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AI and AI-powered digital twins for smart, green, and zero-energy buildings: A systematic review of leading-edge solutions for advancing environmental sustainability goals 智能、绿色和零能耗建筑的人工智能和人工智能驱动的数字孪生:推进环境可持续性目标的前沿解决方案的系统回顾
IF 14.3 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-11-01 DOI: 10.1016/j.ese.2025.100628
Simon Elias Bibri, Jeffrey Huang
<div><div>Buildings are among the largest contributors to global energy consumption and carbon emissions, making their transformation essential for advancing environmental sustainability goals. Innovative technologies such as artificial intelligence (AI) and digital twins (DTs) offer powerful tools for optimizing performance in smart, green, and zero-energy buildings. However, existing research remains fragmented—AI and AI-driven DT applications are often confined to isolated functions or specific building types—resulting in a limited, non-cohesive understanding of their collective potential in the built environment. This fragmentation, in turn, has hindered the development of integrated strategies that link building-level efficiencies with the broader environmental objectives of smart cities. To address these interrelated gaps, this study conducts a comprehensive systematic review of leading-edge AI and AI-powered DT solutions applied across smart, green, and zero-energy buildings. It aims to provide a holistic understanding of how these solutions enhance environmental performance through the analysis of key building-related indicators. By synthesizing, comparing, and evaluating recent research, it examines how AI and AI-powered DT technologies facilitate integrated, system-level strategies that promote environmentally sustainable smart practices across the built environment. The study reveals that AI enhances smart buildings by enabling dynamic energy optimization, occupant-centered environmental control, improved thermal comfort, renewable energy integration, and predictive system management. In green buildings, <span>AI</span> contributes to greater resource efficiency, minimizes construction and operational waste, promotes the use of sustainable materials, strengthens cost estimation and risk assessment processes, and supports adaptive design strategies. For zero-energy buildings, <span>AI</span> facilitates multi-objective optimization, advances explainable and transparent AI-driven control systems, supports performance benchmarking against net and nearly zero-energy standards, and enables renewable energy integration tailored to diverse climatic and regulatory contexts. Furthermore, AI-powered DTs enable real-time environmental monitoring, predictive analytics, anomaly detection, and adaptive operational strategies, thereby enhancing building performance, energy optimization, and resilience. At broader spatial scales, these technologies foster interconnected urban ecosystems, advancing environmental sustainability, sustainable development, and smart city initiatives. Building on these insights, this study introduces a novel integrated framework that positions AI and AI-driven DTs as systemic enablers of environmentally sustainable smart built and urban environments, emphasizing their cross-scale convergence in promoting carbon neutrality, circular economy principles, climate resilience, and regenerative urban strategies. The findings offer
