Bioresource Technology最新文献_第3页

Removal of antibiotics and antibiotic resistance genes from swine wastewater by visible-light driven photo bio-electro-Fenton system: Performance, mechanism, and energy self-supply balance 可见光驱动光电fenton系统去除猪废水中的抗生素及耐药基因：性能、机制及能量自供平衡

IF 11.4 1区环境科学与生态学 Q1 AGRICULTURAL ENGINEERING

Bioresource Technology

Pub Date : 2026-01-13 DOI: 10.1016/j.biortech.2026.134008

Hanyu Zhang, Ming Li, Yanzhi Cui, Jinqiu Qi, Ruixue Jiang, Banghao Du, Qunqun Liu, Zining Wang, Xiaochen Li

引用次数: 0

Hybrid data-driven machine learning model for predicting performance of lignocellulosic biomass gasification 用于预测木质纤维素生物质气化性能的混合数据驱动机器学习模型

IF 9 1区环境科学与生态学 Q1 AGRICULTURAL ENGINEERING

Bioresource Technology

Pub Date : 2026-01-13 DOI: 10.1016/j.biortech.2026.134001

Hortência E.P. Santana , Denise S. Ruzene , Isabelly P. Silva , Daniel P. Silva

Gasification is a promising technology for converting lignocellulosic residues into valuable energy and fuels. However, widespread adoption is challenging due to technical barriers in biomass thermoconversion, notably feedstock variability and tar formation. To advance in this field, modeling strategies have been employed to optimize the conversion process and reduce the need for costly and time-consuming experimental tests. This study introduces a hybrid machine learning (ML) model designed to predict gas, yield, syngas composition, and tar concentration from the gasification of different lignocellulosic feedstocks. The model combines advanced ensemble ML methods: gradient boosting machines (GBM), eXtreme Gradient Boosting (XGBoost), Categorical Boosting (CatBoost), and Natural Gradient Boosting (NGBoost), which were rigorously selected from a pool of ten ML methods using k-fold cross-validation and extensive performance evaluation. The model was trained on a comprehensive dataset of 270 experimental data points collected from 31 peer-reviewed studies, featuring varied levels of cellulose (0–69.85 %), hemicellulose (5.15–87 %), and lignin (8.55–62.86 %) under different processing conditions. Initial performance metrics (R2) of individual algorithms ranged from 0.59 to 0.93, and after hyperparameter optimization, the model’s predictive accuracies significantly improved, with R² values ranging from 0.77 to 0.94. Model interpretability tools were then employed to quantify the influence of each input feature, providing insight into the prediction mechanism. Thus, this hybrid ML model holds the potential to greatly reduce the experimental efforts required to optimize the gasification process for diverse lignocellulosic residues.

气化是一种很有前途的将木质纤维素残渣转化为有价值的能源和燃料的技术。然而，由于生物质热转化的技术障碍，特别是原料的可变性和焦油的形成，广泛采用具有挑战性。为了在这一领域取得进展，采用建模策略来优化转换过程，减少昂贵和耗时的实验测试。本研究介绍了一种混合机器学习（ML）模型，旨在预测不同木质纤维素原料气化产生的气体、产量、合成气成分和焦油浓度。该模型结合了先进的集成机器学习方法：梯度增强机（GBM）、极限梯度增强（XGBoost）、分类增强（CatBoost）和自然梯度增强（NGBoost），这些方法是通过k-fold交叉验证和广泛的性能评估从十种机器学习方法中严格选择出来的。该模型是在一个综合数据集上进行训练的，该数据集收集了来自31项同行评审研究的270个实验数据点，其中包括不同加工条件下不同水平的纤维素（0 - 69.85%）、半纤维素（5.15 - 87%）和木质素（8.55 - 62.86%）。各算法的初始性能指标（R2）在0.59 ~ 0.93之间，经过超参数优化后，模型的预测精度显著提高，R2值在0.77 ~ 0.94之间。然后使用模型可解释性工具来量化每个输入特征的影响，从而深入了解预测机制。因此，这种混合ML模型有可能大大减少优化不同木质纤维素残留物气化过程所需的实验努力。

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引用次数: 0

A fungal lectin that reinforces the cell wall to enhance fermentation 一种真菌凝集素，强化细胞壁以促进发酵

