Department of Engineering, University of Cambridge, Trumpington Street, Cambridge CB2 1PZ, United Kingdom.
Department of Plant Sciences, University of Cambridge, Downing Site, Cambridge CB2 3EA, United Kingdom.
Bioresour Technol. 2014 Apr;157:293-304. doi: 10.1016/j.biortech.2014.01.032. Epub 2014 Jan 22.
In order to improve algal biofuel production on a commercial-scale, an understanding of algal growth and fuel molecule accumulation is essential. A mathematical model is presented that describes biomass growth and storage molecule (TAG lipid and starch) accumulation in the freshwater microalga Chlorella vulgaris, under mixotrophic and autotrophic conditions. Biomass growth was formulated based on the Droop model, while the storage molecule production was calculated based on the carbon balance within the algal cells incorporating carbon fixation via photosynthesis, organic carbon uptake and functional biomass growth. The model was validated with experimental growth data of C. vulgaris and was found to fit the data well. Sensitivity analysis showed that the model performance was highly sensitive to variations in parameters associated with nutrient factors, photosynthesis and light intensity. The maximum productivity and biomass concentration were achieved under mixotrophic nitrogen sufficient conditions, while the maximum storage content was obtained under mixotrophic nitrogen deficient conditions.
为了提高商业规模的藻类生物燃料生产,了解藻类生长和燃料分子积累是至关重要的。本文提出了一个数学模型,描述了在混养和自养条件下淡水微藻普通小球藻中生物质生长和储存分子(TAG 脂质和淀粉)的积累。生物质生长根据 Droop 模型进行公式化,而储存分子的产生则根据光合作用、有机碳吸收和功能生物质生长中细胞内的碳平衡来计算。该模型通过普通小球藻的实验生长数据进行了验证,发现模型拟合数据的效果良好。敏感性分析表明,模型性能对与营养因素、光合作用和光照强度相关的参数变化非常敏感。在混养氮充足条件下,达到了最高的生产力和生物质浓度,而在混养氮缺乏条件下,获得了最大的储存含量。