Marchelak Anna, Olszewska Monika Anna, Owczarek Aleksandra
Department of Pharmacognosy, Faculty of Pharmacy, Medical University of Lodz, 1 Muszynskiego St., 90-151, Lodz, Poland.
Data Brief. 2020 Feb 22;29:105319. doi: 10.1016/j.dib.2020.105319. eCollection 2020 Apr.
This paper presents data on the optimization and validation of an RP-HPLC-PDA method for quantification of 30 phenolic constituents of the blackthorn ( L.) flower. The method development data cover detailed descriptions of the optimization process in terms of elution solvents, gradient profile, temperature, and flow rate. The validation data cover accuracy and precision (intra- and inter-day variability) for retention times and peak areas. Moreover, the quantification data for the commercial samples of blackthorn flower (different manufactures and years of collection), as well as for the extracts (of different polarity) prepared thereof, are included. The data presented here were related to the article: "Simultaneous quantification of thirty polyphenols in blackthorn flowers and dry extracts prepared thereof: HPLC-PDA method development and validation for quality control" [1].
本文介绍了用于定量测定黑刺李（Prunus spinosa L.）花中30种酚类成分的反相高效液相色谱-光电二极管阵列检测（RP-HPLC-PDA）方法的优化和验证数据。方法开发数据涵盖了在洗脱溶剂、梯度曲线、温度和流速方面优化过程的详细描述。验证数据涵盖了保留时间和峰面积的准确度和精密度（日内和日间变异性）。此外，还包括黑刺李花商业样品（不同制造商和采集年份）及其制备的提取物（不同极性）的定量数据。此处呈现的数据与文章《黑刺李花及其制备的干提取物中30种多酚的同时定量：用于质量控制的HPLC-PDA方法开发与验证》[1]相关。
