appeared on the absorption. From the PLS analysis, these wavenumbers affected the activity. Conclusion: The most potential extract as an α-amylase inhibitor was the ethyl acetate extract. Based on phytochemical screening tests and metabolomic analysis, it was proven that this extract contained compounds as hypoglycemic agents Journal of Saudi Chemical Society 2022 Other NonPeerReviewed application/pdf en https://repository.ugm.ac.id/284485/1/50.pdf Yunitasari, Norainny and Swasono, Respati Tri and Pranowo, Harno Dwi and Raharjo, Tri Joko (2022) Phytochemical screening and metabolomic approach based on Fourier transform infrared (FTIR): Identification of a-amylase inhibitor metabolites in Vernonia amygdalina leaves. Journal of Saudi Chemical Society. https://www.sciencedirect.com/journal/journal-of-saudi-chemical-society/vol/26/issue/6 10.1016/j.jscs.2022.101540 |
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Chemical Science Yunitasari, Norainny Swasono, Respati Tri Pranowo, Harno Dwi Raharjo, Tri Joko Phytochemical screening and metabolomic approach based on Fourier transform infrared (FTIR): Identification of a-amylase inhibitor metabolites in Vernonia amygdalina leaves |
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Context: Vernonia amygdalina has been reported as a potential antidiabetic agent. One of the mechanisms in diabetes mellitus treatment is the inhibition of the α-amylase enzyme's action. Objective: This study is aimed to identify the presence of secondary metabolites in Vernonia amygdalina leaf extract, which has the potential as α-amylase inhibitors through phytochemical screening combined with metabolomic analysis. Materials and methods: Methanol extract from Vernonia amygdalina leaf was partitioned into n-hexane, dichloromethane (DCM), and ethyl acetate. From this process, methanol, hexane, DCM, and ethyl acetate extracts were obtained. These extracts were then being tested for phytochemical screening, α-amylase inhibition, and FTIR. Then FTIR data were used for metabolomic analysis (PCA and PLS). Results: The results of the α-amylase inhibition test showed that the ethyl acetate extract had the smallest IC50 average value, which was 3.00 μg/mL. Based on the phytochemical screening test results, the extract showed positive for the presence of compounds such as flavonoids, phenols, tannins, alkaloids, and saponins. From the PCA analysis (Bi-plot), the wavenumbers that were influential in the ethyl acetate extract were 1436 to 1681 and 3341 to 3348 cm−1. In theory, functional groups such as C[sbnd]H, C[dbnd]C, C[dbnd]O, N[sbnd]H, and O[sbnd]H appeared on the absorption. From the PLS analysis, these wavenumbers affected the activity. Conclusion: The most potential extract as an α-amylase inhibitor was the ethyl acetate extract. Based on phytochemical screening tests and metabolomic analysis, it was proven that this extract contained compounds as hypoglycemic agents |
format |
Other NonPeerReviewed |
author |
Yunitasari, Norainny Swasono, Respati Tri Pranowo, Harno Dwi Raharjo, Tri Joko |
author_facet |
Yunitasari, Norainny Swasono, Respati Tri Pranowo, Harno Dwi Raharjo, Tri Joko |
author_sort |
Yunitasari, Norainny |
title |
Phytochemical screening and metabolomic
approach based on Fourier transform infrared
(FTIR): Identification of a-amylase inhibitor
metabolites in Vernonia amygdalina leaves |
title_short |
Phytochemical screening and metabolomic
approach based on Fourier transform infrared
(FTIR): Identification of a-amylase inhibitor
metabolites in Vernonia amygdalina leaves |
title_full |
Phytochemical screening and metabolomic
approach based on Fourier transform infrared
(FTIR): Identification of a-amylase inhibitor
metabolites in Vernonia amygdalina leaves |
title_fullStr |
Phytochemical screening and metabolomic
approach based on Fourier transform infrared
(FTIR): Identification of a-amylase inhibitor
metabolites in Vernonia amygdalina leaves |
title_full_unstemmed |
Phytochemical screening and metabolomic
approach based on Fourier transform infrared
(FTIR): Identification of a-amylase inhibitor
metabolites in Vernonia amygdalina leaves |
title_sort |
phytochemical screening and metabolomic
approach based on fourier transform infrared
(ftir): identification of a-amylase inhibitor
metabolites in vernonia amygdalina leaves |
publisher |
Journal of Saudi Chemical Society |
publishDate |
2022 |
url |
https://repository.ugm.ac.id/284485/1/50.pdf https://repository.ugm.ac.id/284485/ https://www.sciencedirect.com/journal/journal-of-saudi-chemical-society/vol/26/issue/6 |
_version_ |
1787137374238539776 |