Quantifying Curcumin, Gallic Acid, and Resveratrol in a Polyherbal Mixture: a Robust HPTLC Method

IF 1
S. Gandhi, Gresi D. Mate, D. Nagore, S. Chitlange
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Abstract

The need for this study arises from the growing importance of polyherbal formulations in herbal medicine, particularly due to their potential health benefits and synergistic effects. In this research, development and validation of an HPTLC method for simultaneous quantification of curcumin, gallic acid, and resveratrol in a polyherbal mixture are primary focus. Additionally, study assesses the Total Phenolic Content (TPC), Total Flavonoid Content (TFC) and antioxidant potential using the 2,2-diphenyl-1-picrylhydrazyl (DPPH) assay. The results reveal that TPC is 212.1 mg gallic acid equivalent per gram of plant material, and the TFC is 133.06 mg rutin equivalent per gram of plant material. Notably, DPPH assay demonstrates mixture's robust antioxidant activity, with an IC50 value of 3.83 µg/ml. Furthermore, HPTLC method used a carefully optimized mobile phase, providing excellent resolution for gallic acid, resveratrol, and curcumin with corresponding Rf values of 0.18, 0.43, and 0.53. This method is highly linear over a concentration range of 200-1000 ng/band for all three compounds. Precision studies confirm method's reproducibility with low Relative Standard Deviation values below 2 %. Ultimately, this HPTLC method offers a simple, accurate, precise, and cost-effective solution for routine quality control analysis, shedding light on potential applications of the polyherbal mixture in various therapeutic contexts.
多草药混合物中姜黄素、没食子酸和白藜芦醇的定量:一种可靠的 HPTLC 方法
这项研究的必要性源于多草药配方在草药中日益增长的重要性,特别是由于其潜在的健康益处和协同效应。本研究的主要重点是开发和验证一种 HPTLC 方法,用于同时定量检测多草药混合物中的姜黄素、没食子酸和白藜芦醇。此外,研究还采用 2,2-二苯基-1-苦基肼(DPPH)检测法评估了总酚含量(TPC)、总类黄酮含量(TFC)和抗氧化潜力。结果显示,每克植物材料的总黄酮含量为 212.1 毫克没食子酸当量,每克植物材料的总黄酮含量为 133.06 毫克芦丁当量。值得注意的是,DPPH 试验表明混合物具有很强的抗氧化活性,其 IC50 值为 3.83 µg/ml。此外,HPTLC 方法采用了精心优化的流动相,对没食子酸、白藜芦醇和姜黄素具有极佳的分辨率,相应的 Rf 值分别为 0.18、0.43 和 0.53。该方法在 200-1000 纳克/带的浓度范围内对所有三种化合物都具有很高的线性。精密度研究证实了该方法的重现性,相对标准偏差值低于 2%。最终,该 HPTLC 方法为常规质量控制分析提供了一种简单、准确、精确且经济高效的解决方案,为多草药混合物在各种治疗领域的潜在应用提供了启示。
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