| 杨海燕，王丁禾，段之阳，杨晶，吴卓夫.响应面法联合人工神经网络优化
亚麻荠油体提取工艺[J].中国油脂,2026,51(6):.[YANG Haiyan, WANG Dinghe, DUAN Zhiyang, YANG Jing, WU Zhuofu.Extraction process optimization of camelina oil body by response surface methodology and artificial neural network[J].China Oils and Fats,2026,51(6):.] |
| 响应面法联合人工神经网络优化
亚麻荠油体提取工艺 |
| Extraction process optimization of camelina oil body by response surface methodology and artificial neural network |
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投稿时间：2025-01-23 修订日期：2026-02-23 录用日期：2025-07-01
出版日期：2026-06-20
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| DOI：10.19902/j.cnki.zgyz.1003-7969.250050 |
| 中文关键词: 亚麻荠油体 提取 粒径 响应面 人工神经网络 遗传算法 |
| 英文关键词:camelina oil body extraction particle size response surface methodology artificial neural network genetic algorithm |
| 基金项目:吉林省科学技术厅重点研发项目(20220202081NC) |
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| 中文摘要: |
| 为了在保证油体基本物理稳定性的前提下，获得高提取率的油体，利用响应面(RSM)联合人工神经网络（ANN）优化亚麻荠油体提取工艺。以亚麻荠油体得率、粒径及Zeta电位为指标，采用单因素试验考察工艺条件对亚麻荠油体提取的影响，并建立响应面模型，在此基础上采用ANN和遗传算法（GA）寻优得到亚麻荠油体最优提取工艺。结果表明：亚麻荠油体的最优提取工艺条件为料液比1∶ 20.45、pH 12.28、NaCl 浓度 0.53 mol/L、蔗糖浓度 0.8 mol/L、研磨时间60 s，在此条件下亚麻荠油体得率为41.7%，粒径为438 nm，Zeta电位为-19.1 mV。综上，采用RSM-ANN-GA进行工艺优化能够有效预测并提高亚麻荠油体提取效率。 |
| 英文摘要: |
| Aiming to obtain a high extraction yield of oil body while ensuring their basic physical stability, the extraction process of camelina oil body was optimized using response surface methodology (RSM) combined with artificial neural network (ANN). The Effect of process conditions on camelina oil body extraction was investigated by single-factor experiments, and response surface model was established with the yield of oil body, particle size, and Zeta potential as the evaluation indicators. On this basis, ANN and genetic algorithm (GA) were used to search for the optimal extraction process. The results showed that the optimal process conditions were as follows: solid-liquid ratio 1∶ 20.45, pH 12.28, NaCl concentration 0.53 mol/L, sucrose concentration 0.8 mol/L, and grinding time 60 s. Under these conditions, the yield of camelina oil body was 41.7%, with a particle size of 438 nm and a Zeta potential of -19.1 mV. In conclusion, the RSM-ANN-GA-based process optimization can effectively predict and improve the extraction efficiency of camelina oil body. |
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