Optimization of biomass productivity and carbon dioxide fixation ability by freshwater microalgae scenedesmus bajacalifornicus bbklp-07, a step towards sustainable development

Lakkanagouda Patil, B. Kaliwal
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Abstract

Microalgae carbon dioxide (CO2) sequestration has been recognized as a promising technology in the arena of sustainable development to mitigate CO2. The objective of the present study was to optimize the culture conditions for freshwater microalgae Scenedesmus bajacalifornicus BBKLP07. Response surface methodology (RSM) was used to analyze biomass productivity (R1) and CO2 fixation (R2) of microalgae Scenedesmus bajacalifornicus BBKLP-07 cultivated on media containing varying concentrations of CO2, nitrate and phosphate at different pH conditions. The predicted second-order quadratic model for response variables was significant (p < 0.01). Additionally, predicted R-squared values 0.7111 (R1), 0.8616 (R2) of quadratic model indicated the satisfactory fit of the model. On the basis of statistical analysis of results, CO2 concentration (15%), sodium nitrate (1.75 g/l/day), Di potassium hydrogen phosphate (0.06 g/l/day) and pH 7 i.e. C15N1.75P0.06H7, was found to be the best combination for maximum biomass productivity (0.93 g/l/day) and highest carbon dioxide fixation rate (0.13 g/l/day).
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淡水微藻scenedesmus bajacalifornicus bbklp-07生物量生产力和二氧化碳固定能力优化,迈向可持续发展的一步
微藻二氧化碳封存技术已被公认为是可持续发展领域中一项有前景的二氧化碳减排技术。本研究旨在优化淡水微藻Scenedesmus bajacalifornicus BBKLP07的培养条件。采用响应面法(RSM)分析了微藻Scenedesmus bajacalifornicus BBKLP-07在不同pH条件下不同浓度CO2、硝酸盐和磷酸盐培养基上的生物量生产力(R1)和二氧化碳固定(R2)。预测二阶二次模型的响应变量显著(p < 0.01)。二次模型的预测r平方值0.7111 (R1)、0.8616 (R2)表明模型拟合满意。结果表明,CO2浓度(15%)、硝酸钠浓度(1.75 g/l/d)、磷酸氢二钾浓度(0.06 g/l/d)和pH值(C15N1.75P0.06H7)为最佳组合,可获得最大生物量生产力(0.93 g/l/d)和最高二氧化碳固定率(0.13 g/l/d)。
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