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Culture media optimization of Porphyridium purpureum: production potential of biomass total lipids arachidonic and eicosapentaenoic acid

机译:紫菜卟啉菌的培养基优化:生物质总脂质花生四烯酸和二十碳五烯酸的生产潜力

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摘要

Porphyridium purpureum a red marine microalga is known for phycobiliproteins (PB), polyunsaturated fatty acids and sulphated exopolysaccharides. In the present study, effects of media constituents for the production of different polyunsaturated fatty acids from P. purpureum were considered using a response surface methodology (RSM). A second order polynomial was used to predict the response functions in terms of the independent variables such as the concentrations of sodium chloride, magnesium sulphate, sodium nitrate and potassium dihydrogen phosphate. The response functions were production of biomass yield, total lipid and polyunsaturated fatty acids like arachidonic acid (AA 20:4) and eicosapentaenoic acid (EPA 20:5). Results corroborated that maximum Biomass (0.95 gL−1) yield was at the concentrations of sodium chloride (14.89 gL−1), magnesium sulfate (3.93 gL−1) and sodium nitrate (0.96 gL−1) and potassium dihydrogen phosphate (0.09 gL−1). Optimum total lipid (17.9 % w/w) and EPA (34.6 % w/w) content was at the concentrations of sodium chloride (29.98 gL−1), magnesium sulfate (9.34 gL−1) and sodium nitrate (1.86 gL−1). Variation in concentration of potassium dihydrogen phosphate for both lipid (0.01gL−1) and EPA content (0.20 gL−1) was observed. The optimum conditions for biomass, total lipid, AA and EPA varied indicating their batch mode of growth and interaction effect of the salt.
机译:紫红色紫菜(Porphyridium purpureum)是一种红色的海洋微藻,因藻胆蛋白(PB),多不饱和脂肪酸和硫酸化胞外多糖而闻名。在本研究中,考虑使用响应面方法(RSM)来考虑培养基成分对紫青霉产生不同多不饱和脂肪酸的影响。使用二阶多项式根据独立变量来预测响应函数,例如氯化钠,硫酸镁,硝酸钠和磷酸二氢钾的浓度。响应函数是生物量产量,总脂质和多不饱和脂肪酸(如花生四烯酸(AA 20:4)和二十碳五烯酸(EPA 20:5))的产生。结果证实了最大生物量(0.95 gL -1 )的浓度是在氯化钠(14.89 gL -1 ),硫酸镁(3.93 gL -1)的浓度下)和硝酸钠(0.96 gL -1 )和磷酸二氢钾(0.09 gL -1 )。最佳总脂质(17.9%w / w)和EPA(34.6%w / w)含量为氯化钠(29.98 gL -1 ),硫酸镁(9.34 gL - 1 )和硝酸钠(1.86 gL -1 )。观察到脂质(0.01gL -1 )和EPA含量(0.20 gL -1 )磷酸二氢钾的浓度变化。生物量,总脂质,AA和EPA的最佳条件各不相同,表明它们的分批生长方式和盐的相互作用。

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