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基于BP人工神经网络的酿酒酵母发酵培养基优化及其水解物对真菌毒素吸附研究

Optimization of Saccharomyces cerevisiae Culture Medium Based on BP Artificial Neural Network and Mycotoxin Adsorption Studies by Its Hydrolysate
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摘要 真菌毒素是霉菌产生的一类剧毒次级代谢产物,严重威胁着粮油食品和饲料的质量安全。如何阻控真菌毒素污染和危害,保障人民消费健康是当前急需。酿酒酵母的水解物甘露聚糖、葡聚糖等在动物肠道内可吸附真菌毒素从而减少危害。系统研究一株酿酒酵母生物量的优化及其水解物对不同真菌毒素的吸附效果。在摇瓶水平上,通过单因素实验初步确定了培养基配方,并通过多因素实验设计和BP人工神经网络建模、遗传算法寻优对培养基进行了优化。单因素实验得到最佳培养基组成为:蔗糖、酵母粉、KH_(2)PO_(4)、MgSO_(4)质量浓度分别为17.5、10.0、0.1、0.6 g/100 mL,在此条件下,OD_(600)达到32.78。通过BP人工神经网络建模,结合遗传算法寻优得到最佳培养基为:蔗糖、酵母粉、KH_(2) PO_(4)、MgSO_(4)质量浓度分别为18.9、8.9、0.05、0.8 g/100 mL,预测的OD_(600)为38.9,经验证与该配方下实验所得发酵液OD_(600)为37.1的偏差是4.6%,相对于单因素培养提高了13.2%。进一步研究了该酵母的水解物对ZEN(Zearalenone,玉米赤霉烯酮)、DON(Deoxynivalenol,脱氧雪腐镰刀菌烯醇)和AFB_(1)(Aflatoxin B_(1),黄曲霉毒素B_(1))的体外吸附效果,结果表明对ZEN、DON和AFB_(1)最大吸附量分别为615.4、46.0、434.6μg/g,对ZEN和AFB_(1)吸附效果显著。 Mycotoxins are highly toxic metabolites produced by a class of moulds,seriously threating the quality and safety of grain,oil,food and feed.How to prevent and control mycotoxins pollution to protect animal breeding and human consumption health is an urgent need.The active ingredients in Saccharomyces cerevisiae hydrolysate,such as mannan and glucan etc.,can adsorb and excrete mycotoxins in the animal intestine,thereby reducing the harm.In this paper,the biomass optimization of a strain of Saccharomyces cerevisiae and the adsorption effect of its hydrolysate on different mycotoxins were systematically studied.At the shake-flask level,the preliminary medium formula was determined by single factor experiment,and the medium was optimized for a strain of Saccharomyces cerevisiae through multi-factor experimental design,BP artificial neural network,and genetic algorithm optimization.The optimal medium composition and addition amount were screened by single factors of sucrose,yeast powder,KH_(2) PO_(4),MgSO_(4) in 17.5,10.0,0.1,0.6 g/100 mL,respectively,and the biomass OD_(600) was 32.78.Based on BP artificial neural network modeling and genetic algorithm optimization,the optimal amount of medium was:sucrose,yeast powder,KH_(2) PO_(4),MgSO_(4) in 18.9,8.9,0.05,0.8 g/100 mL,respectively,and the predicted biomass OD_(600) was 38.9,at which the deviation from 37.1 of the actual biomass OD_(600) was within 4.6%,biomass increasing by 13.2%based on the BP Neural Networks.The hydrolysate of the yeast was studied to ZEN(Zearalenone),DON(Deoxynivalenol)and AFB_(1)(Aflatoxin B_(1))in vitro adsorption effect.The results indicated that the maximum adsorption capacity of the yeast hydrolysate for ZEN,DON and AFB1 was 615.4,46.0,434.6μg/g,respectively.The yeast hydrolysate indicated a good adsorption effect for ZEN and AFB_(1).
作者 尹鹏 杨芸芸 赵一凡 杜稳 李秋 彭君建 刘虎军 Yin Peng;Yang Yunyun;Zhao Yifan;Du Wen;Li Qiu;Peng Junjian;Liu Hujun(Academy of Food and Strategic Reserves Administration,Beijing 100037;China Jiliang University,Hangzhou 310018;Shandong Luhua Group Limited Company,Laiyang 265200;Jiangsu Fengshang Oil Engineering Technology Limited Company,Yangzhou 225000)
出处 《中国粮油学报》 CSCD 北大核心 2023年第8期206-212,共7页 Journal of the Chinese Cereals and Oils Association
基金 中央级公益性科研院所基本科研业务费专项(ZX2015) 国家重点研发计划项目(2021YFD2100305)。
关键词 酿酒酵母 BP神经网络 遗传算法 真菌毒素 吸附 Saccharomyces cerevisiae BP neural network genetic algorithm mycotoxin,adsorbent
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