This study aims to study the chemical constituent of essential oil from Citrus × aurantium Changshan-huyou pericarp (CP) and optimize the extraction conditions.The essential oil constituents in CP were extracted by steam distillation,and GC-MS was applied to qualitatively analyze the chemical constituents of essential oil in CP.The single-factor test was used to investigate the effect of different extraction conditions on the extraction yield of essential oil.Response surface methodology optimization and artificial neural network were used to screen the optimal extraction process of essential oil.The results showed that the main constituents in CP essential oil was D-limonene.The optimal technological parameters were as follows:particle size of 24 mesh,distilled water soaking for 1 h,liquid-solid ratio 34.86 mL/g,extraction temperature 300.00 ℃,extraction time 166.21 min,under these conditions,the extraction yield of the essential oil was 0.82%.The combination of response surface methodology and artificial neural network can effectively optimize the target by using the existing data.Meanwhile,CP essential oil possessed significant scavenging ability on DPPH free radical (IC₅₀ value = 65.01 mg/mL),indicating that CP essential oil had a certain degree of antioxidant activity.

"> Citrus × aurantium Changshan-huyou, essential oil, steam distillation, response surface methodology optimization, artificial neural network