建筑是全球能源消耗和碳排放的最大贡献者之一,因此其转型对于推进环境可持续性目标至关重要。人工智能(AI)和数字孪生(dt)等创新技术为优化智能、绿色和零能耗建筑的性能提供了强大的工具。然而,现有的研究仍然是碎片化的——人工智能和人工智能驱动的DT应用通常局限于孤立的功能或特定的建筑类型——导致对它们在建筑环境中的集体潜力的有限的、不连贯的理解。这种碎片化反过来又阻碍了将建筑层面的效率与智慧城市更广泛的环境目标联系起来的综合战略的发展。为了解决这些相互关联的差距,本研究对智能、绿色和零能耗建筑中应用的前沿人工智能和人工智能驱动的DT解决方案进行了全面系统的回顾。它旨在通过分析与建筑相关的关键指标,全面了解这些解决方案如何提高环境绩效。通过综合、比较和评估最近的研究,它研究了人工智能和人工智能驱动的DT技术如何促进集成的系统级战略,从而促进整个建筑环境中环境可持续的智能实践。研究表明,人工智能通过实现动态能源优化、以乘员为中心的环境控制、改善的热舒适性、可再生能源集成和预测性系统管理来增强智能建筑。在绿色建筑中,人工智能有助于提高资源效率,最大限度地减少建筑和运营浪费,促进可持续材料的使用,加强成本估算和风险评估过程,并支持适应性设计策略。对于零能耗建筑,人工智能促进了多目标优化,推进了可解释和透明的人工智能驱动控制系统,支持针对净和近零能耗标准的性能基准测试,并实现了针对不同气候和监管环境的可再生能源整合。此外,人工智能驱动的dt可以实现实时环境监测、预测分析、异常检测和自适应运营策略,从而提高建筑性能、能源优化和弹性。在更广泛的空间尺度上,这些技术促进了相互关联的城市生态系统,促进了环境可持续性、可持续发展和智慧城市倡议。在这些见解的基础上,本研究引入了一个新的集成框架,将人工智能和人工智能驱动的DTs定位为环境可持续智能建筑和城市环境的系统推动者,强调它们在促进碳中和、循环经济原则、气候适应能力和再生城市战略方面的跨尺度融合。研究结果为推进研究议程提供了可行途径,为建筑和城市系统设计提供了实用策略,并为致力于打造更智能、更可持续、更有弹性的城市未来的决策者提供了基于证据的建议。这项工作确立了人工智能和人工智能驱动的dt作为实现下一代资源节能型、碳中和型和生态一体化城市生态系统的变革性催化剂。
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引用次数: 0
The 2024 report of the synergetic roadmap on carbon neutrality and clean air for China: Pollution and carbon reduction promote green economic development 《中国碳中和与清洁空气协同路线图2024》报告:污染减排促进绿色经济发展
IF 14.3 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-11-01 DOI: 10.1016/j.ese.2025.100636
Zhicong Yin , Yu Lei , Xi Lu , Qiang Zhang , Jicheng Gong , Xin Liu , Wei Li , Cilan Cai , Qimin Chai , Renjie Chen , Wenhui Chen , Hancheng Dai , Zhanfeng Dong , Jingli Fan , Guannan Geng , Cunrui Huang , Jianlin Hu , Shan Hu , Moyu Li , Tiantian Li , Kebin He
Addressing climate change and air pollution exhibits strong synergy, and the Chinese government is actively promoting the integrated management of these two issues. Since 2019, the China Clean Air Policy Partnership has released annual reports on China's progress in climate and air pollution governance. These reports track and analyze the challenges and propose solutions for China's pursuit of carbon neutrality and clean air by developing and monitoring key indicators across five areas. This report is the fourth annual report. Building on previous research, it further refines the collaborative governance monitoring indicator system, including the addition of climate change and extreme weather, atmospheric greenhouse gases, and enhanced efficiency of pollution removal technologies. The report includes the following components: (1) an analysis of the interactions between air pollution and climate change; (2) a discussion of governance systems and practices, with an emphasis on policy implementation and local experiences; (3) coverage of structural changes and emission reduction technologies, including energy and industrial transitions, transportation, low-carbon buildings, carbon capture and storage, and power systems; (4) an overview of atmospheric dynamics and emission pathways, examining emission drivers and offering insights for future coordinated governance; and (5) an evaluation of the health impacts and benefits of joint actions. These efforts underscore China's commitment to integrated control, resulting in slowed carbon emission growth, improved air quality, and enhanced health benefits.
应对气候变化和大气污染具有很强的协同效应,中国政府正在积极推动两者的综合治理。自2019年以来,中国清洁空气政策伙伴关系每年都会发布关于中国气候和空气污染治理进展的报告。这些报告通过制定和监测五个领域的关键指标,跟踪和分析中国在追求碳中和和清洁空气方面面临的挑战,并提出解决方案。本报告是第四份年度报告。在前人研究的基础上,进一步完善了协同治理监测指标体系,包括增加了气候变化与极端天气、大气温室气体、提高了污染清除技术的效率等。报告包括以下内容:(1)分析空气污染与气候变化之间的相互作用;(2)讨论治理体系和实践,重点是政策实施和地方经验;(3)结构变化和减排技术的覆盖范围,包括能源和产业转型、交通运输、低碳建筑、碳捕集与封存以及电力系统;(4)概述大气动力学和排放途径,研究排放驱动因素,为未来的协调治理提供见解;(5)评价联合行动对健康的影响和效益。这些努力突显了中国对综合治理的承诺,从而减缓了碳排放增长,改善了空气质量,增强了健康效益。
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引用次数: 0
Tracking reservoir warming in a changing climate: A 31-year study from Czechia 在气候变化中跟踪水库变暖:捷克的一项31年研究
IF 14.3 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-11-01 DOI: 10.1016/j.ese.2025.100631
Petr Znachor , Dušan Kosour , Luděk Rederer , Václav Koza , Vojtěch Kolář , Jiří Nedoma