IF 9 1区环境科学与生态学 Q1 AGRICULTURAL ENGINEERING

Bioresource Technology

Pub Date : 2026-01-12 DOI: 10.1016/j.biortech.2026.133985

Chen Chen , JiaXi Miao , Bozheng Lin , Tuokai Wang , Dongyang Liu , Qirong Shen

The efficiency of filamentous fungi in industrial fermentations, particularly on lignocellulosic substrates, is often limited by hyphal integrity under stress. Enhancing cell wall robustness is a promising strategy for improving fungal performance. Transcriptomic analysis of Trichoderma harzianum under straw-based fermentation revealed significant upregulation of a novel fucose-specific lectin (FFSL). Molecular docking and isothermal titration calorimetry confirmed FFSL’s high-affinity (K_d = 5.24 μM), entropy-driven binding to fucose. Exogenous FFSL application remodelled the hyphal cell wall, as evidenced by thermogravimetric analysis and solid-state NMR, which indicated increased chitin content (by 11.26 %), enhanced acetylation, and elevated levels of matrix components like mannose and galactose. This structural reinforcement resulted in superior thermostability and stress tolerance. Consequently, FFSL treatment significantly boosted fungal biomass by up to 35.3 % and 24.96 % in wild-type and engineered strains, respectively, on straw medium. Most notably, extracellular protein production was dramatically enhanced, with increases of up to 86.26 % in the engineered strain, highlighting a concurrent improvement in protein secretion efficiency. FFSL acts as a potent cell wall potentiator by binding to surface fucose and inducing structural reinforcement. This strategy effectively enhances the robustness and productivity of Trichoderma harzianum in biotechnological applications, offering a novel approach for optimizing fungal cell factories.

丝状真菌在工业发酵中的效率，特别是在木质纤维素基质上的效率，往往受到菌丝完整性在压力下的限制。增强细胞壁健壮性是提高真菌性能的一种很有前途的策略。在秸秆发酵条件下，对哈茨木霉的转录组学分析显示，一种新型聚焦特异性凝集素（FFSL）显著上调。分子对接和等温滴定量热法证实了FFSL具有高亲和力（Kd = 5.24 μM）、熵驱动结合聚焦的特性。热重分析和固态核磁共振表明，外源FFSL重塑了菌丝细胞壁，增加了几丁质含量（11.26% %），增强了乙酰化，并提高了甘露糖和半乳糖等基质成分的水平。这种结构加固导致了优越的热稳定性和应力耐受性。因此，在秸秆培养基上，FFSL处理显著提高了野生型和工程菌株的真菌生物量，分别提高了35.3% %和24.96% %。最值得注意的是，细胞外蛋白产量显著提高，在工程菌株中增加了86.26 %，表明蛋白质分泌效率同时提高。FFSL作为一种有效的细胞壁增强剂，通过结合表面聚焦和诱导结构增强。该策略有效地提高了哈兹木霉在生物技术应用中的稳健性和生产力，为优化真菌细胞工厂提供了新的途径。

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引用次数: 0

Efficient recovery of rare earth elements from rare earth tailings using Acidithiobacillus thiooxidans: Mechanisms and feasibility 利用酸性硫氧化硫杆菌从稀土尾矿中高效回收稀土元素：机理与可行性

IF 9 1区环境科学与生态学 Q1 AGRICULTURAL ENGINEERING

Bioresource Technology

Pub Date : 2026-01-12 DOI: 10.1016/j.biortech.2026.134002

Yuyu Zhang , Rongting Yang , Wanling Cai , Zuliang Chen

The recovery of rare earth elements (REEs) from secondary resources is critical for resource sustainability and environmental protection. In this study, Acidithiobacillus thiooxidans (A. thiooxidans) was applied to bioleach REEs from rare earth tailings (RET). An average REEs extraction efficiency of 98.1% was achieved from 0.5% (w/v) RET within 14 days, outperforming many previously reported bioleaching systems. Variations in pH and scanning electron microscope (SEM) observations indicated that bioleaching was primarily driven by sulfur oxidation-induced acid dissolution. Analyses using three-dimensional excitation-emission matrix (3D-EEM) and Fourier transform infrared spectroscopy (FTIR) revealed that extracellular polymeric substances (EPS) secreted by A. thiooxidans were enriched in oxygen-containing functional groups, which facilitated the stabilization of dissolved REEs through complexation. Pearson correlation analysis further confirmed that acid dissolution was the dominant leaching mechanism, while EPS-mediated interactions played a secondary stabilizing role. Overall, this study demonstrates the feasibility of efficient REEs recovery from RET via bioleaching.

