Estimation of PHA concentrations from cell density data in Cupriavidus necator

IF 3.9 3区生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Applied Microbiology and Biotechnology Pub Date : 2025-01-18 DOI:10.1007/s00253-024-13392-z

Lena Kranert, Rudolph Kok, Anna-Sophie Neumann, Achim Kienle, Stefanie Duvigneau

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Abstract

The production of biodegradable and biobased polymers is one way to overcome the present plastic pollution while using cheap and abundant feedstocks. Polyhydroxyalkanoates are a promising class of biopolymers that can be produced by various microorganisms. Within the production process, batch-to-batch variation occurs due to changing feedstock composition when using waste streams, slightly different starting conditions, or biological variance of the microorganisms. Therefore, reliable and online-capable measurement methods of the product concentration are required to monitor and eventually react to those fluctuations. In this work, we present a flexible approach to determine polyhydroxyalkanoate concentrations based on a simple mathematical model. The data-driven model correlates polyhydroxyalkanoate concentrations with optical densities measured at 600 nm, a widespread, fast, and cheap lab measurement. We found that with different cultivation conditions, the correlation needs to be updated for a reasonable PHA determination during the process. We test this approach for the production of poly(3-hydroxybutyrate) and poly(3-hydroxybutyrate-co-3-hydroxyvalerate) in Cupriavidus necator using fructose and propionic acid as carbon sources. This flexible approach allows a simple estimation of PHA concentrations and offers the possibility to further enhance biopolymer production when combined with advanced control strategies.

\(\bullet \) Development of a simple mathematical model to estimate polyhydroxyalkanoate concentrations.

\(\bullet \) Optical density measurement is used to determine polyhydroxyalkanoate concentration.

\(\bullet \) The approach is tested for the production of PHB and PHBV with C. necator.

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从铜树细胞密度数据估计PHA浓度

生产生物可降解和生物基聚合物是克服目前塑料污染的一种方法，同时使用廉价和丰富的原料。聚羟基烷酸酯是一类很有前途的生物聚合物，可以由各种微生物生产。在生产过程中，由于使用废物流时原料成分的变化、启动条件的轻微不同或微生物的生物学差异，批次之间会发生变化。因此，需要可靠和在线的产品浓度测量方法来监测这些波动并最终对其作出反应。在这项工作中，我们提出了一种灵活的方法来确定聚羟基烷酸盐浓度基于一个简单的数学模型。数据驱动的模型将聚羟基烷酸盐浓度与600纳米光密度相关联，这是一种广泛、快速、廉价的实验室测量方法。我们发现，在不同的培养条件下，需要更新相关关系，以便在过程中合理地确定PHA。我们用果糖和丙酸作为碳源，在铜树中测试了这种方法生产聚（3-羟基丁酸酯）和聚（3-羟基丁酸酯-co-3-羟基戊酸酯）。这种灵活的方法可以简单地估计PHA浓度，并与先进的控制策略相结合，进一步提高生物聚合物的产量。\(\bullet \)建立一个简单的数学模型来估计聚羟基烷酸盐的浓度。\(\bullet \)光密度测量用于测定聚羟基烷酸盐浓度。\(\bullet \)对该方法进行了用C. necator生产PHB和PHBV的测试。

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来源期刊

Applied Microbiology and Biotechnology 工程技术-生物工程与应用微生物

CiteScore

10.00

自引率

4.00%

发文量

535

审稿时长

2 months

期刊介绍： Applied Microbiology and Biotechnology focusses on prokaryotic or eukaryotic cells, relevant enzymes and proteins; applied genetics and molecular biotechnology; genomics and proteomics; applied microbial and cell physiology; environmental biotechnology; process and products and more. The journal welcomes full-length papers and mini-reviews of new and emerging products, processes and technologies.