Abstract Essential oil extraction technique from mandarin pixie peels by hydro-distillation is optimized by response surface methodology (RSM). Mathematical techniques were used in experimental design to evaluate the impacts of factors that affect the extraction process and improve the yield of the extraction process. A central mixed design based on influencing variables such as water ratio (3–5 mL/g), temperature (110–130 °C) and extraction time (90–150 min) was adopted with essential oil yield as the target function. Correlation analysis of the mathematical regression model showed that the quadratic polynomial model can be used to optimize hydro-distillation of pixie mandarin oil. The results showed that under the optimum extraction conditions, the highest quantity of essential oils was achieved (7.28 mL/100 g materials). In terms of statistical analysis, the significance levels (p-value <0.05) of the model showed that the experimental results had a good impact between factors. The coefficient of determination indicating the match between the experimental value and the predicted value of the model was high (R2>0.9). The chemical composition of the essential oil was analyzed by Gas Chromatography-Mass Spectrometry, revealing the dominance of limonene content (97.667%), which implies that the essential oil of pixie mandarin could be an alternative source of limonene.

中文翻译：

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响应面法优化研究小精灵柑橘 (Citrus reticulata Blanco) 果皮中精油的水蒸馏

摘要 采用响应面法(RSM)优化了水蒸馏法从小仙子皮中提取精油的工艺。在实验设计中使用数学技术来评估影响提取过程的因素的影响并提高提取过程的产量。采用基于水比（3-5 mL/g）、温度（110-130 °C）和提取时间（90-150 min）等影响变量的中心混合设计，以精油产量为目标函数。数学回归模型的相关性分析表明，二次多项式模型可用于优化小蜜柑油的加氢蒸馏。结果表明，在最佳提取条件下，精油的提取量最高（7.28 mL/100 g 材料）。在统计分析方面，模型的显着性水平（p值<0.05）表明实验结果在因素之间具有良好的影响。表明实验值与模型预测值匹配的决定系数较高（R2>0.9）。通过气相色谱-质谱法分析精油的化学成分，揭示柠檬烯含量占主导地位（97.667%），这意味着小柑橘精油可能是柠檬烯的替代来源。