Natural Products & Food Research and Analysis (NatuRA), Department of Pharmaceutical Sciences, University of Antwerp, Universiteitsplein 1, 2610, Antwerp, Belgium.
Laboratory of Pharmaceutical Technology and Biopharmacy, Department of Pharmaceutical Sciences, University of Antwerp, Universiteitsplein 1, 2610, Antwerp, Belgium.
Sci Rep. 2019 Feb 14;9(1):2028. doi: 10.1038/s41598-018-37607-2.
Cecropia species are traditionally used in Latin American folk medicine and are available as food supplements with little information warranting their quality. The optimum conditions for the extraction of chlorogenic acid (CA), total flavonoids (TF) and flavonolignans (FL) from leaves of Cecropia species were determined using a fractional factorial design (FFD) and a central composite design (CCD). A reversed-phase high-performance liquid chromatographic method coupled to a diode array detector (HPLC-DAD) was validated for the quantification of CA, TF and FL, following the ICH guidelines. Quantitative and Principal Component Analysis (PCA) was also performed. The extraction-optimization methodology enabled us developing an appropriate extraction process with a time-efficient execution of experiments. The experimental values agreed with those predicted, thus indicating suitability of the proposed model. The validation parameters for all chemical markers of the quantification method were satisfactory. The results revealed that the method had excellent selectivity, linearity, precision (repeatability and intermediate precision were below than 2 and 5%, respectively) and accuracy (98-102%). The limits of detection and quantification were at nanogram per milliliter (ng/mL) level. In conclusion, the simultaneous quantification of chemical markers using the proposed method is an appropriate approach for species discrimination and quality evaluation of Cecropia sp.
赛洛菲亚属植物在拉丁美洲民间医学中被广泛应用，并作为食品补充剂出售，但关于其质量的信息却很少。本研究采用部分因子设计（FFD）和中心复合设计（CCD）确定了从赛洛菲亚属植物叶片中提取绿原酸（CA）、总黄酮（TF）和黄酮木脂素（FL）的最佳条件。采用反相高效液相色谱法（HPLC）结合二极管阵列检测器（DAD），按照 ICH 指南对 CA、TF 和 FL 进行定量分析。还进行了定量和主成分分析（PCA）。该提取优化方法使我们能够开发出一种合适的提取工艺，实验执行效率高。实验值与预测值吻合，表明所提出的模型是合适的。定量方法的所有化学标志物的验证参数均令人满意。结果表明，该方法具有良好的选择性、线性、精密度（重复性和中间精密度均低于 2%和 5%）和准确度（98-102%）。检测限和定量限均达到纳克/毫升（ng/mL）水平。总之，采用该方法同时定量分析化学标志物是鉴别赛洛菲亚属植物物种和评价其质量的一种合适方法。
