Treatment of real aquaculture wastewater using marine Chlorella: Pollutant removal and microbial community dynamics

IF 3.7 3区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Biochemical Engineering Journal Pub Date : 2026-02-01 Epub Date: 2025-10-31 DOI:10.1016/j.bej.2025.109987
Shenwei Cheng , Yanqing Sheng
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引用次数: 0

Abstract

This study comprehensively investigated the nutrient removal mechanisms of Chlorella sp. in authentic aquaculture wastewater, while also examining the dynamic shifts within its symbiotic microbial community. The results showed that the microalgae exhibited robust growth in the wastewater, effectively reducing concentrations of ammonium nitrogen, nitrate nitrogen, and phosphate with removal efficiencies of 95.0 %, 93.2 %, and 91.7 %, respectively. Fluctuations in pH during the initial cultivation period indicated a cyclical interplay between heterotrophic microbial activity and microalgal photosynthesis. In the later stages, enhanced synthesis of Chlorella carotenoids was correlated with deteriorating water quality and the onset of oxidative stress. Initially, the microbial community was dominated by organic matter degradation, nitrate reduction, and fermentation. However, as cultivation progressed, metabolic activities shifted towards the photoassimilation of inorganic nutrients. The Chlorella sp. symbiotic system facilitated a rapid succession of the microbial community, which was characterized by frequent bacterial population changes, ultimately leading to a unique, temporally stable community structure. The initially diverse microbial population was progressively supplanted by more adaptive bacterial strains, achieving a steady state by the seventh day. Notably, Alcaligenaceae demonstrated exceptional adaptability compared to other genera, underscoring its pivotal role within the Chlorella sp. symbiotic system. This research provides valuable theoretical insights into algal-bacterial interactions and highlights their potential for application in water quality remediation.
用海洋小球藻处理真实水产养殖废水:污染物去除和微生物群落动态
本研究全面探讨了小球藻在真实养殖废水中的营养去除机制,同时考察了其共生微生物群落的动态变化。结果表明,微藻在废水中生长旺盛,能有效降低铵态氮、硝态氮和磷酸盐的浓度,去除率分别为95.0 %、93.2 %和91.7 %。培养初期pH值的波动表明异养微生物活性与微藻光合作用之间存在周期性相互作用。在后期,小球藻类胡萝卜素合成的增加与水质恶化和氧化应激的发生有关。最初,微生物群落以有机物降解、硝酸盐还原和发酵为主。然而,随着栽培的进行,代谢活动转向无机养分的光同化。小球藻共生系统促进了微生物群落的快速演替,其特征是细菌种群的频繁变化,最终形成了一个独特的、暂时稳定的群落结构。最初多样化的微生物种群逐渐被适应性更强的菌株所取代,在第7天达到稳定状态。值得注意的是,与其他属相比,Alcaligenaceae表现出特殊的适应性,强调了它在小球藻共生系统中的关键作用。该研究为藻-细菌相互作用提供了有价值的理论见解,并强调了它们在水质修复中的应用潜力。
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来源期刊
Biochemical Engineering Journal
Biochemical Engineering Journal 工程技术-工程:化工
CiteScore
7.10
自引率
5.10%
发文量
380
审稿时长
34 days
期刊介绍: The Biochemical Engineering Journal aims to promote progress in the crucial chemical engineering aspects of the development of biological processes associated with everything from raw materials preparation to product recovery relevant to industries as diverse as medical/healthcare, industrial biotechnology, and environmental biotechnology. The Journal welcomes full length original research papers, short communications, and review papers* in the following research fields: Biocatalysis (enzyme or microbial) and biotransformations, including immobilized biocatalyst preparation and kinetics Biosensors and Biodevices including biofabrication and novel fuel cell development Bioseparations including scale-up and protein refolding/renaturation Environmental Bioengineering including bioconversion, bioremediation, and microbial fuel cells Bioreactor Systems including characterization, optimization and scale-up Bioresources and Biorefinery Engineering including biomass conversion, biofuels, bioenergy, and optimization Industrial Biotechnology including specialty chemicals, platform chemicals and neutraceuticals Biomaterials and Tissue Engineering including bioartificial organs, cell encapsulation, and controlled release Cell Culture Engineering (plant, animal or insect cells) including viral vectors, monoclonal antibodies, recombinant proteins, vaccines, and secondary metabolites Cell Therapies and Stem Cells including pluripotent, mesenchymal and hematopoietic stem cells; immunotherapies; tissue-specific differentiation; and cryopreservation Metabolic Engineering, Systems and Synthetic Biology including OMICS, bioinformatics, in silico biology, and metabolic flux analysis Protein Engineering including enzyme engineering and directed evolution.
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