Mohamad Rafi
Biopharmaca Research Center, Bogor Agricultural University. Jl. Taman Kencana No. 3, Bogor 16128, Indonesia

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Potensi Daerah Sidik Jari Spektrum Inframerah Sebagai Penanda Bioaktovitas Ekstrak Tanaman Obat

Jurnal Ilmu Pertanian Indonesia Vol 12, No 3 (2007): Jurnal Ilmu Pertanian Indonesia
Publisher : Institut Pertanian Bogor

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Abstract

Efficacy and quality of medicinal plant extracts depend on chemical composition therein. Therefore, to ensure its efficacy orquality, the chemical composition of extracts have to be analyzed based on its chemical marker or its chemical pattern. This study tried to develop a method for extracts quality assay based on infrared spectrum in fingerprint region and extracts inhibition activity to xanthine oxidase. Five extracts from kunyit (Curcuma domestica), temulawak ( C xanthorriza), jahe (Zingiber officina/e), temukunci (Boesenbergia pandurata), and cabe jawa (Piper retrofractum) were tested to inhibit xanthine oxidase activity. The bioactive data of extracts and its infrared spectrum was analyzed using PCA and PLS-DA (partial least squarediscriminant analysis). Almost all extracts that were tested showed inhibition activity to xanthine oxidase activity, except the extract of jahe. The result showed that PCA can group all of extract into each of their region. Meanwhile, PLS-DA has shown to be a good prediction model for classifying extracts based on fingerprint region of its mR Spectrum and its biological activity. Keywords: fingerprint, mR spectra, compound marker, xanthine oxidase

MODEL OTENTIKASI KOMPOSISI OBAT BAHAN ALAM BERDASARKAN SPEKTRA INFRAMERAH DAN KOMPONEN UTAMA STUDI KASUS : OBAT BAHAN ALAM/FITOFARMAKA PENURUN TEKANAN DARAH

FORUM STATISTIKA DAN KOMPUTASI Vol 13, No 1 (2008)
Publisher : FORUM STATISTIKA DAN KOMPUTASI

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Abstract

Komposisi kimia yang terkandung dalam ekstrak obat bahan alam merupakan suatu komposisi yang kompleks, dengan demikian pengujian keotentikannya tidak dapat dilakukan melalui pedekatan tunggal.  Salah satu teknik analisis yang dapat menggambarkan secara menyeluruh karakteristik kimia suatu bahan adalah teknik spektroskopi FTIR. Spektra FTIR dihasilkan dari interaksi antara energi sinar inframerah dan komponen kimia penyusun campuran bahan, sehingga suatu spektra FTIR merupakan indentitas khas campuran tersebut. Keotentikan komposisi suatu obat bahan alam pada studi  ini ditentukan berdasarkan pada analisis komponen utama spektra inframerahnya.  Studi dilakukan pada obat bahan alam/fitofarmaka penurun tekanan darah (Tensigard® : terdiri dari ekstrak seledri dan ekstrak daun kumis kucing). Pengukuran spektra inframerah dilakukan terhadap formula obat yang persentase komposisinya ditentukan melalui simplex lattice design. Selain itu pengukuran spektra inframerah juga dilakukan terhadap formula obat dengan mengganti (adulterasi) ekstrak kumis kucing dengan obat sintetis (reserpin) dan ekstrak sambiloto. Berdasarkan plot antara skor komponen utama pertama dan skor komponen utama kedua menunjukkan plot tersebut dapat digunakan untuk mendeteksi komposisi obat, tetapi tidak dapat mendeteksi adanya adulterasi komposisi oleh bahan lain.   Kata Kunci : model otentikasi fitofarmaka, simplex lattice design, komponen utama, tensigard

Geographical classification of Java Tea (Orthosiphon stamineus) from Java Island by FTIR Spectroscopy Combined with Canonical Variate Analysis

JURNAL SAINS DAN MATEMATIKA Volume 23 Issue 1 Year 2015
Publisher : JURNAL SAINS DAN MATEMATIKA

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Abstract

FTIR spectroscopy combined with canonical variate analysis was used for differentiation of java tea (Orthosiphon stamineus) according to their geographical origin. FTIR spectra of all java tea samples were acquired in the mid infrared region (wavenumber range 4000-400 cm-1). Preprocessing signal of FTIR spectra has been carried out prior to canonical variate analysis by standard normal variate. Combination of FTIR spectra in the region 1800-900 cm-1with canonical variate analysis has the power to differentiate java tea samples in terms of geographical origin. The developed method could be used for identification of geographical origin of java tea based on the samples used in this study.

