Caroline Dwiseptianti, F. Susanto, Yekti Asih Purwestri, T. R. Nuringtyas
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Information about the quality of turmeric is needed in its use as a raw material for drugs so we need an analytical technique that is able to identify the diversity of metabolite profiles of active compounds. In this research, an optimization method is used to improve efficiency in the extraction of turmeric rhizome metabolites so that the best solvent concentration is known for the analysis of fingerprinting secondary metabolites with 1H-NMR 500 MHz spectroscopy in turmeric rhizomes. The results were analyzed with MNOVA software and chemical shift obtained compared with the reference. From the results obtained a concentration of methanol-d4 (CD3OD) 100% able to extract curcumin better than other solvents. 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引用次数: 0
摘要
药用植物由于缺乏引起的副作用和大量的化学合成化合物所不能代表的生物活性化合物而被越来越多地使用。然而,主要用于治疗疾病的天然药物的管理和使用往往受到成分质量低和不稳定的阻碍。印尼天然药物标准化质量控制体系是提高印尼草药临床保障和使用安全性的关键。众所周知的药用植物之一是姜黄(Curcuma longa L.)。姜黄中含有的主要活性成分是姜黄素、姜黄素、双姜黄素和姜黄素。姜黄作为药物原料的使用需要有关其质量的信息,因此我们需要一种能够识别活性化合物代谢物谱多样性的分析技术。本研究通过优化提取方法,提高了姜黄根茎代谢物的提取效率,为姜黄根茎中指纹次生代谢物的1H-NMR 500 MHz光谱分析确定了最佳溶剂浓度。用MNOVA软件对结果进行了分析,并与参考文献进行了比较。结果表明,浓度为100%的甲醇-d4 (CD3OD)对姜黄素的提取效果优于其他溶剂。该溶剂能够以蔗糖的形式提取糖类(糖)化合物,以蛋氨酸、谷氨酰胺、醋酸酯和甘油磷酸胆碱的形式提取氨基酸和脂肪酸。
Optimasi Metode 1H-NMR Profiling pada Rimpang Kunyit (Curcuma domestica)
The use of medicinal plants is increasing due to the lack of side effects caused and the number of bioactive compounds that cannot be represented by synthetic chemical synthesis compounds. However, the management and use of natural medicines for the main handling of diseases are often hampered by the quality of the ingredients which are low and unstable. The standardized quality control system of OAI (Indonesian Natural Medicine) is the main key to improve clinical assurance and safety of the use of herbal medicines in Indonesia. One of the medicinal plants known to the public is Curcuma longa L. (turmeric). The main active components contained in turmeric are curcumin, demetoksikurkumin, bis-demetoksikurkumin, and ar-turmeron. Information about the quality of turmeric is needed in its use as a raw material for drugs so we need an analytical technique that is able to identify the diversity of metabolite profiles of active compounds. In this research, an optimization method is used to improve efficiency in the extraction of turmeric rhizome metabolites so that the best solvent concentration is known for the analysis of fingerprinting secondary metabolites with 1H-NMR 500 MHz spectroscopy in turmeric rhizomes. The results were analyzed with MNOVA software and chemical shift obtained compared with the reference. From the results obtained a concentration of methanol-d4 (CD3OD) 100% able to extract curcumin better than other solvents. The solvent is able to extract saccharide (sugar) compounds in the form of sucrose, amino acids and fatty acids in the form of methionine, glutamine, acetate, and glycero phospho choline.