从二次资源中回收稀土元素对资源可持续性和环境保护具有重要意义。本研究利用酸性硫氧化硫杆菌（a.s thiooxidans）对稀土尾矿（RET）中的稀土元素进行生物降解。在14天内，从0.5% (w/v) RET中提取稀土元素的平均萃取效率达到98.1%，优于许多先前报道的生物浸出系统。pH的变化和扫描电镜（SEM）观察表明，生物浸出主要是由硫氧化引起的酸溶解驱动的。三维激发-发射矩阵（3D-EEM）和傅里叶变换红外光谱（FTIR）分析表明，硫代氧化木霉分泌的胞外聚合物（EPS）富集于含氧官能团中，通过络合作用促进了溶解稀土的稳定。Pearson相关分析进一步证实酸溶是主要的浸出机制，eps介导的相互作用起次要的稳定作用。总的来说，本研究证明了通过生物浸出从RET中高效回收稀土元素的可行性。

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引用次数: 0

Development of a digital twin framework for biomass pyrolysis: Leveraging machine learning for enhanced fuel flexibility 生物质热解数字孪生框架的开发：利用机器学习增强燃料灵活性

IF 11.4 1区环境科学与生态学 Q1 AGRICULTURAL ENGINEERING

Bioresource Technology

Pub Date : 2026-01-12 DOI: 10.1016/j.biortech.2026.133998

Ziad Nasef, Gerardo Diaz, Edbertho Leal-Quiros

There is an increasing need for fuel flexibility in the conversion of biomass through thermochemical processes such as pyrolysis. Achieving fuel flexibility only through an experimental approach is both expensive and time consuming. Therefore, a number of computational models are available that can capture the physics of the process. However, most of these models are developed for single-feedstock conditions and they can be quite computationally expensive. An alternative approach to modeling is the utilization of machine learning techniques which can learn the behavior of a process and, once trained using computational or experimental data, they can provide predictions in a timescale of seconds. In this work, a one-dimensional finite volume model was developed to simulate the pyrolysis process in a top-lit updraft (TLUD) biomass pyrolyzer. The model incorporates dynamic porosity change and a global single-step reaction scheme calibrated using experimental results for peach pit pyrolysis. The simulations captured the propagation of a self-sustained pyrolysis front under an opposed-airflow configuration. Data generated with the physics-based model were used to train an XGBoost machine learning model for which a sensitivity analysis was performed to identify the most influential parameters in the pyrolysis process. The trained model was then used to predict pyrolysis front propagation and peak solid temperature in a multi-feedstock experiment using peach and plum pits utilizing a digital twin framework. This work could be utilized to optimize process operating conditions for fuel flexibility, ensuring product homogeneity.

在通过热解等热化学过程转化生物质时，越来越需要燃料的灵活性。仅通过实验方法实现燃料灵活性既昂贵又耗时。因此，可以使用许多计算模型来捕捉该过程的物理特性。然而，大多数这些模型都是针对单一原料条件开发的，并且它们在计算上可能相当昂贵。另一种建模方法是利用机器学习技术，它可以学习过程的行为，一旦使用计算或实验数据进行训练，它们就可以在几秒钟的时间尺度内提供预测。在这项工作中，建立了一个一维有限体积模型来模拟顶燃上升气流（TLUD）生物质热解装置的热解过程。该模型结合了孔隙率的动态变化和桃核热解实验标定的全局单步反应方案。模拟捕获了在反气流配置下自持续热解锋的传播。基于物理模型生成的数据用于训练XGBoost机器学习模型，并对该模型进行敏感性分析，以识别热解过程中最具影响力的参数。利用数字孪生框架，将训练好的模型应用于桃李核多原料实验中热解锋扩展和峰值固体温度的预测。这项工作可用于优化燃料灵活性的工艺操作条件，确保产品的均匀性。

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引用次数: 0

Iron modulation of sulfur-mediated autotrophic denitrification: denitrification efficiency, microbial succession, and metabolic pathways 铁调节硫介导的自养反硝化：反硝化效率，微生物演替和代谢途径

