Identification of α-glucosidase Enzyme Inhibitor Compound from Ethanol 96% Extract of Yakon Leaves (Smallanthus sonchifolius [Poepp.& Endl.] H. Robinson)

  • Zuhelmi Aziz Universitas Pancasila
  • Farhana Hanida Al Qisthi Universitas Pancasila
  • Ratna Djamil Universitas Pancasila
  • Nancy Dewi Yuliana Faculty of Argicultur Technology, Institut Pertanian Bogor
  • Partomuan Simanjuntak Pusat Penelitian Bioteknologi-LIPI
  • Syamsudin Abdillah
DOI: https://doi.org/10.35814/jifi.v17i1.652

Abstract

The leaves of yacon (Smallanthussonchi folius [Poepp. &Endl.] H. Robinson) or in Indonesia known as “Daun insulin” (Insulin leaf), scientifically has various medicinal properties and one of them as antidiabetic. The aim of this research is to know α-glucosidase enzyme inhibitor compound in the ethanol 96% extract of yacon leaves. Fractionation of ethanol extract subjected to column chromatography (SiO2; dichloromethane-methanol-water = 5 : 5 : 1) gave 5 fractions (Fr -1 ~Fr – 5). The results of the -glucosidase enzyme inhibition activity test in vitro against the five fractions obtained the 3rd fraction as the most active of 87.84 %. Purification of the 3rd fraction with preparative thin layer chromatography (SiO2; n-BuOH-ethanol-water = 4 : 1 : 2.2) gave pure isolate as Fr 3-1. Identification of pure isolates Fr 3-1 was carried out by interpreted spectra of Ultraviolet, Fourier Transform-Infra Red, Mass Spectra (from LC-MS) and compared data on the chemical shift of the Nuclear Magnetic Resonance (proton and carbon) and determined as Nystose (GF3) compound. The results of the -glucosidase enzyme inhibition activity showed that      Fr 3-1 has IC50 of 21.36 ppm

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Published
2019-04-24
How to Cite
AZIZ, Zuhelmi et al. Identification of α-glucosidase Enzyme Inhibitor Compound from Ethanol 96% Extract of Yakon Leaves (Smallanthus sonchifolius [Poepp.& Endl.] H. Robinson). JURNAL ILMU KEFARMASIAN INDONESIA, [S.l.], v. 17, n. 1, p. 21-26, apr. 2019. ISSN 2614-6495. Available at: <http://jifi.farmasi.univpancasila.ac.id/index.php/jifi/article/view/652>. Date accessed: 31 may 2025. doi: https://doi.org/10.35814/jifi.v17i1.652.
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Vol 17 No 1 (2019): JIFI
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