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Spatiotemporal drivers of Nature's contributions to people: A county-level study 大自然对人类贡献的时空驱动因素:县级研究
IF 12.6 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2024-05-19 DOI: 10.1016/j.ese.2024.100430
Wei Jiang , Bojie Fu , Zhongguo Shu , Yihe Lv , Guangyao Gao , Xiaoming Feng , Stefan Schüler , Xing Wu , Cong Wang

Nature's contributions to people (NCP) encompass both the beneficial and detrimental effects of living nature on human quality of life, including regulatory, material, and non-material contributions. Globally, vital NCPs have been deteriorating, accelerated by changes in both natural and anthropogenic drivers over recent decades. Despite the often inevitable trade-offs between NCPs due to their spatially and temporally uneven distributions, few studies have quantitatively assessed the impacts of different drivers on the spatial and temporal changes in multiple NCPs and their interrelationships. Here we evaluate the effects of precipitation, temperature, population, gross domestic product, vegetation restoration, and urban expansion on four key regulatory NCPs—habitat maintenance, climate regulation, water quantity regulation, and soil protection—in Nei Mongol at the county level. We observe increasing trends in climate regulation and soil protection from 2000 to 2019, contrasted with declining trends in habitat maintenance and water quantity regulation. We have identified the dominant positive and negative drivers influencing each NCP across individual counties, finding that natural drivers predominantly overpowered anthropogenic drivers. Furthermore, we discover significant spatial disparities in the trade-off or synergy relationships between NCPs across the counties. Our findings illustrate how the impacts of various drivers on NCPs and their interrelationships can be quantitatively evaluated, offering significant potential for application in various spatial scales. With an understanding of trade-offs and scale effects, these insights are expected to support and inform policymaking at both county and provincial levels.

大自然对人类的贡献(NCP)包括有生命的大自然对人类生活质量的有益和有害影响,包括调节、物质和非物质贡献。在全球范围内,由于近几十年来自然和人为因素的变化,重要的 NCP 不断恶化。尽管由于 NCP 在空间和时间上分布不均,它们之间的权衡往往不可避免,但很少有研究对不同驱动因素对多个 NCP 的空间和时间变化及其相互关系的影响进行定量评估。在此,我们从县级层面评估了降水、气温、人口、国内生产总值、植被恢复和城市扩张对内蒙古四个主要调控性 NCP(栖息地维护、气候调节、水量调节和土壤保护)的影响。我们观察到,从 2000 年到 2019 年,气候调节和土壤保护呈上升趋势,而生境维护和水量调节则呈下降趋势。我们确定了影响各县每个国家方案的主要积极和消极驱动因素,发现自然驱动因素主要压倒人为驱动因素。此外,我们还发现,各县国家观测计划之间的权衡或协同关系存在明显的空间差异。我们的研究结果说明了如何定量评估各种驱动因素对国家观测点的影响及其相互关系,为各种空间尺度的应用提供了巨大潜力。有了对权衡和规模效应的了解,这些见解有望为县级和省级决策提供支持和信息。
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引用次数: 0
Characterizing leaf-deposited particles: Single-particle mass spectral analysis and comparison with naturally fallen particles 叶片沉积颗粒的特征:单颗粒质谱分析及与自然落下颗粒的比较
IF 12.6 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2024-05-18 DOI: 10.1016/j.ese.2024.100432
Dele Chen , Hua-Yun Xiao , Ningxiao Sun , Jingli Yan , Shan Yin

The size and composition of particulate matter (PM) are pivotal in determining its adverse health effects. It is important to understand PM's retention by plants to facilitate its atmospheric removal. However, the distinctions between the size and composition of naturally fallen PM (NFPM) and leaf-deposited PM (LDPM) are not well-documented. Here we utilize a single-particle aerosol mass spectrometer, coupled with a PM resuspension chamber, to analyze these differences. We find that LDPM particles are 6.8–97.3 % larger than NFPM. Employing a neural network algorithm based on adaptive resonance theory, we have identified distinct compositional profiles: NFPM predominantly consists of organic carbon (OC; 31.2 %) and potassium-rich components (19.1 %), whereas LDPM are largely composed of crustal species (53.9–60.6 %). Interestingly, coniferous species retain higher OC content (11.5–13.7 %) compared to broad-leaved species (0.5–1.2 %), while the levoglucosan content exhibit an opposite trend. Our study highlights the active role of tree leaves in modifying PM composition beyond mere passive capture, advocating for a strategic approach to species selection in urban greening initiatives to enhance PM mitigation. These insights provide guidance for urban planners and environmentalists in implementing nature-based solutions to improve urban air quality.