IF 9 1区环境科学与生态学 Q1 AGRICULTURAL ENGINEERING

Bioresource Technology

Pub Date : 2026-01-12 DOI: 10.1016/j.biortech.2026.133997

Yating Chang , Songkai Qiu , Gavin Collins , Yuansheng Hu , Po-Heng Lee , Xinmin Zhan

The application of iron sulfide-mediated autotrophic denitrification is promising for nitrate reduction in carbon-deficient wastewater and polluted groundwater. Previous studies have shown distinct functional microbial communities in different iron sulfide-mediated autotrophic denitrification systems, obscuring how iron modulates their composition and activity. In this study, iron-modulated sulfur autotrophic denitrification efficiency, microbial succession, and key pathways were investigated at different iron levels. Results showed that 1 mM Fe²⁺ enhanced denitrification efficiency (91.1 %) and prevented cell encrustation. Metagenomic analysis indicated that phylum Campylobacterota (16.0 %) and genus Sulfurimonas (14.4 %) were enriched under iron-modulated conditions. Iron modulated nitrate reduction by improving the relative abundance of complete denitrification genes (napA, napB, and nosZ) and stimulating sulfur metabolism through the SOX complex pathway (soxZ and soxY). These findings reveal the role of iron in modulating sulfur-mediated autotrophic denitrification and provide new insights into the microbial mechanisms involved in iron–sulfur coupling systems.

硫化铁介导的自养反硝化在缺碳废水和污染地下水中的硝酸盐还原应用前景广阔。先前的研究表明，在不同的硫化铁介导的自养反硝化系统中，不同的功能微生物群落，模糊了铁如何调节它们的组成和活性。本研究研究了不同铁水平下铁调控硫自养反硝化效率、微生物演替和关键途径。结果表明，1 mM Fe2+提高了脱氮效率（91.1 %），防止了细胞结壳。宏基因组分析表明，在铁调节条件下，Campylobacterota门（16.0 %）和sulphimonas属（14.4 %）富集。铁通过提高完全反硝化基因（napA、napB和nosZ）的相对丰度和通过SOX复合物途径（soxZ和soxY）刺激硫代谢来调节硝酸盐还原。这些发现揭示了铁在调节硫介导的自养反硝化中的作用，并为铁硫耦合系统中涉及的微生物机制提供了新的见解。

{"title":"Iron modulation of sulfur-mediated autotrophic denitrification: denitrification efficiency, microbial succession, and metabolic pathways","authors":"Yating Chang , Songkai Qiu , Gavin Collins , Yuansheng Hu , Po-Heng Lee , Xinmin Zhan","doi":"10.1016/j.biortech.2026.133997","DOIUrl":"10.1016/j.biortech.2026.133997","url":null,"abstract":"<div><div>The application of iron sulfide-mediated autotrophic denitrification is promising for nitrate reduction in carbon-deficient wastewater and polluted groundwater. Previous studies have shown distinct functional microbial communities in different iron sulfide-mediated autotrophic denitrification systems, obscuring how iron modulates their composition and activity. In this study, iron-modulated sulfur autotrophic denitrification efficiency, microbial succession, and key pathways were investigated at different iron levels. Results showed that 1 mM Fe<sup>2+</sup> enhanced denitrification efficiency (91.1 %) and prevented cell encrustation. Metagenomic analysis indicated that phylum <em>Campylobacterota</em> (16.0 %) and genus <em>Sulfurimonas</em> (14.4 %) were enriched under iron-modulated conditions. Iron modulated nitrate reduction by improving the relative abundance of complete denitrification genes (<em>napA</em>, <em>napB</em>, and <em>nosZ</em>) and stimulating sulfur metabolism through the SOX complex pathway (<em>soxZ</em> and <em>soxY</em>). These findings reveal the role of iron in modulating sulfur-mediated autotrophic denitrification and provide new insights into the microbial mechanisms involved in iron–sulfur coupling systems.</div></div>","PeriodicalId":258,"journal":{"name":"Bioresource Technology","volume":"444 ","pages":"Article 133997"},"PeriodicalIF":9.0,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145956657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Marine polysaccharide-based edible film as degradable alternative to plastic packaging: Preparations, applications and recent advances 海洋多糖基可降解塑料包装替代品：制备、应用及最新进展

