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通过补料分批培养从废弃动物脂肪生产聚(3-羟基丁酸酯-co-3-羟基己酸酯)的低结构动力学模型。

Low-structured kinetic model of poly(3-hydroxybutyrate-co-3-hydroxyhexanoate) production from waste animal fats via fed-batch cultivations.

作者信息

Ochoa Silvia, Weiske Björn, Simões Matilde Maldonado, Neubauer Peter, Riedel Sebastian L

机构信息

SIDCOP Research Group, Engineering Faculty, Universidad de Antioquia, Medellín, Colombia.

Technische Universität Berlin, Institute of Biotechnology, Chair of Bioprocess Engineering, Berlin, Germany.

出版信息

Bioresour Technol. 2025 Sep;432:132664. doi: 10.1016/j.biortech.2025.132664. Epub 2025 May 11.

Abstract

Polyhydroxyalkanoates are fully biodegradable biopolymers and represent a sustainable alternative to conventional, fossil-derived plastics. To improve their economic feasibility, this study investigates the microbial production of poly(3-hydroxybutyrate-co-3-hydroxyhexanoate) from low-quality waste animal fats using the recombinant strain Cupriavidus necator Re2058/pCB113. A series of high-cell-density fed-batch fermentations were conducted under varying feeding strategies for carbon (waste animal fat) and nitrogen (urea). Based on the experimental data, a low-structured dynamic kinetic model was developed incorporating both extracellular and selected intracellular processes relevant to polyhydroxyalkanoate synthesis via ß-oxidation. Sensitivity analysis of the 31 model parameters revealed 13 as sensitive to process variations, which were re-identified for improved adaptability. The model was validated against independent cultivation data, demonstrating accurate predictions of biomass, polymer concentration, and 3-hydroxyhexanoate content. This model supports process optimization and the design of feeding strategies, contributing to reduced experimental effort and enhanced scalability the of polyhydroxyalkanoates production from waste-derived substrates.

摘要

聚羟基脂肪酸酯是完全可生物降解的生物聚合物,是传统化石衍生塑料的可持续替代品。为了提高其经济可行性,本研究使用重组菌株贪铜菌Re2058/pCB113研究了从低质量废弃动物脂肪中微生物生产聚(3-羟基丁酸酯-co-3-羟基己酸酯)的过程。在不同的碳(废弃动物脂肪)和氮(尿素)补料策略下进行了一系列高细胞密度补料分批发酵。基于实验数据,建立了一个低结构动态动力学模型,该模型纳入了通过β-氧化与聚羟基脂肪酸酯合成相关的细胞外和选定的细胞内过程。对31个模型参数的敏感性分析表明,其中13个参数对过程变化敏感,对这些参数进行了重新识别以提高适应性。该模型根据独立培养数据进行了验证,证明了对生物量、聚合物浓度和3-羟基己酸酯含量的准确预测。该模型支持过程优化和补料策略设计,有助于减少实验工作量并提高从废弃底物生产聚羟基脂肪酸酯的可扩展性。

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