颗粒物(PM)的大小和成分是决定其不良健康影响的关键。了解可吸入颗粒物在植物中的滞留情况以促进其在大气中的清除非常重要。然而,自然落下的可吸入颗粒物(NFPM)和叶片沉积的可吸入颗粒物(LDPM)的大小和成分之间的区别并没有得到很好的记录。在这里,我们利用单颗粒气溶胶质谱仪和可吸入颗粒物再悬浮室来分析这些差异。我们发现 LDPM 颗粒比 NFPM 大 6.8-97.3%。利用基于自适应共振理论的神经网络算法,我们确定了不同的成分特征:NFPM主要由有机碳(OC;31.2%)和富含钾的成分(19.1%)组成,而LDPM主要由地壳物种(53.9-60.6%)组成。有趣的是,与阔叶树种(0.5-1.2%)相比,针叶树种保留了更高的 OC 含量(11.5-13.7%),而左旋葡聚糖含量则呈现出相反的趋势。我们的研究强调了树叶在改变可吸入颗粒物成分方面的积极作用,而不仅仅是被动捕捉,提倡在城市绿化活动中采用树种选择的战略方法,以加强可吸入颗粒物的减缓作用。这些见解为城市规划者和环境学家实施基于自然的解决方案以改善城市空气质量提供了指导。
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引用次数: 0
Biocontrol agents modulate phyllosphere microbiota interactions against pathogen Pseudomonas syringae 生物控制剂调节叶球微生物群与病原体丁香假单胞菌的相互作用
IF 12.6 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2024-05-17 DOI: 10.1016/j.ese.2024.100431
Zhaoyue Yang , Tianbo Liu , Jianqiang Fan , Yiqiang Chen , Shaolong Wu , Jingjing Li , Zhenghua Liu , Zhendong Yang , Liangzhi Li , Suoni Liu , Hongwu Yang , Huaqun Yin , Delong Meng , Qianjun Tang

The pathogen Pseudomonas syringae, responsible for a variety of diseases, poses a considerable threat to global crop yields. Emerging biocontrol strategies employ antagonistic microorganisms, utilizing phyllosphere microecology and systemic resistance to combat this disease. However, the interactions between phyllosphere microbial dynamics and the activation of the plant defense system remain poorly understood. Here we show significant alterations in phyllosphere microbiota structure and plant gene expression following the application of biocontrol agents. We reveal enhanced collaboration and integration of Sphingomonas and Methylobacterium within the microbial co-occurrence network. Notably, Sphingomonas inhibits P. syringae by disrupting pathogen chemotaxis and virulence. Additionally, both Sphingomonas and Methylobacterium activate plant defenses by upregulating pathogenesis-related gene expression through abscisic acid, ethylene, jasmonate acid, and salicylic acid signaling pathways. Our results highlighted that biocontrol agents promote plant health, from reconstructing beneficial microbial consortia to enhancing plant immunity. The findings enrich our comprehension of the synergistic interplays between phyllosphere microbiota and plant immunity, offering potential enhancements in biocontrol efficacy for crop protection.

