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Article . 2021 . Peer-reviewed
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Isolasi Senyawa Metabolit Sekunder Steroid dan Terpenoid dari 5 Tanaman

Authors: Nadia Andriani; Lhidya Halizah Malik; Gita Kurniawati Putri; Febri Nola;

Isolasi Senyawa Metabolit Sekunder Steroid dan Terpenoid dari 5 Tanaman

Abstract

Indonesia kaya akan keanekaragaman flora dan fauna. Data menunjukkan bahwa terdapat sekitar 30.000 spesies flora di hutan tropis di Indonesia, dan sekitar 9.600 spesies tumbuhan diketahui memiliki khasiat sebagai obat. Tumbuhan menghasilkan metabolit sekunder yang memiliki sifat berracun yang dapat digunakan untuk mengobati berbagai penyakit manusia salah satunya yaitu Steroid dan Terpenoid. Beberapa tanaman yang dipakai adalah biji mahoni (Swietenia mahagonia Jacq.), rimpang temulawak (Curcuma xanthorrhiza Roxb.), herba meniran (Phyllanthus niruri Linn), buncis (Phaseolus vulgaris L.), dan batang tanaman patah tulang (Euphorbia tirucalli L.). Tujuan dari review jurnal ini yaitu untuk menganalisis isolasi senyawa metabolit sekunder steroid dan terpenoid dengan menggunakan metode studi tinjauan literatur. Isolasi senyawa steroid dan terpenoid dapat dilakukan dengan ekstraksi, fraksinasi dan bercak UV. Berdasarkan hasil pencarian literatur ini biji mahoni (Swietenia mahagonia Jacq.) mengandung steroid dan triterpenoid, rimpang temulawak (Curcuma xanthorrhiza Roxb.) mengandung seskuiterpenoid, herba meniran (Phyllanthus niruri Linn) mengandung steroid, buncis (Phaseolus vulgaris L.) mengandung steroid dan triterpenoid, dan batang tanaman patah tulang (Euphorbia tirucalli L.) mengandung steroid dan terpenoid.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
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