| 黄万有,李德涛,刘书成,等.神经网络优化富集EPA和DHA甘油酯的工艺研究[J].中国油脂,2013,38(7):.[HUANG Wanyou,LI Detao,LIU Shucheng,etc.Optimization of enrichment process of DHA and EPA glycerides using neural network[J].China Oils and Fats,2013,38(7):.] |
| 神经网络优化富集EPA和DHA甘油酯的工艺研究 |
| Optimization of enrichment process of DHA and EPA glycerides using neural network |
| |
| DOI： |
| 中文关键词: 神经网络 鱼油 脂肪酶 EPA DHA 富集 |
| 英文关键词:neural network fish oil lipase EPA DHA enrichment |
| 基金项目: |
|
| 摘要点击次数: 1538 |
| 全文下载次数: 0 |
| 中文摘要: |
| 以军曹鱼内脏油为原料，采用脂肪酶OF水解法富集鱼油中EPA和DHA甘油酯，应用神经网络优化其水解工艺参数。结果表明：在缓冲溶液pH 7.0反应体系中，水油质量比3∶1、反应温度40～45℃和脂肪酶用量1.5%，富集鱼油中DHA与EPA总含量可达32.10%,富集的鱼油色泽亮黄，澄清透明，具有淡的鱼腥味，理化指标达到了SC/T 3502—2000精制鱼油的二级标准。 |
| 英文摘要: |
| EPA and DHA glycerides in fish oil from cobia viscera were enriched by lipase OF hydrolysis and the hydrolysis parameters were optimized using neural network. The results showed that when the mass ratio of water to oil was 3∶1, reaction temperature was 40-45℃ and dosage of lipase was 1.5% in the reaction system of buffer solution （pH 7.0）, the total content of DHA and EPA in the enriched fish oil was 32.10%. The enriched fish oil had the characteristics of brilliant yellow color, clear and transparent with slight fishy smell, and the physical and chemical indexes were accordance with the secondary standard of refined fish oil in SC/T 3502—2000. |
| 查看全文 查看/发表评论 下载PDF阅读器 |
| 关闭 |
|
|
|
