响应面法优化蛋白核小球藻的生长条件
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摘要
采用响应面法优化小球藻的最适生长条件。实验选取温度、pH、磷酸盐浓度3个因素,利用响应面法优化小球藻生长的最佳条件。通过对响应面因素进行优化,得到小球藻最佳生长条件为:温度26.43℃,pH 7.25,磷酸盐浓度5.51 mg/L。考虑到仪器的控制因素与实际操作条件,将优化后生长条件修正为温度26.4℃,pH 7.25,磷酸盐浓度5.50 mg/L。最佳优化条件验证试验表明,培养48 h后,藻类生物量平均达到了0.116,比优化前的生物量0.114略有提高,与预测值0.115无显著差别。因此响应面法优化得到的优化条件准确可靠,并具有一定的实用意义。
The optimum growth conditions of Chlorella were optimized by response surface method.Three factors, temperature, pH and phosphate concentration, were selected in the experiment.By optimizing the response surface factors, the optimum growth conditions of Chlorella vulgaris were obtained as follows: temperature 26.43 ℃,pH 7.25, phosphate concentration 5.51 mg/L.Considering the control factors of the instrument and the convenience of practical operation, the optimized growth conditions were corrected to a temperature of 26.4 ℃, pH 7.25 and a phosphate concentration of 5.51 mg/L.The results showed that the average biomass of algae reached 0.116 after 48 h culture, which increased the biomass of algae a little compared with the biomass of 0.114 before the optimization, and shows no significant difference with the predicted value 0.115. Therefore, the optimization conditions obtained by response surface method are accurate and reliable, and have certain practical significance.
The optimum growth conditions of Chlorella were optimized by response surface method.Three factors, temperature, pH and phosphate concentration, were selected in the experiment.By optimizing the response surface factors, the optimum growth conditions of Chlorella vulgaris were obtained as follows: temperature 26.43 ℃,pH 7.25, phosphate concentration 5.51 mg/L.Considering the control factors of the instrument and the convenience of practical operation, the optimized growth conditions were corrected to a temperature of 26.4 ℃, pH 7.25 and a phosphate concentration of 5.51 mg/L.The results showed that the average biomass of algae reached 0.116 after 48 h culture, which increased the biomass of algae a little compared with the biomass of 0.114 before the optimization, and shows no significant difference with the predicted value 0.115. Therefore, the optimization conditions obtained by response surface method are accurate and reliable, and have certain practical significance.
引文
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[2] 苟婷,马千里,许振成,等.贝江浮游藻类群落特征及富营养化风险分析[J].环境科学,2015,36(03):946-954.
[3] 张旭,钟鸿干,孙杨,等.小球藻快速增殖技术研究[J].河北渔业,2014(08):49-50.
[4] 沈南南,李纯厚,贾晓平,等.小球藻与芽孢杆菌对对虾养殖水质调控作用的研究[J].海洋水产研究,2008(02):48-52.
[5] 何春丽.小球藻在养殖调水方面的几种应用方法[J].渔业致富指南,2016(16):64.
[6] 张杏艳,陈中华,邓海明,等.沼液微生物与小球藻净化及鱼养殖效果研究[J].天津农业科学,2018,2(05):21-25.
[7] 陈家长,王菁,裘丽萍,等.pH对鱼腥藻和普通小球藻生长竞争的影响[J].生态环境学报,2014,23(02):289-294.
[8] 徐慧,纪道斌,崔玉洁,等.不同光照强度对小球藻生长的影响[J].微生物学通报,2016,43(05):1027-1034.
[9] 黄亮,邬长福,董余,等.光照强度对颤藻、小球藻、铜绿微囊藻的生长影响[J].净水技术,2016,35(04):69-72+103.
[10] 王菁,陈家长,孟顺龙.环境因素对藻类生长竞争的影响[J].中国农学通报,2013,29(17):52-56.
[11] 胡小贞,马祖友,易文利,等.4种不同培养基下铜绿微囊藻和四尾栅藻生长比较[J].环境科学研究,2004(S1):55-57.
[12] 郭艳琴.环境因素对黄河藻类生长影响的研究[D].内蒙古科技大学,2010.
[13] 王倩,吴啟南,许一鸣,等.响应面法优化芡茎多糖脱蛋白工艺[J].食品工业科技,2018(18):149-155.
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