导致多种病害的病原体丁香假单胞菌对全球作物产量构成了巨大威胁。新出现的生物防治策略采用拮抗微生物,利用叶球微生态学和系统抗性来防治这种病害。然而,人们对植物叶球微生物动态与植物防御系统激活之间的相互作用仍然知之甚少。在这里,我们展示了施用生物控制剂后叶球微生物群结构和植物基因表达的显著变化。我们发现,在微生物共生网络中,鞘氨单胞菌和甲基杆菌的协作和整合得到了加强。值得注意的是,鞘氨单胞菌通过破坏病原体的趋化性和毒力来抑制 P. syringae。此外,Sphingomonas 和 Methylobacterium 都能通过脱落酸、乙烯、茉莉酸和水杨酸信号通路上调致病相关基因的表达,从而激活植物防御能力。我们的研究结果突出表明,从重建有益微生物群到增强植物免疫力,生物控制剂都能促进植物健康。这些发现丰富了我们对植物叶球微生物群与植物免疫之间协同作用的理解,为提高作物保护的生物防治功效提供了可能。
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引用次数: 0
The synergistic interplay of artificial intelligence and digital twin in environmentally planning sustainable smart cities: A comprehensive systematic review 人工智能与数字双胞胎在环境规划可持续智慧城市中的协同作用:全面系统综述
IF 12.6 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2024-05-17 DOI: 10.1016/j.ese.2024.100433
Simon Elias Bibri , Jeffrey Huang , Senthil Kumar Jagatheesaperumal , John Krogstie
<div><p>The dynamic landscape of sustainable smart cities is witnessing a significant transformation due to the integration of emerging computational technologies and innovative models. These advancements are reshaping data-driven planning strategies, practices, and approaches, thereby facilitating the achievement of environmental sustainability goals. This transformative wave signals a fundamental shift — marked by the synergistic operation of artificial intelligence (AI), artificial intelligence of things (AIoT), and urban digital twin (UDT) technologies. While previous research has largely explored urban AI, urban AIoT, and UDT in isolation, a significant knowledge gap exists regarding their synergistic interplay, collaborative integration, and collective impact on data-driven environmental planning in the dynamic context of sustainable smart cities. To address this gap, this study conducts a comprehensive systematic review to uncover the intricate interactions among these interconnected technologies, models, and domains while elucidating the nuanced dynamics and untapped synergies in the complex ecosystem of sustainable smart cities. Central to this study are four guiding research questions: 1. What theoretical and practical foundations underpin the convergence of AI, AIoT, UDT, data-driven planning, and environmental sustainability in sustainable smart cities, and how can these components be synthesized into a novel comprehensive framework? 2. How does integrating AI and AIoT reshape the landscape of data-driven planning to improve the environmental performance of sustainable smart cities? 3. How can AI and AIoT augment the capabilities of UDT to enhance data-driven environmental planning processes in sustainable smart cities? 4. What challenges and barriers arise in integrating and implementing AI, AIoT, and UDT in data-driven environmental urban planning, and what strategies can be devised to surmount or mitigate them? Methodologically, this study involves a rigorous analysis and synthesis of studies published between January 2019 and December 2023, comprising an extensive body of literature totaling 185 studies. The findings of this study surpass mere interdisciplinary theoretical enrichment, offering valuable insights into the transformative potential of integrating AI, AIoT, and UDT technologies to advance sustainable urban development practices. By enhancing data-driven environmental planning processes, these integrated technologies and models offer innovative solutions to address complex environmental challenges. However, this endeavor is fraught with formidable challenges and complexities that require careful navigation and mitigation to achieve desired outcomes. This study serves as a comprehensive reference guide, spurring groundbreaking research endeavors, stimulating practical implementations, informing strategic initiatives, and shaping policy formulations in sustainable urban development. These insights have profound implicatio
由于整合了新兴计算技术和创新模式,可持续智慧城市的动态格局正在发生重大转变。这些进步正在重塑数据驱动的规划战略、实践和方法,从而促进环境可持续性目标的实现。人工智能(AI)、物联网人工智能(AIoT)和城市数字孪生(UDT)技术的协同运作标志着这一变革浪潮的根本转变。以往的研究大多孤立地探讨了城市人工智能、城市人工智能物联网和城市数字孪生技术,但在可持续智慧城市的动态背景下,关于它们之间的协同作用、协作整合以及对数据驱动的环境规划的集体影响,还存在着巨大的知识空白。为了弥补这一差距,本研究进行了全面的系统回顾,以揭示这些相互关联的技术、模型和领域之间错综复杂的相互作用,同时阐明可持续智慧城市复杂生态系统中的微妙动态和尚未开发的协同作用。本研究的核心是四个指导性研究问题:1.在可持续智慧城市中,人工智能、AIoT、UDT、数据驱动的规划和环境可持续性的融合有哪些理论和实践基础,以及如何将这些组成部分综合为一个新颖的综合框架?2.整合人工智能和 AIoT 如何重塑数据驱动规划的格局,从而提高可持续智慧城市的环境绩效?3.人工智能和人工智能物联网如何增强 UDT 的能力,以加强可持续智慧城市的数据驱动型环境规划流程?4.在数据驱动的城市环境规划中整合和实施人工智能、AIoT 和 UDT 时会遇到哪些挑战和障碍,可以制定哪些策略来克服或缓解这些挑战和障碍?在方法论上,本研究对 2019 年 1 月至 2023 年 12 月间发表的研究进行了严格的分析和综合,包括大量文献,共计 185 项研究。本研究的发现超越了单纯的跨学科理论充实,为整合人工智能、AIoT 和 UDT 技术推进可持续城市发展实践的变革潜力提供了宝贵的见解。通过加强数据驱动的环境规划流程,这些集成技术和模型为应对复杂的环境挑战提供了创新解决方案。然而,这项工作充满了艰巨的挑战和复杂性,需要小心谨慎地驾驭和缓解,才能取得预期成果。本研究报告可作为全面的参考指南,推动开创性的研究工作,促进实际实施,为战略举措提供信息,并影响城市可持续发展的政策制定。这些见解对研究人员、从业人员和政策制定者具有深远的影响,为营造具有弹性设计、先进技术和环保意识的城市环境提供了路线图。
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引用次数: 0
Solute flow and particle transport in aquatic ecosystems: A review on the effect of emergent and rigid vegetation 水生生态系统中的溶质流和颗粒传输:关于挺水植被和刚性植被影响的综述
IF 12.6 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2024-05-10 DOI: 10.1016/j.ese.2024.100429
Judy Q. Yang

