Suppr超能文献

应用过程系统工程工具从糖蜜-废糖蜜混合物中分批生产聚(3-羟基丁酸酯-共-3-羟基戊酸酯)。

Application of process system engineering tools to the fed-batch production of poly(3-hydroxybutyrate-co-3-hydroxyvalerate) from a vinasses-molasses Mixture.

机构信息

SIDCOP Research Group, University of Antioquia, Medellín, Colombia.

Biotransformación Research Group, University of Antioquia, Medellín, Colombia.

出版信息

Bioprocess Biosyst Eng. 2019 Jun;42(6):1023-1037. doi: 10.1007/s00449-019-02102-z. Epub 2019 Mar 14.

Abstract

Fed-batch production of poly(3-hydroxybutyrate-co-3-hydroxyvalerate) copolymer using vinasses-molasses mixture is carried out in this work by implementing different process systems engineering tools. Two fed-batch strategies are tested experimentally at 5 L scale, considering only offline information: (1) offline optimizing control and (2) exponential feeding. Application of these strategies showed that different feeding profiles result in different dynamic behaviour, influencing both, yield and biopolymer properties. As offline-based feeding strategies do not consider information of the culture status, they cannot deal with uncertainties. Therefore, a closed loop control strategy was implemented, which uses biomass and substrate information predicted online by soft-sensors. Results demonstrated the technical feasibility to produce biopolymer using a 75/25%vol. vinasses-molasses mixture. Successful implementation of the soft-sensor-based control strategy was evidenced at pilot plant scale, where sugar concentration was kept almost constant for 14 h, while obtaining the desired copolymer. Thus, proposed control strategy could be of interest at industrial-scale.

摘要

本文采用不同的过程系统工程工具,利用糖蜜-酒糟混合物进行分批补料生产聚(3-羟基丁酸酯-3-羟基戊酸酯)共聚物。在 5 L 规模上,通过实验测试了两种分批补料策略,仅考虑离线信息:(1)离线优化控制和(2)指数进料。应用这些策略表明,不同的进料曲线导致不同的动态行为,影响产率和生物聚合物的性能。由于基于离线的进料策略不考虑培养状态的信息,因此它们无法处理不确定性。因此,实施了闭环控制策略,该策略使用软传感器在线预测的生物量和基质信息。结果表明,使用 75/25%vol 的酒糟-糖蜜混合物生产生物聚合物具有技术可行性。在中试规模上成功实施了基于软传感器的控制策略,其中糖浓度在 14 小时内几乎保持恒定,同时获得了所需的共聚物。因此,所提出的控制策略在工业规模上可能具有吸引力。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验