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首页> 外文期刊>Journal of the Korean Society for Applied Biological Chemistry >Optimization for the Enhanced Production of Avermectin B1b from Streptomyces avermitilis DSM 41445 Using Artificial Neural Network
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Optimization for the Enhanced Production of Avermectin B1b from Streptomyces avermitilis DSM 41445 Using Artificial Neural Network

机译：利用人工神经网络优化阿维链霉菌DSM 41445的阿维菌素B1b增产

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摘要

Avermectin is an environment friendly bio-insecticide. Optimization of the culture conditions for avermectin Bib production has not been carried out before using Artificial Neural Network (ANN) method. The present work is therefore conducted to optimize some important factors including yeast extract, MgSO4 center dot 7H(2)O, and temperature for the avermectin Bib production using ANN methodology from Streptomyces avermitilis DSM 41445. The optimum levels for the yeast extract, MgSO4 center dot 7H(2)O, and temperature were 16.0 (g/L), 5.0 (g/L) and 32 degrees C respectively. Maximum effect was observed by yeast extract. Avermectin Bib yield was increased up to 150% after optimization. ANN was found to be a powerful technique for the optimization and prediction of avermectin B1b production from Streptomyces avermitilis DSM 41445
机译：阿维菌素是一种环境友好的生物杀虫剂。在使用人工神经网络（ANN）方法之前，尚未进行阿维菌素Bib产生的培养条件的优化。因此，进行本工作以优化一些重要因素，包括酵母提取物，MgSO4中心点7H（2）O和使用阿维链霉菌DSM 41445的ANN方法生产阿维菌素Bib的温度。酵母提取物MgSO4中心的最佳水平点7H（2）O和温度分别为16.0（g / L），5.0（g / L）和32摄氏度。通过酵母提取物观察到最大的效果。优化后，阿维菌素围兜的产量提高到150％。发现ANN是优化和预测阿维链霉菌DSM 41445产生阿维菌素B1b的有力技术

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