In-channel vegetation is ubiquitous in aquatic environments and plays a critical role in the fate and transport of solutes and particles in aquatic ecosystems. Recent studies have advanced our understanding of the role of vegetation in solute flow and particle transport in aquatic ecosystems. This review summarizes these papers and discusses the impacts of emergent and rigid vegetation on the surface flow, the advection and dispersion of solutes, suspended load transport, bedload transport, and hyporheic exchange. The two competing effects of emergent vegetation on the above transport processes are discussed. On the one hand, emergent vegetation reduces mean flow velocity at the same surface slope, which reduces mass transport. On the other hand, at the same mean flow velocity, vegetation generates turbulence, which enhances mass transport. Mechanistic understanding of these two competing effects and predictive equations derived from laboratory experiments are discussed. Predictive equations for the mean flow velocity and turbulent kinetic energy inside an emergent vegetation canopy are derived based on force and energy balance. The impacts of emergent vegetation on the advection-dispersion process, the suspended load and bedload transport, and the hyporheic exchange are summarized. The impacts of other vegetation-related factors, such as vegetation morphology, submergence, and flexibility, are briefly discussed. The role of vegetation in transporting other particles, such as micro- and macro-plastics, is also briefly discussed. Finally, suggestions for future research directions are proposed to advance the understanding of the dynamic interplays among natural vegetation, flow dynamics, and sedimentary processes.

河道内植被在水生环境中无处不在,对水生生态系统中溶质和颗粒的归宿和迁移起着至关重要的作用。最近的研究加深了我们对植被在水生生态系统溶质流动和颗粒传输中的作用的理解。本综述总结了这些论文,并讨论了挺水植被和刚性植被对表层流、溶质的吸附和扩散、悬浮物迁移、床面负荷迁移以及水体交换的影响。文章讨论了出露植被对上述迁移过程的两种相互影响。一方面,出露植被降低了同一表面坡度的平均流速,从而减少了质量迁移。另一方面,在相同的平均流速下,植被会产生湍流,从而增强质量输运。本文讨论了对这两种相互影响的机理的理解以及从实验室实验中得出的预测方程。根据力和能量平衡推导出了出露植被冠层内平均流速和湍流动能的预测方程。总结了挺水植被对平流-分散过程、悬浮物和床面负荷输送以及水体交换的影响。简要讨论了与植被有关的其他因素的影响,如植被形态、淹没程度和柔韧性。此外,还简要讨论了植被在迁移微塑料和大塑料等其他颗粒物方面的作用。最后,提出了未来研究方向的建议,以推进对自然植被、水流动力学和沉积过程之间动态相互作用的理解。
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引用次数: 0
Corrigendum to “Optical measurements of dissolved organic matter as proxies for CODMn and BOD5 in plateau lakes” [Environ. Sci. Ecotech. 19 (2024) 100326] 高原湖泊中作为 CODMn 和 BOD5 代用指标的溶解有机物光学测量结果》[Environ.
IF 12.6 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2024-05-08 DOI: 10.1016/j.ese.2024.100426
Xuan Yang , Yongqiang Zhou , Xiaoying Yang , Yunlin Zhang , Robert G.M. Spencer , Justin D. Brookes , Erik Jeppesen , Hucai Zhang , Qichao Zhou
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引用次数: 0
Polylactic acid micro/nanoplastic-induced hepatotoxicity: Investigating food and air sources via multi-omics 聚乳酸微/纳米塑料诱导的肝毒性:通过多组学调查食物和空气来源
IF 12.6 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2024-05-03 DOI: 10.1016/j.ese.2024.100428
Hua Zha , Shengyi Han , Ruiqi Tang , Dan Cao , Kevin Chang , Lanjuan Li

