|本期目录/Table of Contents|

[1]李伯齐,郭建军,胡万哉,等.基于GA-BPNN优化铁皮石斛多糖提取工艺[J].浙江理工大学学报,2021,45-46(自科五):697-703.
 LI Boqi,GUO Jianjun,HU Wanzai,et al.Optimization of the extraction process of  Dendrobium officinale  polysaccharide based on GABPNN[J].Journal of Zhejiang Sci-Tech University,2021,45-46(自科五):697-703.
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基于GA-BPNN优化铁皮石斛多糖提取工艺()
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浙江理工大学学报[ISSN:1673-3851/CN:33-1338/TS]

卷:
第45-46卷
期数:
2021年自科第五期
页码:
697-703
栏目:
出版日期:
2021-09-10

文章信息/Info

Title:
Optimization of the extraction process of  Dendrobium officinale  polysaccharide based on GABPNN
文章编号:
1673-3851 (2021) 09-0697-07
作者:
李伯齐郭建军胡万哉梁宗锁侯卓妮
浙江理工大学生命科学与医药学院,杭州 310018
Author(s):
LI Boqi GUO Jianjun HU Wanzai LIANG Zongsuo HOU Zhuoni
College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, 310018
关键词:
BP神经网络铁皮石斛多糖正交设计纤维素酶木瓜蛋白酶还原糖超声提取
分类号:
R 284-2
文献标志码:
A
摘要:
为了优化铁皮石斛多糖提取工艺,采用单因素实验考察超声功率、超声时间、纤维素酶浓度、木瓜蛋白酶浓度、液料比和浸提温度等因素的影响,然后采用正交设计试验方法安排实验,通过Matlab建立三层结构的BP神经网络(Back propagation neural network, BPNN),并结合遗传算法(Genetic algorithm,GA)对工艺条件进行全局寻优,获得最佳提取工艺。结果表明:纤维素酶会对铁皮石斛多糖造成破坏,不利于铁皮石斛多糖提取,而木瓜蛋白酶可显著增加对铁皮石斛多糖的提取得率;铁皮石斛多糖的最佳提取工艺为液料比95∶1,超声功率400 W,木瓜蛋白酶浓度1400 U/g,提取温度48 ℃,在此工艺条件下铁皮石斛多糖得率达33-4%,优于普通热水提取236%的得率,得率提升显著,也同时表明BP神经网络模型结合遗传算法能够较好地解决此类非线性求优问题。

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2021-04-01
网络出版日期:2021-05-28
基金项目:浙江省重点研发项目(2016BSA780588)
作者简介:李伯齐(1995-),男,江西上饶人,硕士研究生,主要从事中药现代化方面的研究
通信作者:侯卓妮, E-mail: houzhuoni@zstu.edu.cn
更新日期/Last Update: 2021-09-16