| 引用本文: | 陈斌辉,吕圭源,金伟锋,张佳欢,郑碧莹,任敏霞,吴素香.基于正交设计和BP神经网络-遗传算法多指标综合优化茶叶提取工艺[J].中国现代应用药学,2019,36(10):1223-1228. |
| CHEN Binhui,LYU Guiyuan,JIN Weifeng,ZHANG Jiahuan,ZHENG Biying,REN Minxia,WU Suxiang.Study on Multi-index Comprehensive Optimization of Tea Extraction Process Based on Orthogonal Design and BP Neural Network Genetic Algorithm[J].Chin J Mod Appl Pharm(中国现代应用药学),2019,36(10):1223-1228. |
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| 摘要: |
| 目的 用正交设计及BP神经网络-遗传算法对茶叶提取工艺进行多指标综合优化。方法 以咖啡因、表没食子儿茶素没食子酸酯（epigallocatechin gallate，EGCG）、表儿茶素没食子酸酯（epicatechin gallate，ECG）为考察指标，在单因素实验的基础上，采用正交设计及BP神经网络-遗传算法优选超声辅助提取茶叶中有效成分的工艺，并对2种方法优选所得的工艺进行验证。结果 正交设计得到的最佳提取条件为乙醇浓度85%、浸提温度80℃、超声时间10 min。工艺验证评分为99.050。BP神经网络-遗传算法得到的最优提取方案为乙醇浓度89%、浸提温度88℃、超声时间13 min，网络预测评分为100.758，工艺验证评分为99.651，相对误差为1.099%。结论 BP神经网络-遗传算法数学模型可用于茶叶中有效成分提取工艺预测和优选，且略优于正交设计。 |
| 关键词: 茶叶 BP神经网络 遗传算法 多指标综合评价法 提取工艺 |
| DOI：10.13748/j.cnki.issn1007-7693.2019.10.010 |
| 分类号:R284.1 |
| 基金项目: |
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| Study on Multi-index Comprehensive Optimization of Tea Extraction Process Based on Orthogonal Design and BP Neural Network Genetic Algorithm |
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CHEN Binhui, LYU Guiyuan, JIN Weifeng, ZHANG Jiahuan, ZHENG Biying, REN Minxia, WU Suxiang
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College of Pharmacy, Zhejiang Chinese Medical University, Hangzhou 311402, China
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| Abstract: |
| OBJECTIVE To optimize the extraction process of tea by orthogonal design and BP neural network-genetic algorithm. METHODS Using caffeine, EGCG and ECG as the indexes, based on the single factor experiment, orthogonal design and BP neural network-genetic algorithm were used to optimize the ultrasonic-assisted extraction process of effective components in tea, and these process by the two methods were validated. RESULTS The optimum extraction conditions were 85% ethanol concentration, 80℃ and 10 min ultrasonic time. The validation score was 99.050. The optimum extraction scheme obtained by BP neural network-genetic algorithm was ethanol concentration 89%, extraction temperature 88℃, ultrasonic time 13 min, network prediction score 100.758, process verification score 99.651, relative error 1.099%. CONCLUSION BP neural network-genetic algorithm mathematical model can be used to predict and optimize the extraction process of effective components in tea, and slightly better than orthogonal design. |
| Key words: tea BP neural network genetic algorithm multi-index comprehensive evaluation method extraction process |