Freshwater reservoirs are critical for water management but face increasing impacts from climate change, which alters their thermal regimes and affects ecosystem functions globally. In temperate regions, surface water temperatures have risen at rates often surpassing those of air temperature, driven by atmospheric warming, hydrological processes, and reservoir morphometry. However, long-term studies on reservoir-specific thermal responses, particularly short-term variability, remain scarce. An important question is how environmental drivers influence both long-term warming trends and daily thermal fluctuations in managed water bodies. Here we show that over 31 years (1991–2021), surface water temperatures in 35 Czech reservoirs increased by an average of 0.59 °C per decade, with air temperature, altitude, and retention time as primary predictors of mean temperatures. A novel corrected metric for day-to-day variability (DTDV) revealed that inflow rate, depth, and retention time strongly influence short-term fluctuations, and DTDV trends positively correlated with warming rates, indicating linked drivers of thermal reorganization. Seasonal patterns showed strongest warming in April, with an anomaly of minimal change in May, likely tied to regional climatic shifts. These findings elucidate climate-driven thermal dynamics in reservoirs, highlighting the interaction of climatic and local factors. By combining statistical modeling with process-based indicators, this study informs adaptive strategies to mitigate impacts on water quality, stratification, and biodiversity under changing climates.
淡水水库对水资源管理至关重要,但气候变化的影响越来越大,气候变化改变了淡水水库的热状态,影响了全球生态系统的功能。在温带地区,受大气变暖、水文过程和水库形态测量的影响,地表水温度的上升速度往往超过气温的上升速度。然而,关于储层特定热响应的长期研究,特别是短期变化,仍然很少。一个重要的问题是环境驱动因素如何影响管理水体的长期变暖趋势和每日热波动。研究表明,在31年(1991-2021年)期间,捷克35个水库的地表水温度平均每十年增加0.59°C,气温、海拔和滞留时间是平均温度的主要预测因子。一种新的修正日变率(DTDV)指标显示,入流速率、深度和滞留时间对短期波动有强烈影响,DTDV趋势与升温速率正相关,表明热重组的相关驱动因素。季节模式显示,4月份的变暖最强烈,5月份的异常变化最小,这可能与区域气候变化有关。这些发现阐明了气候驱动的储层热动力学,强调了气候和当地因素的相互作用。通过将统计模型与基于过程的指标相结合,本研究提供了适应策略,以减轻气候变化对水质、分层和生物多样性的影响。
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引用次数: 0
Utilizing network optimization to mitigate rising greenspace exposure inequalities in Chinese cities from 2000 to 2050 利用网络优化缓解2000 - 2050年中国城市绿地暴露不平等加剧
IF 14.3 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-11-01 DOI: 10.1016/j.ese.2025.100633
Rundong Feng , Bin Chen , Shenghe Liu , Fuyuan Wang , Kaiyong Wang , Bojie Fu
Urban greenspaces enhance human well-being and promote sustainable development in rapidly urbanizing regions by delivering vital ecosystem services, including cooling, air purification, and recreation. In China, where cities accommodate a large share of the population amid persistent environmental pressures, disparities in greenspace exposure pose a major obstacle to equitable access; these disparities arise from geographic, climatic, socioeconomic, and landscape factors. Although awareness of such inequalities is growing, their long-term trajectories, demographic and city-scale patterns, and viable spatial optimization approaches remain largely unexplored. Here we show that greenspace exposure inequality across 246 Chinese cities increased by 25 % from 2000 to 2020 and is projected to rise further by 12.2–15.7 % by 2050 under middle-of-the-road and fossil-fueled development scenarios, disproportionately affecting older, less-educated women and megacity residents. Geodetector and random forest analyses reveal that this rise results from interactions among greenspace coverage, population density, and patch connectivity, which explain 83.9 % of the inequality. A network-based optimization approach that improves patch connectivity—without expanding total greenspace—can reduce disparities by 10.3–20.8 %, with greater efficacy in high-inequality cities and among vulnerable populations. Our results highlight how precise landscape interventions can advance social equity in greenspace access, supporting Sustainable Development Goal 11 for inclusive, resilient urban environments.
