| 小球藻生长与温度、盐度关系模型的建立与优化 |
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| 引用本文： | 刘加慧,王辉,杨洪帅.小球藻生长与温度、盐度关系模型的建立与优化[J].湛江海洋大学学报,2014(6):38-44. |
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| 作者姓名： | 刘加慧 王辉 杨洪帅 |
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| 作者单位： | 广东海洋大学水产学院,广东湛江524088 |
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| 基金项目： | 广东省教育厅工程中心建设项目（GCZX-A0909）;国家星火计划（2011GA780001） |
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| 摘 要： | 以小球藻（Chlorella sp. CHX-1）为实验材料,采用外切中心复合设计试验法（CCC）研究了温度（16～34 ℃）和盐度（15～45）对小球藻生长的联合效应.结果表明：温度与盐度的-次、二次效应对小球藻比生长速率都有极显著影响（P 〈 0.01）,温度、盐度之间的互作效应对小球藻比生长速率影响显著（P 〈 0.05）,温度的效应大于盐度的效应.响应曲面法分析发现,随着温度和盐度的升高,小球藻的比生长速率呈先上升后下降的趋势.建立小球藻生长与温度、盐度的回归模型方程,该模型的决定系数0.991 7,矫正决定系数0.985 8,表明模型的拟合度极高;模型的预测决定系数0.949 8,可用于预测小球藻比生长速率的变化.通过模型优化和验证实验,得到在温度、盐度组合为25.9 ℃/28.4 时,小球藻比生长速率达到最大值0.652,满意度为0.981.
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| 关 键 词： | 小球藻 温度 盐度 比生长速率 模型 优化 |
Constructing and Optimizing the Model of Relationship betweenChlorella sp. CHX-1 Growth and Temperature and Salinity |
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| LIU Jia-hui,WANG Hui,YANG Hong-shuai.Constructing and Optimizing the Model of Relationship betweenChlorella sp. CHX-1 Growth and Temperature and Salinity[J].Journal of Zhanjiang Ocean University,2014(6):38-44. |
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| Authors: | LIU Jia-hui WANG Hui YANG Hong-shuai |
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| Institution: | (Fisheries college, Guangdong Ocean University, Zhanjiang 524088, China) |
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| Abstract: | By using Central Composite Circumscribed design, the combined effects of watertemperature （16-34 ） and ℃ salinity （15-45） on the growth of Chlorella sp. CHX-1 were examined. Theresults showed that the linear and quadratic effects of temperature and salinity on the specific growthrate （SGR） of Chlorella were highly significant （P 〈 0.01）, and the interactive effects of temperature andsalinity was significant （P 〈 0.05）. Through response surface methodology it was shown that the SGRvaried with increasing water temperature and salinity in a curvilinear fashion and the effect oftemperature was greater than that of salinity. A model equation about the relationships between thegrowth rate and the two factors was established, with the R^2, Adj.R^2 as highly as 0.9917, 0.9858,respectively, suggesting that the overarching predictive capability of the model was satisfactory, and thePred.R^2 reached 0.9498, demonstrating that the model could be practicably applied for prediction.Through the optimization of the reliable model, the SGR reached its maximum （0.652） when thethermohaline combination was 25.9 ℃/28.4, with the desirability value being 0.981. These experimentalresults could offer theoretical reference for the production of the Chlorella. |
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| Keywords: | Chlorella temperature salinity specific growth rate model optimization |
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