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Potential CO2 biofixation by microalgae strains for industrial application
International Journal of Environmental Science and Technology ( IF 3.1 ) Pub Date : 2024-04-02 , DOI: 10.1007/s13762-024-05562-3
M. A. Gharanjik , G. Najafpour-Darzi , M. Jahanshahi , M. Mohammadi

CO2 biofixation via microalgae is sustainable option for CO2 capturing. In this work, CO2 was directly supplied by the flue gas from Neka thermal power plant. The propagation of microalgal species including Spirulina Sp., Chlorella vulgaris and Scenedesmus obliquus were compared for their ability in CO2 biofixation and accumulation of lipids in algal biomass at CO2 concentrations of 0.03, 2 and 5%. The growth kinetic model for the projection of algal growth by two mathematical models, including logistic and Gompertz were employed to fit and validate obtained experimental data. For the three strains of microalgae, Gompertz model fits the growth curves of microalgae much better than logistic model. Based on obtained results, the growth rate of three strains of microalgae at the same conditions were compared. The maximum growth rate, biomass productivity (PB), CO2 consumption rate (PCO2) and lipid content with 5% CO2 for C. vulgaris were 0.44 d−1, 169.75 mg L−1 d−1, 319 mg L−1 d−1 and 32.8%, respectively. Subsequently, response surface methodology (RSM) was employed for optimization of light intensity and pH to achieve the maximum biomass concentration of C. vulgaris through central composite design (CCD). At optimum cultivation conditions for C. vulgaris microalgae, the maximum biomass concentration was 1908 mg L−1 at light intensity of 3200 lx and pH 8 with 5% CO2. Bench-scale data were obtained for optimization conditions and cultivation of C. vulgaris microalgae by RSM. Based on optimum conditions, the obtained biomass concentration in the bench-scale photobioreactor was 4.71% higher than laboratory scale.



中文翻译:

微藻菌株生物固定二氧化碳的潜在工业应用

通过微藻进行CO 2生物固定是CO 2捕获的可持续选择。本研究中CO 2由内卡热电厂烟气直接供给。比较了包括螺旋藻小球藻斜生栅藻在内的微藻物种在CO 2浓度为0.03、2和5%时的CO 2生物固定能力和藻类生物量中脂质积累的能力。采用 Logistic 和 Gompertz 两种数学模型预测藻类生长的生长动力学模型来拟合和验证获得的实验数据。对于三种微藻菌株,Gompertz模型比Logistic模型更能拟合微藻的生长曲线。根据所得结果,比较了相同条件下三种微藻菌株的生长速率。5% CO 2条件下,普通小蠹的最大生长速率、生物量生产率(P B)、CO 2消耗速率(P CO2 )和脂质含量分别为 0.44 d −1、 169.75 mg L −1  d −1、 319 mg L分别为-1  d -1和32.8%。随后,采用响应面法(RSM)优化光强度和pH值,通过中心组合设计(CCD)实现普通念珠菌的最大生物量浓度。在C. vulgaris微藻的最佳培养条件下,在光强度3200 lx、pH 8、5% CO 2 的条件下,最大生物量浓度为1908 mg L -1。通过 RSM获得了用于优化C. vulgaris微藻条件和培养的实验室规模数据。基于最佳条件,实验室规模光生物反应器中获得的生物量浓度比实验室规模高4.71%。

更新日期:2024-04-02
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