Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India.
Bioresour Technol. 2013 Aug;142:82-7. doi: 10.1016/j.biortech.2013.05.040. Epub 2013 May 20.
1,3-Propanediol (1,3-PD) is a bifunctional organic compound of particular importance in the polymer industry for the synthesis of polyesters, polyethers and polyurethanes. Its biotechnological production from glycerol features inherent problems of nutrient limitation and inhibition(s) by substrate and product. In the present study 1,3-PD batch mathematical model developed using average batch kinetics data and independently obtained inhibition data was used to identify fresh nutrient feeding strategies (off-line on the computer) for enhanced production of 1,3-PD. Experimental implementation of one such model-based fed-batch cultivation strategy involving pseudo-steady state of substrate featured a 1,3-PD concentration of 63.5 g/L with a 1,3-PD productivity of 1.35 g/L/h which were significantly higher than batch fermentation results. This demonstrated the potential application of developed model for the design of suitable nutrient feeding strategies for high production of 1,3-PD. The methodology can also be easily adopted for other cultivations.
1,3-丙二醇（1,3-PD）是一种多功能有机化合物，在聚合物工业中对于合成聚酯、聚醚和聚氨酯具有特别重要的意义。其从甘油生物合成的方法存在营养物限制和基质及产物抑制等固有问题。在本研究中，使用基于平均批处理动力学数据和独立获得的抑制数据开发的 1,3-PD 分批数学模型，用于确定增强 1,3-PD 生产的新的营养物补料策略（在计算机上离线）。涉及基质准稳态的一种基于模型的补料分批培养策略的实验实施，具有 63.5 g/L 的 1,3-PD 浓度和 1.35 g/L/h 的 1,3-PD 生产率，明显高于分批发酵的结果。这证明了所开发模型在设计用于 1,3-PD 高产的合适营养物补料策略方面的潜在应用。该方法也可以很容易地应用于其他培养。
