Rossi S, Casagli F, Mantovani M, Mezzanotte V, Ficara E
Politecnico di Milano, Department of Civil and Environmental Engineering (DICA), P.zza L. da Vinci, 32, 20133 Milan, Italy.
Università Degli Studi di Milano-Bicocca, Department of Earth and Environmental Sciences (DISAT), P.zza della Scienza 1, 20126 Milan, Italy.
Bioresour Technol. 2020 Jun;305:122995. doi: 10.1016/j.biortech.2020.122995. Epub 2020 Feb 11.
This study aimed at evaluating the effects of different environmental conditions (irradiance, temperature, pH and dissolved oxygen) on a microalgae-bacteria consortium cultivated in a pilot-scale open pond and fed on the liquid fraction of anaerobic digestate. A standardized photo-respirometry protocol was followed to evaluate the activity of microalgae under different conditions. Two datasets (specific photosynthetic oxygen production rates and respiratory oxygen consumption rates) were obtained for each environmental parameter, throughout the entire range of conditions found in the outdoor cultivation system. Different kinetic models available in literature were fitted to experimental data and the resulting outputs were compared through model selection estimators, in order to select the most appropriate equations. The proposed set of equations constitute a modelling tool for the prediction of algal growth rates in algae-bacteria systems, as a function of environmental conditions.
本研究旨在评估不同环境条件（辐照度、温度、pH值和溶解氧）对在中试规模开放式池塘中培养并以厌氧消化液的液体部分为食的微藻-细菌联合体的影响。遵循标准化的光呼吸测量方案来评估不同条件下微藻的活性。针对室外培养系统中发现的整个条件范围，为每个环境参数获取了两个数据集（特定光合产氧率和呼吸耗氧率）。将文献中可用的不同动力学模型拟合到实验数据，并通过模型选择估计器比较所得输出，以选择最合适的方程。所提出的方程组构成了一个建模工具，用于预测藻菌系统中藻类生长速率与环境条件的函数关系。
