In this work, tangerine peel oil extraction is carried out by applying the supercritical carbon dioxide (scCO₂) extraction. The effect of extraction parameters on extraction yield was discussed, at particle size of 0.2-1.0mm, temperature of 35-55°C, pressure of 10-30MPa and extraction time of 0-180min. And the response surface methodology (RSM) with a Box-Behnken Design (BBD) was applied to obtain the optimal extraction conditions. Based on this investigation, it is indicated that the optimized operation conditions for tangerine peel oil extraction was temperature 45°C, pressure 14MPa and extraction time 147min, and the largest experimental yield of tangerine peel oil was 1.34%. Moreover, a gas chromatography-mass spectrometry (GC-MS) analysis was used to determine the chemical composition of tangerine peel oil. The major compounds found in the tangerine peel oil were n-hexadecanoic acid (14.62%), linoleic acid (32.3%) and oleic acid (20.42%). Finally, two kinetic models were used to correlate the experimental results, and the parameters in both models have been optimized by simulating annealing (SA) algorithm. The results show that the overall average absolute relative deviation (AARD) values of model I and model II are 3.42% and 2.76%, respectively. The AARD value of model II is smaller and the application of model II is more extensive. The extraction parameters optimization, chemical composition analysis and kinetics modelling can provide theoretical basis for industrialization of extraction of tangerine peel oil.

在这项工作中，通过施加超临界二氧化碳（scCO ₂）提取。讨论了萃取参数对萃取收率的影响，粒径为0.2-1.0mm，温度为35-55℃，压力为10-30MPa，萃取时间为0-180min。并采用Box-Behnken设计（BBD）的响应面法（RSM）来获得最佳提取条件。根据此研究结果表明，陈皮油的最佳提取工艺条件为温度45℃，压力14MPa，萃取时间147min，陈皮油的最大实验得率为1.34％。此外，使用气相色谱-质谱（GC-MS）分析来确定橘皮油的化学成分。橘皮油中发现的主要化合物为n-十六烷酸（14.62％），亚油酸（32.3％）和油酸（20.42％）。最后，使用两个动力学模型来关联实验结果，并且通过模拟退火（SA）算法对两个模型中的参数进行了优化。结果表明，模型I和模型II的总体平均绝对相对偏差（AARD）值分别为3.42％和2.76％。模型II的AARD值较小，模型II的应用范围更广。提取参数的优化，化学成分分析和动力学建模可为橘皮油的提取工业化提供理论依据。