Propionic Acid Enhances H2 Production in Purple Phototrophic Bacteria: Insights into Carbon and Reducing Equivalent Allocation

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2024-11-16 DOI:10.1016/j.watres.2024.122799
Peitian Huang, Yun Chen, Siwei Yu, Yan Zhou
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Abstract

Biohydrogen is gaining popularity as a clean and cost-effective energy source. Among the various production methods, photo fermentation (PF) with purple phototrophic bacteria (PPB) has shown great opportunity due to its high hydrogen yield. In practice, this yield is influenced by several factors, with the carbon source, particularly simple organic acid, being a key element that has attracted considerable research interest. Short-chain volatile fatty acids (VFAs), such as acetate, propionate, and butyrate, are widely found in waste streams and dark fermentation (DF) effluent. However, most studies on these VFAs focus mainly on performance evaluation, with few exploring the underlying mechanisms, which limits their applicability in real-world scenarios. To uncover the metabolic mechanisms, this study uses metagenomics to clarify the processes of reducing power production and distribution during substrate assimilation. Meanwhile, this study presents the impact of short-chain VFAs on biohydrogen, polyhydroxyalkanoates (PHA) and glycogen production by PPB. The results show that: (1) over long-term cultivation at similar COD consumption rates of 0.06 g COD/d, PPB possessed the highest hydrogen yield when fed with propionate (0.620 L H2·g COD-1) compared with butyrate (0.434) and acetate (0.361); (2) with propionate as the substrate, PPB accumulated less PHA (7% of dry biomass) but more glycogen content (11%), compared to butyrate (15% PHA and 8% glycogen) and acetate (21% PHA and 5% glycogen); (3) metagenomic analysis revealed that propionate resulted in the highest amounts of reducing equivalents, followed by butyrate and acetate; hydrogen production was the most efficient pathway for utilizing the reducing power with propionate, as the CO2 fixation and PHA or glycogen synthesis were ineffective for electron dissipation. This study offers insights into metabolic mechanism that could guide waste stream selection and pretreatment processes to provide favorable VFAs for the PF process, thereby enhancing PPB biohydrogen production performance in practical applications.

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丙酸能提高紫色光养细菌的 H2 产量:碳和还原当量分配的启示
生物氢作为一种清洁且具有成本效益的能源,越来越受到人们的青睐。在各种生产方法中,利用紫色光养菌(PPB)进行光发酵(PF)因其氢气产量高而显示出巨大的商机。在实践中,这一产量受多种因素的影响,其中碳源,特别是简单有机酸,是一个关键因素,引起了相当大的研究兴趣。短链挥发性脂肪酸(VFA),如乙酸盐、丙酸盐和丁酸盐,广泛存在于废液和暗发酵(DF)废水中。然而,大多数关于这些挥发性脂肪酸的研究主要集中在性能评估方面,很少有研究探讨其潜在机制,这限制了它们在实际应用中的适用性。为了揭示其代谢机制,本研究利用元基因组学阐明了底物同化过程中还原力的产生和分配过程。同时,本研究介绍了短链 VFAs 对 PPB 产生生物氢、聚羟基烷酸(PHA)和糖原的影响。结果表明(1) 在类似 COD 消耗率(0.06 g COD/d)的长期培养条件下,喂食丙酸盐(0.620 L H2-g COD-1)时,PPB 的产氢量最高,而喂食丁酸盐(0.434)和醋酸盐(0.361);(2)以丙酸盐为底物时,与丁酸盐(15% PHA 和 8%糖原)和醋酸盐(21% PHA 和 5%糖原)相比,PPB 积累的 PHA 较少(占干生物量的 7%),但糖原含量较高(11%);(3) 元基因组分析表明,丙酸盐产生的还原当量最高,其次是丁酸盐和乙酸盐;制氢是利用丙酸盐还原能力的最有效途径,因为二氧化碳固定和 PHA 或糖原合成对电子耗散无效。这项研究提供了代谢机制方面的见解,可指导废物流的选择和预处理过程,为 PF 过程提供有利的 VFA,从而提高 PPB 生物制氢在实际应用中的性能。
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
期刊最新文献
Selective oxidation of nitrogenous heterocyclic compounds by heat/peroxymonosulfate in phenol-rich wastewater Propionic Acid Enhances H2 Production in Purple Phototrophic Bacteria: Insights into Carbon and Reducing Equivalent Allocation Small-data-trained model for predicting nitrate accumulation in one-stage partial nitritation-anammox processes controlled by oxygen supply rate Combining stable isotopes and spatial stream network modelling to disentangle the roles of hydrological and biogeochemical processes on riverine nitrogen dynamics Changes in microbial communities across the whole A2/O wastewater treatment process and their drivers - Reduced community diversity but increased proportion of certain pathogens
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