Optimization of pH and Nitrogen for Enhanced Hydrogen Production by Synechocystis sp PCC 6803 via Statistical and Machine Learning Methods
Optimization of pH and Nitrogen for Enhanced Hydrogen Production by Synechocystis sp PCC 6803 via Statistical and Machine Learning Methods
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DOI：
10.1002/btpr.213
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发表时间：
2009-07-01
影响因子：
2.9
通讯作者：
Ely, Roger L.
中科院分区：
文献类型：
--
作者：
Burrows, Elizabeth H.;Wong, Weng-Keen;Ely, Roger L.
优化培养基的氮（N）浓度和pH以增加来自蓝细菌集胞藻属PCC 6803的发酵氢（H-2）产量。使用两个程序进行优化，即常用的响应曲面法（RSM）和基于记忆的机器学习算法Q（2），该算法以前未在生物技术应用中使用。RSM和Q2都成功地预测了产生比Burrows等人报道的介质更高的H-2的最佳条件，国际氢能杂志。2008;33：6092-6099针对N、S和C（下文称为EHB-1培养基）进行优化，其本身产生的H-2几乎是？集胞藻属PCC 6803在无硫BG-11培养基上生长。响应面法预测的最佳N浓度为0.63 mM和pH值为7.77，这产生了1.70倍以上的H-2？EHB-1培养基中叶绿素浓度归一化时（0.68 +/- 0.43 μ mol H-2 mg Chl（-1）h（-1））和光密度归一化时（1.62 +/- 0.09 nmol H-2 OD 730 -1 h（-1））的1.35倍。Q2预测最佳N为0.36 mM，pH为7.88，当归一化为叶绿素浓度（0.77 +/- 0.44 μ mol H-2 mg Chl（-1）h（-1））和光密度（1.53 +/- 0.07 nmol H-2 OD 730 -1 h（-1））时，产生的H-2分别是EHB-1培养基的1.94倍和1.27倍。这两种优化方法都有独特的优点和缺点，在这项研究中确定和讨论。（D 2009美国化学工程师学会生物技术。程序，25：1009-1017，2009
The nitrogen (N) concentration and pH of culture media were optimized for increased fermentative hydrogen (H-2) production from the cyanobacterium, Synechocystis sp. PCC 6803. The optimization was conducted using two procedures, response surface methodology (RSM), which is commonly used, and a memory-based machine learning algorithm, Q(2), which has not been used previously in biotechnology applications. Both RSM and Q2 were successful in predicting optimum conditions that yielded higher H-2 than the media reported by Burrows et al., Int J Hydrogen Energy. 2008;33:6092-6099 optimized for N, S, and C (called EHB-1 media hereafter), which itself yielded almost 150 times more H-2 that? Synechocystis sp. PCC 6803 grown on sulfer-free BG-11 media. RSM predicted an optimum N concentration of 0.63 mM and pH of 7.77, which yielded 1.70 times more H-2 that? EHB-1 media when normalized to chlorophyll concentration (0.68 +/- 0.43 mu mol H-2 mg Chl(-1) h(-1)) and 1.35 times more when normalized to optical density (1.62 +/- 0.09 nmol H-2 OD730-1 h(-1)). Q2 predicted an optimum of 0.36 mM N and pH of 7.88, which yielded 1.94 and 1.27 times more H-2 than EHB-1 media when normalized to chlorophyll concentration (0.77 +/- 0.44 mu mol H-2 mg Chl(-1) h(-1)) and optical density (1.53 +/- 0.07 nmol H-2 OD730-1 h(-1)), respectively. Both optimization methods have unique benefits and drawbacks that are identified and discussed in this study. (D 2009 American Institute of Chemical Engineers Biotechnol. Prog., 25: 1009-1017, 2009