城市绿地通过提供重要的生态系统服务,包括降温、空气净化和娱乐,提高了人类福祉,促进了快速城市化地区的可持续发展。在中国,在持续的环境压力下,城市容纳了很大一部分人口,绿地暴露的差异对公平获取构成了主要障碍;这些差异是由地理、气候、社会经济和景观因素造成的。尽管人们对这种不平等现象的认识日益增强,但其长期轨迹、人口和城市规模的模式以及可行的空间优化方法在很大程度上仍未得到探索。研究表明,从2000年到2020年,246个中国城市的绿地暴露不平等增加了25%,预计到2050年,在中等道路和化石燃料发展情景下,绿地暴露不平等将进一步增加12.2 - 15.7%,对老年人、受教育程度较低的妇女和特大城市居民的影响尤为严重。地理探测器和随机森林分析表明,这种上升是绿地覆盖率、人口密度和斑块连通性之间的相互作用的结果,它们解释了83.9%的不平等。一种基于网络的优化方法,在不扩大总绿地面积的情况下,提高斑块连通性,可以将差距缩小10.3 - 20.8%,在不平等程度高的城市和弱势群体中效果更佳。我们的研究结果强调了精确的景观干预如何促进绿色空间准入方面的社会公平,支持可持续发展目标11中关于包容性、弹性城市环境的目标。
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引用次数: 0
GIEHP: A global, AI-powered platform for near real-time ecological intelligence GIEHP:全球近实时生态智能人工智能平台
IF 14.3 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-11-01 DOI: 10.1016/j.ese.2025.100634
Dong Xu, Yi-Chen Wang
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引用次数: 0
Hydrogen excess drives metabolic reprogramming and viral dynamics in syngas-converting microbiomes 氢过量驱动合成气转化微生物组的代谢重编程和病毒动力学
IF 14.3 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-11-01 DOI: 10.1016/j.ese.2025.100637
Gabriele Ghiotto, Luca Francescato, Maria Agustina Biancalani, Laura Treu, Stefano Campanaro
Microbial communities drive essential bioprocesses, including the conversion of synthesis gas into biomethane, a sustainable energy source that supports circular carbon economies. In anaerobic environments, specialized consortia of bacteria and archaea facilitate syngas methanation through syntrophic interactions, where hydrogenotrophic methanogens play a central role in reducing carbon dioxide and monoxide with hydrogen. However, imbalances in gas ratios, particularly excess hydrogen, can disrupt these interactions and impair overall efficiency. Yet, the molecular mechanisms underlying microbial responses to such imbalances remain poorly understood. Here we show that hydrogen excess triggers profound metabolic and viral remodeling in a thermophilic anaerobic microbiome, leading to reduced methane yields and ecological instability. This reprogramming involves transcriptional downregulation of methanogenesis genes in the dominant archaeon Methanothermobacter thermautotrophicus, coupled with upregulation of CRISPR-Cas and restriction-modification systems that correlate with diminished activity of an associated phage, indicating activated host defenses against viral threats. Concurrently, bacterial species such as those from Tepidanaerobacteraceae enhance carbon fixation via the Wood–Ljungdahl pathway, serving as electron sinks to mitigate redox imbalance. These adaptive responses highlight the microbiome's resilience mechanisms under stress, revealing viruses as both stressors and selective forces in syntrophic systems. Such insights advance our understanding of microbiome dynamics in bioconversion processes and guide the engineering of more stable microbial consortia for optimized syngas-to-methane conversion amid variable feedstocks.
