Elm tree, Ulmus minor Mill. belongs to the Ulmaceae family. Some main compounds in this plant are including mucilage, tannins, caffeic acid derivatives, especially chlorogenic acid (CGA) and sterols. Among them, caffeic acid derivatives, especially chlorogenic acid (CGA) with widespread usage in food, cosmetic and pharmaceutical industries, caught our attention and we decided to detect, quantify and finally optimize its extraction from Elm tree, (Ulmus minor Mill.) fruits. Herein, the extraction process was optimized by means of response surface methodology (RSM). Various factors such as temperature, solvent percentage, solid to solvent ratio and extraction time can be effective in an extraction. Screening and selection of important factors was accomplished by 2- level full factorial design and the result of normal probability plot. Based on the results the effect of time was not important and in the next stage of the study using RSM was omitted. In this step, 3-level full factorial central composite rotatable design (CCRD) was used for optimization, in which the temperature, ethanol percent, and solvent ratio were relevant independent variables. Based on the practical results by HPLC and statistical analysis, the optimum conditions for maximum yield was when temperature, solvent to solid ratio and solvent percent were equal to 54.98 °C, 40 (mL/g) and 70% (v/v), respectively, and its desirability function was 0.94.

榆树，榆树小磨坊。属于Ulmaceae家族。该植物中的一些主要化合物包括粘液，单宁，咖啡酸衍生物，尤其是绿原酸（CGA）和固醇。其中，咖啡酸衍生物，尤其是绿原酸（CGA），在食品，化妆品，医药等行业广泛使用，引起了我们的关注，我们决定来检测，量化和优化最终从榆树，它的提取（小榆磨。）水果。在此，通过响应面法（RSM）对提取工艺进行了优化。温度，溶剂百分比，固溶比和萃取时间等各种因素在萃取中均可有效。重要因素的筛选和选择是通过2级全因子设计和正态概率图的结果完成的。根据结果​​，时间的影响并不重要，在下一阶段使用RSM的研究被省略了。在此步骤中，使用三级全因子中心复合材料可旋转设计（CCRD）进行优化，其中温度，乙醇百分比和溶剂比率是相关的独立变量。根据HPLC的实际结果和统计分析，获得最大产量的最佳条件是温度，