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All Journal Jurnal Ilmu Pertanian Indonesia ComEngApp : Computer Engineering and Applications Journal VALENSI JURNAL KIMIA SAINS DAN APLIKASI The Journal of Pure and Applied Chemistry Research Agrokreatif Jurnal Ilmiah Pengabdian kepada Masyarakat Chimica et Natura Acta Indonesian Journal of Chemistry Herb-Medicine Journal Chemistry Indonesian Journal of Chemical Research Jurnal Jamu Indonesia Jurnal Pengabdian Kepada Masyarakat Abdi Putra Indonesian Journal of Chemical Studies (Indones. J. Chem. Stud.) Indonesian Journal of Jamu
Rudi Heryanto
Department Of Chemistry, Faculty Of Mathematics And Natural Sciences, IPB University, Jl. Tanjung Kampus IPB Dramaga, Bogor 16680, Indonesia; Advanced Research Laboratory, Institute Of Research And Community Services, IPB University, Jl. Palem Kampus
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Education Engineering Environmental Science Health Professions Immunology & microbiology Materials Science & Nanotechnology Medicine & Pharmacology Public Health Other

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Journal : The Journal of Pure and Applied Chemistry Research

 1 
Metabolite Profiling of Tabat Barito (Ficus deltoidea) Using UPLC-QTOF-MS/MS Nurmaida Nurmaida; Latifah K Darusman; Mohamad Rafi; Rudi Heryanto
The Journal of Pure and Applied Chemistry Research Vol 7, No 2 (2018): Edition May-August 2018
Publisher : Chemistry Department, The University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1009.666 KB) | DOI: 10.21776/ub.jpacr.2018.007.02.374

Abstract

Tabat Barito (Ficus deltoidea) is known as a plant that has potency as an antioxidant because of containing a significant phenolic compound. In this study, we performed metabolite profiling on F. deltoidea leaves by UPLC-QTOF-MS/MS to identify its phenolic compounds. Extraction by maceration and ultrasonication techniques with methanol (MM and UM) and ethanol (ME and UE) were used to extract the F. deltoidea metabolites. About 70 metabolites were identified by using UPLC-QTOF-MS/MS in negative ion mode. The amounts of metabolites found in each extract were different, i.e., 45 metabolites in MM, 64 metabolites in UM, 42 metabolites in UE and 41 metabolites in ME. MS/MS could further tentatively identify 16 metabolites. The identified compounds belonged to the class of flavonoids and phenolic acid. Also, we conducted an antioxidant activity by using DPPH method on each extract to determine its potency as an antioxidant. The highest antioxidant activity was exhibited by UM extract (IC50 71.93 ppm) may be due to the number of metabolites in UM extract which was higher than the other extract based on the detected metabolites.
A Simple Photometer and Chemometrics Analysis for Quality Control of Sambiloto (Andrographis paniculata) Raw Material Rudi Heryanto; Derry Permana; Aryo Tedjo; Eti Rohaeti; Mohamad Rafi; Latifah Kosim Darusman
The Journal of Pure and Applied Chemistry Research Vol 6, No 3 (2017): Edition of September - December 2017
Publisher : Chemistry Department, The University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (759.127 KB) | DOI: 10.21776/ub.jpacr.2017.006.03.349

Abstract

In this paper, we described the use of a light emitting diode (LED)-based photometer and chemometric analysis for quality control of king of bitter or sambiloto (Andrographis paniculata) raw material. The quality of medicinal plants is determined by their chemical composition. The quantities of chemical components in medicinal plants can be assessed using spectroscopic technique. We used an “in house” photometer to generate spectra of sambiloto. The spectra were analyzed by chemometric methods, i.e. principal component analysis (PCA) and partial least square discriminant analysis (PLS-DA), with the aim of herbal quality classification based on the harvesting time. From the results obtained, based on thin layer chromatography analysis, sambiloto with different collection times (1, 2, and 3 months) contained different amounts of active compounds. Evaluation of sambiloto, using its spectra and chemometric analysis has successfully differentiated its quality based on harvesting time. PCA with the first two PC’s (PC-1 = 60% and PC-2 = 35%) was able to differentiate according to the harvesting time of sambiloto. Three models were obtained by PLS-DA and could be used to predict unknown sample of sambiloto according to the harvesting time
Co-Authors Aan Setiawati Achmad Fauzi Achmad Fauzi Amalia Yunita Aninda, Dea Aryo Tedjo Azizah, Norma Nur Budi Riza Putra Budi Riza Putra Cecep Abdurohman Putra Debby Rahmawaty Derry Permana Dewa Saepurrahman Dimas Noor Dyah Iswantini Elsa Ramadanti Ervizal AMZU Eti Rohaeti Eti Rohaeti Fadilah Fadilah Fadilah Fadilah, Fadilah Farit Mochamad Afendi Gustian, Dudih Hafshah, Nurul Hanifullah Habibie Irma Herawati Suparto Jihad Hari Katrin Roosita Latifah K Darusman Latifah Kosim Darusman Latifah Kosim Darusman Latifah Kosim Darusman Latifah Kosim Darusman M. Rafi Mardiana, Eni Masriani . Megasari Putri Mohamad Rafi Mohamad Rafi Mohamad Rafi Muhamad Amar Norma Nur Azizah Novia Rahma Noviyanti, Yuthika Rizqi Nurmaida Nurmaida Pitri, Rosiana Putri, Silvi Agusri Ragil, Ragil Ramadhanti, Desi Rany Zalvianita Rico Sihotang Sailendra, Pingkan Ramadhan Septaningsih, Dewi Anggraini Silvi Agusri Putri Siti Sa’diah Sukowati, Siski Andini SUMINAR SETIATI ACHMADI Usman, Muhammad Syafiuddin Wisnu Ananta Kusuma Wulan Tri Wahyuni Yudi Nata Yuthika Rizqi Noviyanti