微生物群落推动重要的生物过程,包括将合成气转化为生物甲烷,这是一种支持循环碳经济的可持续能源。在厌氧环境中,细菌和古细菌的特殊联合体通过共生相互作用促进合成气甲烷化,其中氢营养化产甲烷菌在用氢还原二氧化碳和一氧化碳方面发挥核心作用。然而,气体比例的不平衡,特别是过量的氢,会破坏这些相互作用,损害整体效率。然而,微生物对这种失衡反应的分子机制仍然知之甚少。在这里,我们发现氢过量会引发嗜热厌氧微生物群的深刻代谢和病毒重塑,导致甲烷产量减少和生态不稳定。这种重编程涉及优势古菌热自养产甲烷菌中产甲烷基因的转录下调,加上与相关噬菌体活性降低相关的CRISPR-Cas和限制性修饰系统的上调,表明激活了宿主对病毒威胁的防御。同时,来自Tepidanaerobacteraceae的细菌通过Wood-Ljungdahl途径增强碳固定,作为电子汇减轻氧化还原失衡。这些适应性反应突出了微生物组在压力下的恢复机制,揭示了病毒在共生系统中既是压力源又是选择力。这些见解促进了我们对生物转化过程中微生物组动力学的理解,并指导了在可变原料中优化合成气到甲烷转化的更稳定的微生物群落的工程设计。
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引用次数: 0
Evidence for local sources and trophic biomagnification of bisphenols in the Arctic 北极双酚的本地来源和营养生物放大的证据
IF 14.3 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-11-01 DOI: 10.1016/j.ese.2025.100627
Xi-Ze Min , Fei Chen , Zhi-Zhong Zhang , Lu Wang , Aasim M. Ali , Håkon A. Langberg , Sarah E. Hale , Gijsbert D. Breedveld , Bjørn Munro Jenssen , Åse-Karen Mortensen , Tomasz Ciesielski , Geir Wing Gabrielsen , Nan-Qi Ren , Yi-Fan Li , Zi-Feng Zhang , Roland Kallenborn
The Arctic, though remote, is exceptionally vulnerable to chemical contaminants that threaten its fragile ecosystems. Bisphenols (BPs), a class of endocrine-disrupting chemicals used in plastics and resins, are now detected across the Arctic, but the risks posed by their many analogues are poorly understood. Most studies have focused on documenting their presence, leaving a critical gap in our understanding of whether these compounds bioaccumulate in Arctic food webs and to what extent local, within-Arctic pollution contributes to the overall burden. Here we show, through a comprehensive analysis of 32 BPs in 134 samples from a Norwegian Arctic food web, that multiple BP analogues not only bioaccumulate but also biomagnify from plankton up to polar bears. We found that 5,5′-(1-methylethylidene)bis [(1,1′-biphenyl)-2-ol] (BPPH) exhibited the highest trophic magnification factor (TMF = 2.3), and we documented total BP concentrations in polar bear tissues up to 1396 ng g−1 wet weight, orders of magnitude higher than in lower-trophic-level species. Furthermore, our analysis identified distinct local pollution sources, such as a firefighting training site releasing 2,4,6-trichlorophenol (2,4,6-TBP) and landfill leachate contributing other BPs to the local environment. These findings provide the first evidence of trophic magnification for multiple BPs in a polar food chain and underscore the urgent need to incorporate food-web dynamics and local source management into ecological risk assessments for the Arctic.
北极虽然地处偏远,但却特别容易受到威胁其脆弱生态系统的化学污染物的影响。双酚(bp)是一种用于塑料和树脂的内分泌干扰化学物质,现在在整个北极地区都被检测到,但人们对它们的许多类似物所带来的风险知之甚少。大多数研究都集中在记录它们的存在,这给我们的理解留下了一个关键的空白,即这些化合物是否在北极食物网中生物积累,以及北极内部的局部污染在多大程度上造成了总体负担。在这里,我们通过对来自挪威北极食物网的134个样本中的32种BP的综合分析表明,多种BP类似物不仅可以生物积累,还可以生物放大,从浮游生物到北极熊。我们发现5,5 ' -(1-甲基乙基)二[(1,1 ' -联苯)-2-醇](BPPH)具有最高的营养放大因子(TMF = 2.3),并且我们记录了北极熊组织中的总BP浓度高达1396 ng g - 1湿重,比低营养水平物种高几个数量级。此外,我们的分析确定了不同的当地污染源,如消防训练场地释放2,4,6-三氯苯酚(2,4,6- tbp)和垃圾填埋场渗滤液,这些污染物对当地环境产生了其他bp。这些发现为极地食物链中多个bp的营养放大提供了第一个证据,并强调了将食物网动态和当地资源管理纳入北极生态风险评估的迫切需要。
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引用次数: 0
Immunoproteomics for wastewater-based health surveillance: A review 免疫蛋白质组学在废水健康监测中的应用综述
IF 14.3 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-11-01 DOI: 10.1016/j.ese.2025.100626
Jaxaira Maggi , Joaquin Abian , Antoni Ginebreda , Damià Barceló , Montserrat Carrascal
Wastewater-based epidemiology (WBE) offers a unique window into the health and habits of communities through the analysis of pollutants and biomarkers in sewage. Traditionally focused on small molecules, such as pharmaceuticals and illegal drugs, recent advances in environmental proteomics have expanded WBE to include large biomolecules such as proteins. Notably, novel sampling methods using polymeric probes and high-resolution mass spectrometry have facilitated the detection of human and animal proteins, both soluble and in particulate material, linking them to specific populations and industrial activities. An immunological dimension to this approach is fundamental to include the recognition of host immunoglobulins, immune-response proteins, and pathogen antigens in wastewater, potentially serving as indicators of community immune status, infection prevalence, and vaccination coverage. This review consolidates the latest advancements in environmental proteomics as applied to WBE, emphasizing an immunological perspective as a comprehensive tool for assessing population health and environmental conditions to bridge environmental monitoring, public health, and clinical diagnostics.