IF 9 1区环境科学与生态学 Q1 AGRICULTURAL ENGINEERING

Bioresource Technology

Pub Date : 2026-01-12 DOI: 10.1016/j.biortech.2026.134000

Hongyu Pu , Mingyi Liu , Tingting Qiang , Pengbo Wang , Fanfei Ma , Jing Gan , Hao Chen

The increasing demand for sustainable food packaging solutions has spurred significant interest in edible films. Marine polysaccharides, as a main source of bioplastics, present a promising alternative to traditional plastic packaging due to their biodegradable, renewable, and bioactive properties. This review examines the diverse range of marine polysaccharides sourced from marine organisms that have been utilized in the production of edible films, including tunicate cellulose, ulvan and laminarin. Key properties and methods adopted to indicate these qualities are discussed. Additionally, various preparation methods and applications of marine edible films are outlined. Recent progress has primarily focused on the development of intelligent and active films to enhance their properties. The integration of intelligent sensors, artificial intelligence, and 4D printing technique have significantly broadened the application of marine polysaccharide-based films. Despite the promising advancements, biodegradability and Life Circle Assessment are introduced to indicate possible improvements for both research and production. To reveal the potential market value, Techno-economic analysis and successful commercialization cases were mentioned. In conclusion, marine polysaccharide films are recognized as prospective materials for the future advancement of sustainable food packaging.

对可持续食品包装解决方案日益增长的需求激发了人们对可食用薄膜的极大兴趣。海洋多糖作为生物塑料的主要来源，具有可生物降解、可再生和生物活性等特点，是传统塑料包装的重要替代品。本文综述了来自海洋生物的各种海洋多糖，这些多糖已被用于生产可食用薄膜，包括被膜纤维素、ulvan和laminarin。讨论了表征这些特性的关键特性和方法。此外，还概述了海洋食用薄膜的各种制备方法及其应用。最近的进展主要集中在智能和活性薄膜的发展，以提高其性能。智能传感器、人工智能和4D打印技术的融合，极大地拓宽了海洋多糖基薄膜的应用领域。尽管有前景的进展，生物降解性和生命周期评估介绍了可能的改进研究和生产。通过技术经济分析和成功的商业化案例，揭示了其潜在的市场价值。综上所述，海洋多糖薄膜被认为是未来可持续食品包装发展的前景材料。

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引用次数: 0

Exploring patterns and mechanisms of indigenous microbial community succession driven by polycyclic aromatics in heterotrophic nitrification and aerobic denitrification systems 探讨异养硝化和好氧反硝化系统中多环芳烃驱动的本地微生物群落演替模式和机制

IF 9 1区环境科学与生态学 Q1 AGRICULTURAL ENGINEERING

Bioresource Technology

Pub Date : 2026-01-12 DOI: 10.1016/j.biortech.2026.133999

Weidong Xiao , Yaoguo Wu , Lang Ran , Ran Sun , Sihai Hu , Zherui Zhang , Usman Ghani , Azhar Masaud , Maorui Zhang

Although heterotrophic nitrification and aerobic denitrification process can efficiently remediate polycyclic aromatic hydrocarbons (PHAs) contamination in aquatic environments, the succession patterns and potential mechanisms of PAHs-driven microbial communities remain unclear. This study established the microcosms containing phenanthrene (PHE) pollution to address the aforementioned issues. Key genes and enzymes revealed that PHE impacted nitrogen conversion efficiency by inhibiting carbon and nitrogen metabolism, while ammonia nitrogen assimilation and nitrate nitrogen dissimilatory reduction were the main nitrogen transformation pathways. Meanwhile, PHE enhanced species specialization during community succession, allowing specialized species with environmental functions to reorganize microbial communities. These functional microbes resisted and degraded PHE pollutants through strengthened quorum sensing, ABC transporters and carbon metabolism. In addition, microbial community succession was jointly controlled by the synergistic effects between microbes and the heterogeneous selection patterns induced by PHE. This study provides valuable reference and theoretical basis for the bioremediation of PAHs-contaminated water bodies.