Micro/nanoplastics (MNPs) are detected in human liver, and pose significant risks to human health. Oral exposure to MNPs derived from non-biodegradable plastics can induce toxicity in mouse liver. Similarly, nasal exposure to non-biodegradable plastics can cause airway dysbiosis in mice. However, the hepatotoxicity induced by foodborne and airborne biodegradable MNPs remains poorly understood. Here we show the hepatotoxic effects of biodegradable polylactic acid (PLA) MNPs through multi-omics analysis of various biological samples from mice, including gut, fecal, nasal, lung, liver, and blood samples. Our results show that both foodborne and airborne PLA MNPs compromise liver function, disrupt serum antioxidant activity, and cause liver pathology. Specifically, foodborne MNPs lead to gut microbial dysbiosis, metabolic alterations in the gut and serum, and liver transcriptomic changes. Airborne MNPs affect nasal and lung microbiota, alter lung and serum metabolites, and disrupt liver transcriptomics. The gut Lachnospiraceae_NK4A136_group is a potential biomarker for foodborne PLA MNP exposure, while nasal unclassified_Muribaculaceae and lung Klebsiella are potential biomarkers for airborne PLA MNP exposure. The relevant results suggest that foodborne PLA MNPs could affect the “gut microbiota-gut-liver” axis and induce hepatoxicity, while airborne PLA MNPs could disrupt the “airway microbiota-lung-liver” axis and cause hepatoxicity. These findings have implications for diagnosing PLA MNPs-induced hepatotoxicity and managing biodegradable materials in the environment. Our current study could be a starting point for biodegradable MNPs-induced hepatotoxicity. More research is needed to verify and inhibit the pathways that are crucial to MNPs-induced hepatotoxicity.

人体肝脏中检测到微/纳米塑料(MNPs),对人体健康构成重大风险。口腔接触非生物降解塑料中的 MNPs 会导致小鼠肝脏中毒。同样,鼻腔接触不可降解塑料也会导致小鼠气道菌群失调。然而,人们对通过食物和空气传播的可生物降解的 MNPs 所诱发的肝毒性仍然知之甚少。在这里,我们通过对小鼠的各种生物样本(包括肠道、粪便、鼻腔、肺部、肝脏和血液样本)进行多组学分析,展示了可生物降解的聚乳酸(PLA)MNPs 的肝毒性效应。我们的研究结果表明,食物传播和空气传播的聚乳酸 MNP 都会损害肝功能、破坏血清抗氧化活性并导致肝脏病变。具体来说,食源性 MNP 会导致肠道微生物菌群失调、肠道和血清中的代谢改变以及肝脏转录组变化。空气传播的 MNP 会影响鼻腔和肺部微生物群,改变肺部和血清代谢物,破坏肝脏转录组学。肠道Lachnospiraceae_NK4A136_组是通过食物传播的聚乳酸MNP暴露的潜在生物标志物,而鼻腔未分类的Muribaculaceae和肺部克雷伯氏菌是通过空气传播的聚乳酸MNP暴露的潜在生物标志物。相关结果表明,食源性聚乳酸多糖可影响 "肠道微生物群-肠道-肝脏 "轴并诱发肝中毒,而气载聚乳酸多糖可破坏 "气道微生物群-肺-肝脏 "轴并导致肝中毒。这些发现对诊断聚乳酸 MNP 诱导的肝毒性和管理环境中的可生物降解材料具有重要意义。我们目前的研究可能是生物可降解 MNPs 诱导肝毒性的一个起点。还需要更多的研究来验证和抑制对 MNPs 诱导肝毒性至关重要的途径。
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引用次数: 0
Trends and drivers of anthropogenic NOx emissions in China since 2020 2020 年以来中国人为氮氧化物排放的趋势和驱动因素
IF 12.6 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2024-04-27 DOI: 10.1016/j.ese.2024.100425
Hui Li , Bo Zheng , Yu Lei , Didier Hauglustaine , Cuihong Chen , Xin Lin , Yi Zhang , Qiang Zhang , Kebin He

