Preet Raman, Gupta Raghbir Chand
Department of Botany, Punjabi University, Patiala, Punjab, India.
Adv Pharmacol Sci. 2018 Nov 8;2018:8546306. doi: 10.1155/2018/8546306. eCollection 2018.
In the present study, HPTLC is used to detect the presence and amount of triterpenoids and phytosterols in different plant parts (fruit, stem, leaf, and root) of Schrad. and Wendl.; such analysis is done for the first time. Each plant part has its own medicinal value and is used as medicinal herb. The employed statistical analysis ensures that the developed method is reproducible and selective. The results show that the fruit samples contain highest amount of tested phytochemicals. This method can be used as an important tool to ensure the therapeutic dose in herbal formulations, standardization, and quality control of bulk drugs.
在本研究中，采用高效薄层色谱法（HPTLC）检测了Schrad.和Wendl.不同植物部位（果实、茎、叶和根）中三萜类化合物和植物甾醇的存在及含量；此类分析首次进行。每个植物部位都有其自身的药用价值，并被用作草药。所采用的统计分析确保了所开发方法的可重复性和选择性。结果表明，果实样品中所含被测植物化学成分的量最高。该方法可作为确保草药制剂治疗剂量、实现原料药标准化和质量控制的重要工具。
