Chemical fingerprint analysis for quality assessment and control of Curcuma longa L. rhizomes from Vietnam using a high-performance liquid chromatography-diode array detector (HPLC-DAD)

Pharmacia Pub Date : 2024-07-02 DOI:10.3897/pharmacia.71.e124050

Tho Do Chau Minh Vinh, Sil Nguyen Thanh, Ngan Nguyen Thanh, Tham Le Kim, Thi Huynh Huynh Anh, Giang Le Thi Truc, Mai Nguyen Thi Hong

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Abstract

Turmeric, extensively cultivated across Southeast Asia, especially in Vietnam, harbors active polyphenols, primarily curcumin (2–5%), renowned for its diverse health benefits. Pharmacopoeias recognize turmeric, yet it lacks standardized quality assessments and encounters challenges in extraction and identification due to natural variations and adulteration. This analytical method is vital for verifying the authenticity, purity, and quality of turmeric products in both the pharmaceutical and nutraceutical industries. This study successfully developed an efficient extraction process for curcumin (CUR), demethoxycurcumin (DMC), and bisdemethoxycurcumin (BDMC) from Curcuma longa L. rhizomes. The herbal powder was extracted with methanol (1:30, w/v) by the ultrasound-assisted method for 10 minutes, and this process was repeated three times. A high-performance liquid chromatography-diode array detector (HPLC-DAD) method was validated for the simultaneous quantification of three analytes, following the AOAC guideline and achieving a correlation coefficient (R2) value greater than 0.9950. Utilizing the HPLC-DAD method, the study developed a chemical fingerprint analysis for three analytes to identify the characteristic chemical components distinguishing turmeric from each region. Nineteen samples collected from various provinces across Vietnam were subjected to analysis. In all analyzed samples, the concentrations of CUR, DMC, and BDMC ranged from 0.77–10.30%, 0.33–6.92%, and 0.03–3.23%, respectively. CUR was determined to be the dominant compound in most samples, while BDMC consistently exhibited the lowest levels of content. Utilizing the findings derived from the analysis of RRT and RPA metrics, the research assessed variances across sample batches. It is suggested that this newly established approach can be applied to construct and develop raw material areas to serve the needs of each field.

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利用高效液相色谱-二极管阵列检测器（HPLC-DAD）进行化学指纹分析，以评估和控制越南姜黄根茎的质量

姜黄在东南亚（尤其是越南）广泛种植，含有活性多酚，主要是姜黄素（2-5%），因其多种健康益处而闻名。药典认可姜黄，但它缺乏标准化的质量评估，并且由于自然变化和掺假，在提取和鉴定方面面临挑战。这种分析方法对于验证姜黄产品在制药和保健品行业的真实性、纯度和质量至关重要。本研究成功开发了一种从姜黄根茎中提取姜黄素（CUR）、去甲氧基姜黄素（DMC）和双去甲氧基姜黄素（BDMC）的高效提取工艺。采用超声波辅助法，用甲醇（1:30，w/v）萃取草药粉末 10 分钟，重复三次。采用高效液相色谱-二极管阵列检测器（HPLC-DAD）方法同时定量分析了三种分析物，该方法符合 AOAC 指南，相关系数（R2）大于 0.9950。利用 HPLC-DAD 方法，该研究对三种分析物进行了化学指纹分析，以确定区分各地区姜黄的特征化学成分。对从越南各省采集的 19 个样品进行了分析。在所有分析样本中，CUR、DMC 和 BDMC 的浓度分别为 0.77-10.30%、0.33-6.92% 和 0.03-3.23%。经测定，CUR 是大多数样品中的主要化合物，而 BDMC 的含量一直最低。研究利用 RRT 和 RPA 指标分析得出的结果，对不同批次样品的差异进行了评估。建议将这种新建立的方法应用于构建和开发原材料领域，以满足各个领域的需求。

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Pharmacia

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