Nitrogen oxides (NOx), significant contributors to air pollution and climate change, form aerosols and ozone in the atmosphere. Accurate, timely, and transparent information on NOx emissions is essential for decision-making to mitigate both haze and ozone pollution. However, a comprehensive understanding of the trends and drivers behind anthropogenic NOx emissions from China—the world's largest emitter—has been lacking since 2020 due to delays in emissions reporting. Here we show a consistent decline in China's NOx emissions from 2020 to 2022, despite increased fossil fuel consumption, utilizing satellite observations as constraints for NOx emission estimates through atmospheric inversion. This reduction is corroborated by data from two independent spaceborne instruments: the TROPOspheric Monitoring Instrument (TROPOMI) and the Ozone Monitoring Instrument (OMI). Notably, a reduction in transport emissions, largely due to the COVID-19 lockdowns, slightly decreased China's NOx emissions in 2020. In subsequent years, 2021 and 2022, reductions in NOx emissions were driven by the industry and transport sectors, influenced by stringent air pollution controls. The satellite-based inversion system developed in this study represents a significant advancement in the real-time monitoring of regional air pollution emissions from space.

氮氧化物(NOx)是造成空气污染和气候变化的重要因素,会在大气中形成气溶胶和臭氧。准确、及时和透明的氮氧化物排放信息对于减轻雾霾和臭氧污染的决策至关重要。然而,由于排放报告的延迟,自 2020 年以来,人们一直缺乏对中国--世界上最大的氮氧化物排放国--人为氮氧化物排放趋势和驱动因素的全面了解。在此,我们利用卫星观测数据,通过大气反演作为氮氧化物排放量估算的约束条件,表明尽管化石燃料消耗量增加,但中国的氮氧化物排放量从 2020 年到 2022 年持续下降。两个独立的星载仪器:TROPOspheric Monitoring Instrument (TROPOMI) 和 Ozone Monitoring Instrument (OMI) 的数据证实了这一降幅。值得注意的是,主要由于 COVID-19 的锁定,运输排放的减少略微降低了 2020 年中国的氮氧化物排放量。在随后的 2021 年和 2022 年,受严格的空气污染控制影响,氮氧化物排放量的减少主要由工业和交通部门驱动。本研究中开发的卫星反演系统代表了从太空实时监测区域空气污染排放的重大进展。
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引用次数: 0
A critical review of microplastics in aquatic ecosystems: Degradation mechanisms and removing strategies 水生生态系统中的微塑料评述:降解机制和清除策略
IF 12.6 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2024-04-25 DOI: 10.1016/j.ese.2024.100427
Sameh S. Ali , Tamer Elsamahy , Rania Al-Tohamy , Jianzhong Sun

Plastic waste discarded into aquatic environments gradually degrades into smaller fragments, known as microplastics (MPs), which range in size from 0.05 to 5 mm. The ubiquity of MPs poses a significant threat to aquatic ecosystems and, by extension, human health, as these particles are ingested by various marine organisms including zooplankton, crustaceans, and fish, eventually entering the human food chain. This contamination threatens the entire ecological balance, encompassing food safety and the health of aquatic systems. Consequently, developing effective MP removal technologies has emerged as a critical area of research. Here, we summarize the mechanisms and recently reported strategies for removing MPs from aquatic ecosystems. Strategies combining physical and chemical pretreatments with microbial degradation have shown promise in decomposing MPs. Microorganisms such as bacteria, fungi, algae, and specific enzymes are being leveraged in MP remediation efforts. Recent advancements have focused on innovative methods such as membrane bioreactors, synthetic biology, organosilane-based techniques, biofilm-mediated remediation, and nanomaterial-enabled strategies, with nano-enabled technologies demonstrating substantial potential to enhance MP removal efficiency. This review aims to stimulate further innovation in effective MP removal methods, promoting environmental and social well-being.

