Abdul Rohman
Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia

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Antioxidant Activities and Identification of an Active Compound from Rambutan (Nephelium lappaceum L.) Peel Mistriyani Mistriyani; Sugeng Riyanto; Anjar Windarsih; Abdul Rohman
Indonesian Journal of Chemistry Vol 21, No 2 (2021)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijc.50421

Abstract

The consumption of rambutan fruit resulted in a vast amount of peels and seeds waste. Therefore, the exploration of active compounds having beneficial effects on human health, such as antioxidants, is very lucrative. This research was aimed to isolate and to identify the active compound as an antioxidant from rambutan peel. The powdered rambutan peel was extracted with a maceration technique using methanol then fractionated using petroleum ether, chloroform, and ethyl acetate to get the corresponding fractions. The extract and fractions were determined for its antioxidant activities in vitro using 2,2’-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging and metal-chelating assay. The ethyl acetate fraction exhibited the highest antiradical activity with an IC50 value of 26.22 μg/mL and metal-chelating activity, accounting for 12.32%. The antioxidant activities of extract and fractions correlated with its phenolics and flavonoid contents. Identification of active compounds using FTIR, GC-MS, and NMR resulted in the chemical formula of C7H6O4, identified as 3,4-dihydroxybenzoic acid.
Employing an R Software Package rsm for Optimizing of Genistein, Daidzein, and Glycitein Separation and Its Application for Soy Milk Analysis by HPLC Method Florentinus Dika Octa Riswanto; Alni Desra; Rinjani Mustika Sari; Valentino Thomas; Abdul Rohman; Suwidjiyo Pramono; Sudibyo Martono
Indonesian Journal of Chemistry Vol 20, No 5 (2020)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (16.635 KB) | DOI: 10.22146/ijc.51669

Abstract

Soy milk, one of the soybean products, become more popular in recent years due to its benefit for human health. Biological activities of soybean products have been widely studied according to the presence of isoflavone aglycones content, including genistein, daidzein, and glycitein. Hence, it is important to develop an effective and efficient analytical method to provide guidance regarding appropriate isoflavone intake levels for soy milk. A reversed-phase high performance liquid chromatography (HPLC) method was developed and optimized in this study employed by R statistical software with the package of rsm. A C18 column was used for HPLC separation with the detection at 260 nm. Optimized condition for HPLC separation has been achieved with the mobile phase of methanol: water (63.26:36.74), a flow rate of 0.81 mL/min, and a column temperature of 45.31 °C. These conditions were applied in the HPLC system and successfully tested for the system suitability. Quantitative estimation was performed and resulted that the genistein, daidzein, and glycitein content in soy milk samples were 6.372, 6.273, and 2.853 µg/mL, respectively.
UHPLC-Q-Orbitrap HRMS-based Untargeted Metabolomics of Sida rhombifolia Leaves and Stem Extracts Alfi Hudatul Karomah; Mohamad Rafi; Dewi Anggraini Septaningsih; Auliya Ilmiawati; Utami Dyah Syafitri; Nanik Siti Aminah; Muhamad Insanu; Abdul Rohman
HAYATI Journal of Biosciences Vol. 30 No. 4 (2023): July 2023
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.4308/hjb.30.4.770-778

Abstract

Sida rhombifolia, also known as sidaguri in Indonesia, is a medicinal plant commonly used as a herbal medicine because of its metabolite and biological activities. One of the several factors that affect plant metabolite composition and concentration is the use of plant parts. In this study, the experiment aimed to identify the metabolite profile in the leaves and stem extracts of S. rhombifolia using UHPLC-Q-Orbitrap HRMS-based untargeted metabolomics. The samples were distinguished by principal component analysis (PCA). Extraction of metabolites was conducted by sonication for approximately 30 min with 70% ethanol as the extraction solvent; 28 metabolites were identified. Seven metabolites were identified only in the leaves, three were identified only in the stems, and 18 other metabolites were identified in both the leaves and stems. These metabolites were categorized as flavonoids, triterpenoids, alkaloids, coumarins, phenolic aldehydes, phenolic acids, ecdysteroids, fatty acids, and monoterpene lactones. Based on the classification results, PCA grouped the leaves and stem extracts of S. rhombifolia using the peak area variables of the identified metabolites.