scholarly journals Validation Analysis Methods of a-Mangostin, ?-Mangostin and Gartanin Mixture in Mangosteen (Garcinia mangostana L.) Fruit Rind Extract from West Java with HPLC

Planta Medica ◽  
2009 ◽  
Vol 75 (09) ◽  
Author(s):  
W Pothitirat ◽  
P Pithayanukul ◽  
MT Chomnawang ◽  
W Gritsanapan

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Sundararaju Dodda ◽  
Venkata Krishnaraju Alluri ◽  
Trimurtulu Golakoti ◽  
Krishanu Sengupta

The present communication describes a battery of toxicity studies that include an acute oral toxicity, a subacute twenty-eight-day repeated oral dose toxicity, and genotoxicity studies on a herbal formulation CinDura® (GMCT). This proprietary herbal composition contains the extracts of the Garcinia mangostana fruit rind (GM) and the Cinnamomum tamala leaf (CT). The toxicological evaluations were performed following the Organization for Economic Cooperation and Development (OECD) guidelines. The acute oral toxicity study in Wistar rats suggests that the median lethal dose of CinDura® is at least 2000 mg/kg body weight. Acute dermal and eye irritation tests in New Zealand white rabbits indicate that the test item is nonirritant to the skin and eyes. A twenty-eight-day repeated dose oral toxicity study was conducted in male and female Wistar rats using daily doses of 250, 500, and 1000 mg/kg body weight, followed by a fourteen-day reversal period for two satellite groups. The CinDura®-supplemented animals did not show any sign of toxicity on their body weights, organ weights, and on the hematobiochemical parameters. The gross pathology and histopathological examinations indicated no treatment-related changes in the experimental animals. Overall, the no-observed-adverse-effect level (NOAEL) of the herbal blend is 1000 mg/kg body weight, the highest tested dose. Also, the results of the bacterial reverse mutation test and the erythrocyte micronucleus assay in mouse bone marrow suggest that CinDura® (GMCT) is neither mutagenic nor clastogenic.


2017 ◽  
Author(s):  
Retno Astuti ◽  
Marimin Marimin ◽  
Machfud ◽  
Roedhy Poerwanto ◽  
Yandra Arkeman

Mangosteen (Garcinia mangostana L.) is the highly demanded fruit for export commodity from Indonesia. The biggest mangosteen production center in Indonesia is West Java Province that includes Purwakarta, Subang, Bogor, and Tasikmalaya contributing 90% of mangosteen production in West Java Province and 29% of national mangosteen production. The activities of mangosteen production in West Java Province have not been efficient yet, so the potential source of the fruit in West Java Province is not efficient enough to compete internationally. In order to have competitive advantages, supply chain management in mangosteen business was initiated in Bogor district in 2007 which integrated processes from receiving raw material to selling finished products. Identification of key performance indicators is necessary to improve the performance of emerging mangosteen supply chain in Bogor district. Data and information were collected through surveys, participative discussions and a review of literature. The chain characteristics were mapped to describe the flow of product, funds and information. Fuzzy Analytical Hierarchy process was performed to identify key performance indicators of emerging mangosteen supply chain in Bogor District. The results of the analysis showed that the total supply chain cost, perfect order fulfillment, and order fulfillment cycle time were the most important key performance indicators in reducing risk of business process in emerging supply chain of mangosteen in Bogor District, West Java, Indonesia.


2008 ◽  
Vol 91 (5) ◽  
pp. 1145-1148 ◽  
Author(s):  
Werayut Pothitirat ◽  
Wandee Gritsanapan

Abstract The fruit rinds of mangosteen (Garcinia mangostana Linn.) have long been used as traditional medicines for treatment of skin infections, wounds, and diarrhea. A simple thin-layer chromatography (TLC)-densitometric method has been developed for the simultaneous quantification of -mangostin in the extracts from unripe and ripe fruit rinds of G. mangostana. It was found in the ranges of 10.48 0.83 and 16.65 0.38 (w/w) in the dried unripe and ripe fruit rinds, respectively. The method was validated for linearity, precision, accuracy, limit of detection (LOD), and limit of quantitation (LOQ). The linearity was found over the range of 100500 ng/spot with regression coefficient 0.999. Intraday and interday precision studies showed the relative standard deviation was <2. Accuracy of the method was determined by a recovery study conducted at 3 different levels, and the average recovery was 99.49. The LOD and LOQ were 40 and 100 ng, respectively. The proposed TLC-densitometric method was found to be simple, precise, specific, sensitive, and accurate. This method can be used for routine quality control of raw material of G. mangostana fruit rind, extract, and its products. It also can be applied in quantifying this marker compound in other drugs.