被丢弃到水生环境中的塑料垃圾会逐渐降解成更小的碎片,即所谓的微塑料(MPs),其大小从 0.05 毫米到 5 毫米不等。微塑料无处不在,对水生生态系统乃至人类健康构成重大威胁,因为这些微粒会被包括浮游动物、甲壳类动物和鱼类在内的各种海洋生物摄入,最终进入人类食物链。这种污染威胁着整个生态平衡,包括食品安全和水生系统的健康。因此,开发有效的 MP 清除技术已成为一个重要的研究领域。在此,我们总结了去除水生生态系统中 MPs 的机制和最新报道的策略。物理和化学预处理与微生物降解相结合的策略在分解 MPs 方面已显示出前景。细菌、真菌、藻类和特定酶等微生物正被用于 MP 的修复工作中。最近的进展主要集中在创新方法上,如膜生物反应器、合成生物学、有机硅技术、生物膜介导的修复以及纳米材料赋能策略,其中纳米赋能技术在提高 MP 清除效率方面表现出巨大的潜力。本综述旨在推动有效去除 MP 方法的进一步创新,促进环境和社会福祉。
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引用次数: 0
Lactate-mediated medium-chain fatty acid production from expired dairy and beverage waste 利用过期乳制品和饮料废料生产乳酸介导的中链脂肪酸
IF 12.6 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2024-04-23 DOI: 10.1016/j.ese.2024.100424
Bin Bian , Wenxiang Zhang , Najiaowa Yu , Wei Yang , Jiajie Xu , Bruce E. Logan , Pascal E. Saikaly

Fruits, vegetables, and dairy products are typically the primary sources of household food waste. Currently, anaerobic digestion is the most used bioprocess for the treatment of food waste with concomitant generation of biogas. However, to achieve a circular carbon economy, the organics in food waste should be converted to new chemicals with higher value than energy. Here we demonstrate the feasibility of medium-chain carboxylic acid (MCCA) production from expired dairy and beverage waste via a chain elongation platform mediated by lactate. In a two-stage fermentation process, the first stage with optimized operational conditions, including varying temperatures and organic loading rates, transformed expired dairy and beverage waste into lactate at a concentration higher than 900 mM C at 43 °C. This lactate was then used to produce >500 mM C caproate and >300 mM C butyrate via microbial chain elongation. Predominantly, lactate-producing microbes such as Lactobacillus and Lacticaseibacillus were regulated by temperature and could be highly enriched under mesophilic conditions in the first-stage reactor. In the second-stage chain elongation reactor, the dominating microbes were primarily from the genera Megasphaera and Caproiciproducens, shaped by varying feed and inoculum sources. Co-occurrence network analysis revealed positive correlations among species from the genera Caproiciproducens, Ruminococcus, and CAG-352, as well as Megasphaera, Bacteroides, and Solobacterium, indicating strong microbial interactions that enhance caproate production. These findings suggest that producing MCCAs from expired dairy and beverage waste via lactate-mediated chain elongation is a viable method for sustainable waste management and could serve as a chemical production platform in the context of building a circular bioeconomy.

水果、蔬菜和奶制品通常是家庭厨余的主要来源。目前,厌氧消化是处理厨余垃圾并同时产生沼气的最常用生物工艺。然而,为了实现循环碳经济,应该将厨余垃圾中的有机物转化为比能源价值更高的新化学品。在这里,我们展示了通过乳酸盐介导的链延伸平台从过期乳制品和饮料废弃物中生产中链羧酸(MCCA)的可行性。在一个两阶段的发酵过程中,第一阶段采用优化的操作条件(包括不同的温度和有机物负载率),在 43 °C 的条件下将过期乳制品和饮料废料转化为浓度高于 900 mM C 的乳酸。然后,这种乳酸盐通过微生物的链延伸作用被用于生产 500 mM C 的己酸盐和 300 mM C 的丁酸盐。在第一阶段的反应器中,主要是乳酸菌和乳酸酶杆菌等产生乳酸的微生物受温度调节,并可在中嗜酸条件下高度富集。在第二阶段的链延伸反应器中,主要微生物主要来自于 Megasphaera 和 Caproiciproducens 属,并受不同饲料和接种源的影响。共生网络分析显示,Caproiciproducens 属、Ruminococcus 属、CAG-352 属以及 Megasphaera 属、Bacteroides 属和 Solobacterium 属的物种之间存在正相关关系,这表明微生物之间存在很强的相互作用,从而提高了己酸酯的产量。这些研究结果表明,通过乳酸介导的链延伸从过期乳制品和饮料废弃物中生产己二酸二甲酯是一种可持续废物管理的可行方法,并可在建立循环生物经济的背景下作为一种化学品生产平台。
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Environmental Science and Ecotechnology
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