基于废水的流行病学(WBE)通过分析污水中的污染物和生物标志物,为了解社区的健康和习惯提供了一个独特的窗口。传统上专注于小分子,如药物和非法药物,环境蛋白质组学的最新进展已将WBE扩展到包括大型生物分子,如蛋白质。值得注意的是,使用聚合物探针和高分辨率质谱的新型采样方法促进了人类和动物蛋白质的检测,包括可溶性和颗粒物质,将它们与特定人群和工业活动联系起来。该方法的免疫学维度是基本的,包括对宿主免疫球蛋白、免疫反应蛋白和废水中的病原体抗原的识别,可能作为社区免疫状况、感染流行率和疫苗接种覆盖率的指标。本文综述了环境蛋白质组学在WBE研究中的最新进展,强调了免疫学视角作为评估人群健康和环境状况的综合工具,将环境监测、公共卫生和临床诊断联系起来。
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引用次数: 0
Oxygen doping enhances piezo-photocatalytic degradation of carbamazepine by molybdenum disulfide 氧掺杂增强了二硫化钼对卡马西平的压电光催化降解
IF 14.3 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-11-01 DOI: 10.1016/j.ese.2025.100639
Yanjiao Li , Lianfeng Wang , Yuting Ning , Ying Yuan , Xinping Fu , Jun Cui , Yu Jiang
Environmental pollution from persistent pharmaceuticals like carbamazepine (CBZ) poses severe risks to aquatic ecosystems and human health, yet conventional treatments struggle with low concentrations and secondary pollution. Piezo-photocatalysis, which harnesses mechanical and solar energies to drive charge separation, offers a promising alternative using materials such as molybdenum disulfide (MoS2), whose layered structure enables tunable piezoelectricity but is hindered by rapid electron-hole recombination and structural instability. However, the mechanistic role of oxygen doping in repairing sulfur vacancies and enhancing symmetry-breaking for improved performance remains underexplored. Here we show that hydrothermally synthesized oxygen-doped MoS2 (O5-MoS2) fully degrades 2 mg L−1 CBZ in 25 min under combined ultrasound and visible light, achieving a rate constant (kobs) of 0.13 min−1—11.4 times higher than undoped MoS2. This stems from oxygen substitution narrowing the bandgap to 1.94 eV, boosting the piezoelectric coefficient to 63 p.m. V−1 (versus 26 p.m. V−1), and generating a 0.19 V built-in potential that drives charge separation, as confirmed by 4.18 μA cm−2 synergistic photocurrents, density functional theory calculations revealing heightened Mo–O charge transfer (2.08–2.36 e), and finite element simulations of deformation-induced fields. Over five cycles, O5-MoS2 retains 100 % efficiency with minimal Mo leaching (1.9 %), reducing product toxicity across fish, daphnid, and algal models. These findings delineate oxygen doping's dual role in defect mitigation and polarization enhancement, paving the way for robust piezo-photocatalytic systems in real-world water purification.