2021 ◽  
Vol 14 (02) ◽  
pp. 1051-1057
Author(s):  
Ni Putu Ayu Dewi Wijayanti ◽  
Putu Sanna Yustiantara ◽  
I Wayan Agus Widiantara

The mangosteen fruit rind fraction positively contains flavonoids and polyphenols which can act as an antioxidant anti-inflammatory. The use of mangosteen rind fraction in topical preparations requires a good delivery system to support percutaneous penetration, one of which is nanoemulsion. The topical use of nanoemulsion has low viscosity and to increase the penetration of active compound, therefore it needs to be formulated into nanoemulgel preparations. In formulating nanoemulgel preparations, the optimum concentration of gelling agents is needed to obtain a nanoemulgel that meets the physical and chemical characteristics of the gel preparation. Therefore we need an optimization of glyceryl polyacrylate gelling agent in order to obtain a nanoemulgel with good characteristics. Nanoemulgel for mangosteen rind fraction was made in four formulas with gelling agent concentrations of glyceryl polyacrylate as much as 1% (F1), 2% (F2), 3% (F3), and 4% (F4). The nanoemulgel has been evaluated for its physical and chemical characteristics including organoleptic test, homogeneity, adhesion, viscosity, dispersibility, and pH. The active substance release test is carried out on a gel that meets the overall requirements for physical and chemical properties. The analysis showed that the F1 produced a nanoemulgel that met the physical and chemical characteristics of the semisolid preparations. Organoleptic of F1 isi semisolid form with yellow color and typically garcinia fruit rind fraction odor, homogen mixture, 1 ± 0.02s adhesion, 8340 ± 555 viscosity, 6.87 ± 0.39 cm2 spreadability, and 6.39 ± 0.01 pH. The results of the release of active substances showed that the F1 formula was able to release 49.9% of active substances in 10 minutes and within 480 minutes was able to release 96.54% of active substances with a total flux of 5.36 µg / cm2 minutes which fulfill the release requirement.Based on these results, it can be concluded that glyceryl polyacrylate with a concentration of 1% can produce good nanoemulgel.


2016 ◽  
Vol 11 (1) ◽  
pp. 38
Author(s):  
Liliek Nurhidayati ◽  
Siti Sofiah ◽  
Ros Sumarny ◽  
Kevin Caesar

<p>Mangosteen fruit rind extract contain a lot of antioxidants. α-Mangostin is a component in mangosteen fruit rind that has highest antioxidant effect. The oral solution containing mangosteen fruit rind extract is required an assay method for quality assessment. Determination of a very low concentration of analyte in sample with very complex matrix, such as α-mangostin in oral solution, needs a selective and sensitive method, such as high performance liquid chromatography (HPLC). In this study, α-mangostin assay was performed by reverse phase HPLC system using octadecylsilane (C18) as stationary phase,  methanol-water (90:10) as mobile phase, the flow rate is 1.0 mL/min, and the UV detector at 316 nm. The retention time of α-mangostin was 9.622 minutes. Peak of α-mangostin was well separated with resolution of 1.725. Linearity was in the range of 1.67-5.01 ppm with correlation coefficient of 0.9986. The relative standard deviation (RSD) was 1.30 %, the recovery was in the range of 95.80-100.76 </p>


2011 ◽  
Vol 2 (1) ◽  
Author(s):  
Zainul Arham ◽  
Ferriyati Masitoh ◽  
Siti Muhajaroh

Nowadays, Technologiy is growing rapidly computer the one of example of technology, helps the human being to fulfill their need of  information. The development of  information technology and computer make the data more regular and can be seen better and faster and also make the updating data easier for example geographical information system. The development of geographical is information system in technology have create wide potention in its application in the agriculture’s sector for example doserve the condition and the growth of plants substances. The write used data interpolation and ModelBuilder method as the design of the study. Data interpolation was used to make a continue grid of theme of the shapefile  point of the data, where as ModelBuilder was a collection of processes which was done on spacial data to procedure certain information in the form of the map. The data which were used in this study were spacial data that Java Province’s map in the form of shapefile and non special data that were climate data including rainfall, temperature and humidity and the appropriateness of mangosteen angoclimate’s data. The data showed that the appropriateness of agroclimate for mangosteen plant in west Java Province’s was dominated by S2 in therm of  climate point of view.   Keywords: geographical information system (SIG), Mangostenn (gatcinia mangostana linn), Agroclimate, West Java Privince’s, ModelBuilder.


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