Department of Chemical Engineering, Biochemical and Bioprocess Engineering Group, The University of Manchester, Manchester M13 9PL, UK.
Department of Chemical Engineering, Biochemical and Bioprocess Engineering Group, The University of Manchester, Manchester M13 9PL, UK.
Bioresour Technol. 2023 Oct;386:129518. doi: 10.1016/j.biortech.2023.129518. Epub 2023 Jul 20.
In this work, a bioprocess for the fermentation of A. succinogenes for the production of succinic acid from glycerol was developed, employing a continuous bioreactor with recycle. Moreover, a new bioprocess model was constructed, based on an existing double substrate limitation model, which was validated with experimental results for a range of operating parameters. The model was used to successfully predict the dynamics of the continuous fermentation process and was subsequently employed in optimisation studies to compute the optimal conditions, dilution rate, reflux rate and feed glycerol concentration, that maximise the productivity of bio-succinic acid. In addition, a Pareto front for optimal volumetric productivity and glycerol conversion combinations was computed. Maximum volumetric productivity of 0.518 g/L/h, was achieved at the optimal computed conditions, which were experimentally validated. This is the highest bio-succinic acid productivity reported so far, for such a continuous bioprocess.
在这项工作中，开发了一种从甘油发酵产琥珀酸的 A. succinogenes 发酵工艺，采用带循环的连续生物反应器。此外，根据现有的双底物限制模型构建了一个新的生物过程模型，并通过一系列操作参数的实验结果进行了验证。该模型成功地预测了连续发酵过程的动态，并随后用于优化研究，以计算最大程度提高生物琥珀酸生产力的最佳条件、稀释率、回流率和进料甘油浓度。此外，还计算了最优体积生产率和甘油转化率组合的 Pareto 前沿。在最优计算条件下，获得了 0.518 g/L/h 的最大体积生产率，实验验证了这一点。这是迄今为止报道的此类连续生物过程中最高的生物琥珀酸生产力。