Potensi Daerah Sidik Jari Spektrum Inframerah Sebagai Penanda Bioaktovitas Ekstrak Tanaman Obat

Jurnal Ilmu Pertanian Indonesia Vol 12, No 3 (2007): Jurnal Ilmu Pertanian Indonesia
Publisher : Institut Pertanian Bogor

Show Abstract | Original Source | Check in Google Scholar | Full PDF (257.806 KB)

Abstract

Efficacy and quality of medicinal plant extracts depend on chemical composition therein. Therefore, to ensure its efficacy orquality, the chemical composition of extracts have to be analyzed based on its chemical marker or its chemical pattern. This study tried to develop a method for extracts quality assay based on infrared spectrum in fingerprint region and extracts inhibition activity to xanthine oxidase. Five extracts from kunyit (Curcuma domestica), temulawak ( C xanthorriza), jahe (Zingiber officina/e), temukunci (Boesenbergia pandurata), and cabe jawa (Piper retrofractum) were tested to inhibit xanthine oxidase activity. The bioactive data of extracts and its infrared spectrum was analyzed using PCA and PLS-DA (partial least squarediscriminant analysis). Almost all extracts that were tested showed inhibition activity to xanthine oxidase activity, except the extract of jahe. The result showed that PCA can group all of extract into each of their region. Meanwhile, PLS-DA has shown to be a good prediction model for classifying extracts based on fingerprint region of its mR Spectrum and its biological activity. Keywords: fingerprint, mR spectra, compound marker, xanthine oxidase

OPTIMIZATION OF EXTRACTION CONDITIONS FOR ANDROGRAPHOLIDE USING FRACTIONAL FACTORIAL DESIGN

INDONESIAN JOURNAL OF PHARMACY Vol 25 No 3, 2014
Publisher : Faculty of Pharmacy Universitas Gadjah Mada, Yogyakarta, Skip Utara, 55281, Indonesia

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Abstract

Andrographolide is a major bioctive compound found in king of bitter (Andrographis paniculata). In this study, the extraction method and its condition were investigated in order to get an extract with maximum amount of andrographolide by comparing three other extraction methods, i.e. maceration, soxhletation and ultrasonication and also determination for the optimum condition of the selected extraction method. The highest andrographolide amount was found by maceration, so this method was choosen for further optimization of extraction condition. The optimum condition based on the prediction amount from 27 factor combinations was obtained in 360 times of extraction time, 2g/100mL of sample to solvent ratio, and 3fold of extraction frequency with prediction of andrographolide amount was 3.50%. While by using prediction profile, the optimum condition was obtained in 360min of extraction time, 2 g/100mL of sample and solvent ratio, and 4 times of extraction frequency with the amount was 3.47-3.74%.

POTENSI SPEKTROSKOPI FTIR-ATR DAN KEMOMETRIK UNTUK MEMBEDAKAN RAMBUT BABI, KAMBING, DAN SAPI

Indonesian Journal of Chemical Science Vol 5 No 3 (2016)
Publisher : Indonesian Journal of Chemical Science