卡马西平(CBZ)等持久性药物造成的环境污染对水生生态系统和人类健康构成严重风险,但传统治疗方法难以应对低浓度和二次污染。压电光催化,利用机械和太阳能驱动电荷分离,提供了一个有前途的替代材料,如二硫化钼(MoS2),其层状结构可以实现可调谐的压电性,但受到快速电子-空穴复合和结构不稳定的阻碍。然而,氧掺杂在修复硫空位和增强对称性破缺以提高性能方面的机制作用仍未得到充分研究。在超声和可见光联合作用下,水热合成的氧掺杂MoS2 (O5-MoS2)在25 min内完全降解2 mg L−1 CBZ,其速率常数(kobs)为0.13 min−1 - 11.4倍。这是由于氧取代将带隙缩小到1.94 eV,将压电系数提高到63 p.m.。V−1(相对于26 p.m.)通过4.18 μA cm−2协同光电流、密度泛函理论计算显示Mo-O电荷转移增强(2.08-2.36 e−)以及变形诱导场的有限元模拟,证实了该方法可产生0.19 V驱动电荷分离的内置电位。在五个循环中,O5-MoS2保持100%的效率,Mo浸出率最低(1.9%),降低了产品对鱼类、水蚤和藻类的毒性。这些发现描述了氧掺杂在缺陷缓解和极化增强方面的双重作用,为在现实世界的水净化中建立强大的压电光催化系统铺平了道路。
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引用次数: 0
Complete uranium bioreduction in 48 hours: Synergistic electron transfer in a synthetic microbial consortium 48小时内铀的完全生物还原:合成微生物联合体中的协同电子转移
IF 14.3 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-10-21 DOI: 10.1016/j.ese.2025.100629
Xizi Long , Yuanyuan Jiang , Zhaozhong Zhu , Yu Li , Nan Hu , Junzhan Hong , Hui Wang , Fei Yang
Uranium contamination from mining and natural sources poses a major environmental and health risk, as soluble uranium U(VI) readily migrates through groundwater systems. Microbial reduction to insoluble U(IV) via dissimilatory metal-reducing bacteria offers a sustainable remediation method, relying on extracellular electron transfer (EET) to shuttle electrons to extracellular acceptors. Shewanella oneidensis MR-1 (S.MR-1) serves as a model organism for this process, but its EET efficiency is hindered by limited endogenous redox mediators and biofilm conductivity. Despite advances in genetic engineering, the potential of synthetic microbial communities to enhance EET through interspecies interactions remains underexplored. Here we show a synthetic consortium comprising S.MR-1 and a non-U-reducing isolate, Pseudomonas aeruginosa LXZ1 (P.LXZ1), that fully reduces U(VI) within 48 h, compared to only 60 % reduction by S.MR-1 alone. This enhancement stems from P.LXZ1-secreted pyocyanin, which binds selectively to S.MR-1's outer-membrane cytochrome OmcA, shifting its redox potential to facilitate directional electron flow along a thermodynamic gradient. Concurrently, conductive extracellular DNA released by P. LXZ1 promotes electron transport and aggregate formation, as evidenced by electrochemical assays, transcriptomics, and molecular dynamics simulations. These synergistic mechanisms alleviate proton-transfer limitations and upregulate metabolic pathways, boosting overall EET rates. By harnessing natural microbial cooperation, this approach provides insights into community-driven metal reduction and paves the way for efficient, scalable bioremediation strategies in contaminated sites.
采矿和自然来源的铀污染构成重大的环境和健康风险,因为可溶性铀U(VI)很容易通过地下水系统迁移。微生物通过异化金属还原细菌还原为不溶性U(IV)提供了一种可持续的修复方法,依靠细胞外电子转移(EET)将电子传递到细胞外受体。同一希瓦氏菌MR-1 (S.MR-1)是这一过程的模式生物,但其EET效率受到内源性氧化还原介质和生物膜导电性的限制。尽管基因工程取得了进展,但合成微生物群落通过种间相互作用增强EET的潜力仍未得到充分探索。在这里,我们展示了一个由S.MR-1和非U还原分离物铜绿假单胞菌LXZ1 (P.LXZ1)组成的合成联合体,它在48小时内完全还原U(VI),而S.MR-1单独还原U(VI)仅为60%。这种增强源于p.l xz1分泌的花青素,它选择性地与S.MR-1的外膜细胞色素OmcA结合,改变其氧化还原电位,促进定向电子沿着热力学梯度流动。同时,P. LXZ1释放的导电细胞外DNA促进了电子传递和聚集体的形成,电化学分析、转录组学和分子动力学模拟证明了这一点。这些协同机制减轻了质子转移限制,上调了代谢途径,提高了整体EET率。通过利用天然微生物的合作,这种方法为社区驱动的金属还原提供了见解,并为污染场地的有效、可扩展的生物修复策略铺平了道路。
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Environmental Science and Ecotechnology
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