利用植物废弃物生产中链羧酸盐:动力学研究和富集微生物群的影响

IF 6.1 1区 工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Biotechnology for Biofuels Pub Date : 2024-06-12 DOI:10.1186/s13068-024-02528-y
Jerome Undiandeye, Daniela Gallegos, Maria L. Bonatelli, Sabine Kleinsteuber, Mohammad Sufian Bin-Hudari, Nafi’u Abdulkadir, Walter Stinner, Heike Sträuber
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引用次数: 0

摘要

背景由于需要添加乙醇或乳酸盐等外部电子供体,因此影响了用于生产中链羧酸盐(MCC)的链延长(CE)工艺的经济可行性。然而,使用具有固有电子供体的原料(如废弃生物质的青贮饲料)可以提高经济效益。此外,使用适当的接种物对于中链羧酸盐生产工艺的整体效率也至关重要,因为特定微生物的存在与否以及它们之间的代谢作用会对所需中链羧酸盐的生产产生重大影响。此外,有必要生成可用于特定 CE 工艺的反应器设计、模拟和优化的数据。结果在以甜菜叶、木薯叶和艾洛藻/小麦秸秆青贮饲料为底物的分批实验中,己酸是唯一生产出的 MCC,最大产量分别为 1.97、3.48 和 0.88 g/kgVS。改良的 Gompertz 模型可以准确预测 MCC 的浓度。在以腌制甜菜叶为基质、以沼气反应器的沼渣为唯一接种物的半连续发酵中,观察到 MCC(C6-C8)的生产有一个长达 7 天的滞后期。在该系统中添加富集接种物后,滞后期明显缩短了至少 4 天。使用富集接种物时,MCC 产量为 93.67 g/kgVS,生产率为 2.05 gMCC/L/d。在不添加富集接种物的情况下,MCC 产量和生产率分别为 43.30 g/kgVS 和 0.95 gMCC/L/d。结论腐熟废物生物质是使用 CE 生产 MCC 的合适基质。为了提高腐熟甜菜叶的 MCC 产量,建议使用富集接种物,以实现快速工艺启动和高效生产。
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Medium-chain carboxylates production from plant waste: kinetic study and effect of an enriched microbiome

Background

The need for addition of external electron donors such as ethanol or lactate impairs the economic viability of chain elongation (CE) processes for the production of medium-chain carboxylates (MCC). However, using feedstocks with inherent electron donors such as silages of waste biomass can improve the economics. Moreover, the use of an appropriate inoculum is critical to the overall efficiency of the CE process, as the production of a desired MCC can significantly be influenced by the presence or absence of specific microorganisms and their metabolic interactions. Beyond, it is necessary to generate data that can be used for reactor design, simulation and optimization of a given CE process. Such data can be obtained using appropriate mathematical models to predict the dynamics of the CE process.

Results

In batch experiments using silages of sugar beet leaves, cassava leaves, and Elodea/wheat straw as substrates, caproate was the only MCC produced with maximum yields of 1.97, 3.48, and 0.88 g/kgVS, respectively. The MCC concentrations were accurately predicted with the modified Gompertz model. In a semi-continuous fermentation with ensiled sugar beet leaves as substrate and digestate from a biogas reactor as the sole inoculum, a prolonged lag phase of 7 days was observed for the production of MCC (C6–C8). The lag phase was significantly shortened by at least 4 days when an enriched inoculum was added to the system. With the enriched inoculum, an MCC yield of 93.67 g/kgVS and a productivity of 2.05 gMCC/L/d were achieved. Without the enriched inoculum, MCC yield and productivity were 43.30 g/kgVS and 0.95 gMCC/L/d, respectively. The higher MCC production was accompanied by higher relative abundances of Lachnospiraceae and Eubacteriaceae.

Conclusions

Ensiled waste biomass is a suitable substrate for MCC production using CE. For an enhanced production of MCC from ensiled sugar beet leaves, the use of an enriched inoculum is recommended for a fast process start and high production performance.

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来源期刊
Biotechnology for Biofuels
Biotechnology for Biofuels 工程技术-生物工程与应用微生物
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审稿时长
2.7 months
期刊介绍: Biotechnology for Biofuels is an open access peer-reviewed journal featuring high-quality studies describing technological and operational advances in the production of biofuels, chemicals and other bioproducts. The journal emphasizes understanding and advancing the application of biotechnology and synergistic operations to improve plants and biological conversion systems for the biological production of these products from biomass, intermediates derived from biomass, or CO2, as well as upstream or downstream operations that are integral to biological conversion of biomass. Biotechnology for Biofuels focuses on the following areas: • Development of terrestrial plant feedstocks • Development of algal feedstocks • Biomass pretreatment, fractionation and extraction for biological conversion • Enzyme engineering, production and analysis • Bacterial genetics, physiology and metabolic engineering • Fungal/yeast genetics, physiology and metabolic engineering • Fermentation, biocatalytic conversion and reaction dynamics • Biological production of chemicals and bioproducts from biomass • Anaerobic digestion, biohydrogen and bioelectricity • Bioprocess integration, techno-economic analysis, modelling and policy • Life cycle assessment and environmental impact analysis
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