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Abstract

Rambut beberapa hewan seperti babi, kambing, dan juga sapi telah digunakan sebagai bahan baku kuas salah satunya kuas untuk produksi makanan seperti kue, roti, dan lainnya. Jika kuas dalam produksi makanan ini terbuat dari rambut babi maka dapat menyebabkan makanan menjadi tidak halal. Oleh karena itu, dalam penelitian ini kami melakukan studi keterlaksanaan penggunaan spektroskopi Fourier transform infrared-attenuated total reflectance (FTIR-ATR) yang dikombinasikan dengan kemometrik untuk mengembangkan metode identifikasi dan diskriminasi rambut babi, kambing, dan sapi. Spektrum FTIR diukur pada bilangan gelombang 1000-4000 cm-1. Intensitas dari kisaran bilangan gelombang 1215-2007 cm-1 dan 3467-3989 cm-1 dipilih untuk membuat model diskriminasi tiga jenis rambut yang digunakan. Pengelompokan sampel berdasarkan jenis rambutnya dilakukan dengan menggunakan analisis gerombol, analisis komponen utama, dan analisis diskriminan. Model diskriminasi menggunakan AKU dan AD dapat memisahkan ketiga jenis rambut hewan yang digunakan dengan AD memberikan pengelompokan yang lebih terpisah satu sama lainnya. Metode kombinasi FTIR-ATR dan kemometrik dimungkinkan untuk digunakan untuk tujuan identifikasi dan diskriminasi rambut babi, kambing dan sapi.

Identifikasi dan Autentikasi Jahe Merah Menggunakan Kombinasi Spektroskopi FTIR dan Kemometrik

Agritech Vol 34, No 1 (2014)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

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Abstract

FTIR spectroscopy combined with principal component analysis and discriminant analysis were used for identification and authentication of jahe merah from its related species namely jahe emprit and jahe gajah. FTIR spectra of all samples were recorded in the wavenumber range 4000-400 cm-1 and then subjected for preprocessing signal such as normalization and baseline correction. Combination of FTIR spectra with some chemometrics method such as principal component analysis and discriminant analysis were used to distinguish the three varieties of ginger. By using discriminant analysis, the three varieties of ginger were classified according to its variety. The developed method could be used for identification and authentication of jahe merah.ABSTRAKSpektroskopi FTIR dan kombinasinya dengan analisis komponen utama dan analisis diskriminan telah digunakan untuk identifikasi dan autentikasi jahe merah dari dua spesies yang berkerabat dengannya yaitu jahe emprit dan jahe gajah. Seluruh contoh dibuat spektrum FTIR pada kisaran bilangan gelombang 4000-400 cm-1 dan diberi perlakuan pendahuluan seperti normalisasi dan koreksi garis dasar. Kombinasi spektrum FTIR dengan beberapa metode kemometrik seperti analisis komponen utama dan analisis diskriminan digunakan untuk membedakan ketiga varietas jahe. Analisis diskriminan dapat mengelompokkan ketiga varietas jahe sesuai dengan jenis varietasnya. Metode yang dikembangkan ini dapat digunakan untuk tujuan identifikasi dan autentikasi jahe merah.

A Simple Photometer and Chemometrics Analysis for Quality Control of Sambiloto (Andrographis paniculata) Raw Material

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

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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

Metabolite Profiling of Tabat Barito (Ficus deltoidea) Using UPLC-QTOF-MS/MS

The Journal of Pure and Applied Chemistry Research Vol 7, No 2 (2018): Edition May-August 2018
Publisher : Chemistry Department, The University of Brawijaya

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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.

L-Histidine-Modified Silica from Rice Husk and Optimization of Adsorption Condition for Extractive Concentration of Pb(II)

The Journal of Pure and Applied Chemistry Research Vol 7, No 2 (2018): Edition May-August 2018
Publisher : Chemistry Department, The University of Brawijaya

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Abstract

A new chelating agent, L-histidine-modified silica from rice husk (LHSRH), was prepared to increase the adsorption capacity and selectivity for Pb(II). LHSRH was synthesized by immobilizing L-histidine on silica from rice husk (RH) modified with 3-aminopropyltrimethoxysilane (APTMS). Silica from rice husk (SRH) was synthesized via precipitation process by adding hydrochloric acid solution to rice husk ash (RHA). The RHA was subsequently destructed with sodium hydroxide and heated to obtain sodium silicate (Na2SiO3). SRH was characterized by Fourier transform infrared spectroscopy and x-ray diffraction. The LHSRH was used further to adsorp Pb(II) metal ion. The pH range, amount of adsorbent, and adsorption time were optimized by response surface methodology. The optimum condition for the adsorption of Pb(II) was pH 5, an amount of adsorbent 0.1 g; and adsorption time 15 minutes. The adsorption capacity for Pb(II) ion was found to be 62.5 mg/g. The adsorption behavior of the matrix followed the Langmuir’s model.