The goal of this study was to optimize an innovative ultrahigh-pressure–assisted extraction method for phenolic compounds of date palm (Phoenix dactylifera L.) using response surface methodology (RSM). A four-factor-three-level Box–Behnken design (BBD) was used to test the following extraction parameters: ethanol concentration (X₁), solvent to sample ratio (X₂), temperature (X₃), and pressure (X₄). Analysis of variance (ANOVA) results revealed that the main treatment X₁, X₂, and X₄ significantly affected extraction yield, while X₃ did not. The optimum response for the combination of phenolic compounds and antioxidant activity was obtained with following extraction parameters predicted by the model: X₁ = 60.54% (v/v), X₂ = 70 mL/g, X₃ = 65 °C, and X₄ = 600 MPa. These parameters were validated in an additional experiment carried out under the optimal conditions given by experimental results; the experimental values obtained were in close agreement with the predicted values. This suggests that the RSM BBD model described in this work is an efficient quantitative tool to predict the extraction efficiency of polyphenols and antioxidants capacity from date palm fruit.

这项研究的目的是使用响应面方法（RSM）优化一种创新的超高压辅助提取方法，用于枣果酚类化合物（Phoenix dactylifera L.）。四因子三级Box–Behnken设计（BBD）用于测试以下提取参数：乙醇浓度（X ₁），溶剂与样品的比例（X ₂），温度（X ₃）和压力（X ₄）。方差分析（ANOVA）结果显示，主要处理方法X ₁，X ₂和X ₄显着影响提取率，而X₃没有。通过模型预测的以下提取参数可获得酚类化合物和抗氧化剂活性组合的最佳响应：X ₁ = 60.54％（v / v），X ₂ = 70 mL / g，X ₃ = 65°C和X ₄＝ 600MPa。这些参数在实验结果给出的最佳条件下进行的另一实验中得到了验证；获得的实验值与预测值非常吻合。这表明在这项工作中描述的RSM BBD模型是一种有效的定量工具，可以预测从枣椰子果实中提取多酚和抗氧化剂的能力。