虽然异养硝化和好氧反硝化工艺可以有效地修复水生环境中的多环芳烃污染，但多环芳烃驱动的微生物群落演替模式和潜在机制尚不清楚。为了解决上述问题，本研究建立了含菲污染的微观环境。关键基因和酶分析表明，PHE通过抑制碳氮代谢影响氮素转化效率，而氨氮同化和硝态氮异化还原是氮素转化的主要途径。同时，PHE增强了群落演替过程中的物种特化，使具有环境功能的特化物种能够重组微生物群落。这些功能微生物通过加强群体感应、ABC转运体和碳代谢来抵抗和降解PHE污染物。此外，微生物群落演替受微生物间的协同效应和PHE诱导的异质性选择模式共同控制。本研究为多环芳烃污染水体的生物修复提供了有价值的参考和理论依据。

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引用次数: 0

Corrigendum to “Efficient treatment of high-strength refractory wastewater via micropressure internal circulation reactor: Performance and mechanisms” [Bioresour. Technol. 444 (2026) 133964] “通过微压内循环反应器高效处理高强度难处理废水：性能和机制”的勘误表[生物资源]。科技. 444 (2026)133964]

IF 11.4 1区环境科学与生态学 Q1 AGRICULTURAL ENGINEERING

Bioresource Technology

Pub Date : 2026-01-11 DOI: 10.1016/j.biortech.2026.133991

Dejun Bian, Xuejian Sun, Hongliang Huo, Fan Wang, Bomin Wang, Hui Ma, Jinhao Pu

引用次数: 0

Membrane aerated biofilm reactor for largely enhanced nitrogen removal in low carbon/nitrogen ratio municipal wastewater: integrating nitrification, partial denitrification, and anammox 膜曝气生物膜反应器对低碳/氮比城市污水的脱氮效果：集硝化、部分反硝化和厌氧氨氧化于一体

IF 9 1区环境科学与生态学 Q1 AGRICULTURAL ENGINEERING

Bioresource Technology

Pub Date : 2026-01-11 DOI: 10.1016/j.biortech.2026.133994

Xiwei Cao , Lin Zhang , Haoran Tu , Ting Li , Guofeng Wang , Ling Xiao , Yupeng Zhang , Peng Liu , Yi Li , Jiaye Li , Xinglin Li , Boyang Hu , Shuo Zhang , Baoan Li

This study first established an integrated nitrification-partial denitrification-anammox (INPDA) process in a single-stage membrane aerated biofilm reactor (MABR) under low dissolved oxygen concentrations (0.12–0.27 mg/L) and low carbon/nitrogen ratios (1.0–3.0), without the need for anaerobic ammonia-oxidizing bacteria (AnAOB) inoculation. The optimal effluent total nitrogen (TN) concentration reached below 5 mg/L, achieving a 92.7% TN removal efficiency. Nitrifiers (including Ellin6067 and Nitrospira) oxidized a portion of ammonium to nitrate, which was subsequently reduced to nitrite by partial denitrifier Thauera utilizing influent organic carbon. Subsequently, AnAOB Candidatus Brocadia converted remaining ammonium and available nitrite into nitrogen. Metagenomics further confirmed a 32.96-fold increase in anammox-associated gene (hdh) abundance during INPDA establishment. Notably, this elevated hdh abundance remained stable even as carbon/nitrogen ratio increased, demonstrating process robustness. This study established a promising single-stage MABR strategy to advance mainstream anammox application.

本研究首次在单级曝气膜生物膜反应器（MABR）中建立了低溶解氧浓度（0.12-0.27 mg/L）、低碳氮比（1.0-3.0）、无需接种厌氧氨氧化菌（AnAOB）的一体化硝化-部分反硝化-厌氧氨氧化（INPDA）工艺。最佳出水总氮（TN）浓度为5 mg/L以下，TN去除率为92.7%。硝化菌（包括Ellin6067和硝化螺旋菌）将一部分铵氧化为硝酸盐，随后由部分反硝化菌Thauera利用进水的有机碳将其还原为亚硝酸盐。随后，AnAOB Candidatus Brocadia将剩余的铵和有效亚硝酸盐转化为氮。宏基因组学进一步证实，在INPDA建立期间，厌氧氨氧化相关基因（hdh）丰度增加了32.96倍。值得注意的是，即使碳氮比增加，hdh丰度的升高也保持稳定，证明了工艺的稳健性。本研究建立了一种有前景的单阶段MABR策略，以推进厌氧氨氧化的主流应用。

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引用次数: 0