Environmental Research最新文献_第7页

Microplastics reduce eelgrass tolerance to heat stress with implications for restoration and blue carbon 微塑料降低了大叶藻对热应力的耐受性，影响了恢复和蓝碳。

IF 7.7 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Research

Pub Date : 2026-03-15 Epub Date: 2026-02-05 DOI: 10.1016/j.envres.2026.123980

Luis G. Egea , Rocío Jiménez-Ramos , Lucía Rodríguez-Arias , Eduardo Infantes

Seagrass beds are key blue-carbon ecosystems, yet their resilience is increasingly challenged by microplastic (MP) pollution and marine heatwaves (MHWs). We experimentally tested how these stressors, alone and combined, affect the seagrass Zostera marina (eelgrass) using a controlled mesocosm experiment grounded in multiple-stressor and trait-based ecological theory. Plants were grown for 43 days in sediments with or without polyethylene/polypropylene MPs and a simulated MHW, (+5 °C for 15 days) was imposed in the final phase. MP exposure significantly reduced rhizome elongation (−35%), total root length (−65%), and below-ground biomass, and depleted non-structural carbohydrates (NSC) in leaves and rhizomes (−35% to −40%). Warming alone stimulated leaf growth but further reduced NSC, while the MP × MHW interaction produced the lowest below-ground growth and carbohydrate reserves, consistent with synergistic stress predicted by multiple-stressor theory. MP exposure also reshaped the microbiome enriching putative sulfur-cycling taxa in the rhizosphere and indicating more reducing sediment conditions. With a carbon-balance and holobiont framework, MPs appear to constrain resource supply (oxygen and nutrients) and increase maintenance costs, whereas warming amplifies metabolic demand. The resulting carbon deficit limits below-ground growth, traits that underpin restoration success and blue-carbon function. These findings show the importance of incorporating microplastic monitoring into seagrass management to anticipate cumulative stress under a warming ocean.

海草床是关键的蓝碳生态系统，但它们的恢复能力正日益受到微塑料污染和海洋热浪的挑战。本研究采用基于多压力源和性状生态学理论的受控中观实验，通过实验测试了这些压力源单独和联合对海草Zostera marina（大叶藻）的影响。植物在有或没有聚乙烯/聚丙烯MPs的沉积物中生长43天，在最后阶段施加模拟MHW（+5°C， 15天）。MP暴露显著降低了根茎伸长（-35%）、根总长度（-65%）和地下生物量，并减少了叶片和根茎中的非结构性碳水化合物（NSC）（-35%至-40%）。增温刺激了叶片生长，但进一步降低了NSC，而MP × MHW的交互作用产生了最低的地下生长和碳水化合物储备，这与多胁迫源理论预测的协同胁迫一致。MP暴露还重塑了微生物组，丰富了根际假定的硫循环分类群，并表明更多的减少沉积物条件。在碳平衡和全生物框架下，MPs似乎限制了资源供应（氧气和营养物质）并增加了维护成本，而变暖则放大了代谢需求。由此产生的碳赤字限制了地下生长，而地下生长是恢复成功和蓝碳功能的基础。这些发现表明，将微塑料监测纳入海草管理的重要性，以预测海洋变暖下的累积压力。

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引用次数: 0

Earthworm-assisted remediation of aged benzo[a]pyrene-contaminated soil and its impact on microbial community structure 蚯蚓辅助修复老化苯并芘污染土壤及其对微生物群落结构的影响。

IF 7.7 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Research

Pub Date : 2026-03-15 Epub Date: 2026-01-28 DOI: 10.1016/j.envres.2026.123904

Wanyu Xu , Xinhua Gao , Shiyin Huang , Yue Xie , Babar Farid , Wen Qiu , Yage Guo , Bingjie Xu , Zhengqi Zhang , Xiang Wang , Lina Sun

Benzo[a]pyrene (BaP) is a persistent organic pollutant (POP) that deposits in the soil through industrial and related anthropogenic inputs, and it resists to degrade naturally. Like most POPs, BaP binds strongly to organic matter thus affecting microbial removal owing to its limited bioavailability. This study evaluates BaP removal from soil inoculated with Pheretima guillelmi under freshly spiked and aged contaminated conditions while assessing its impact on soil chemistry, enzyme activities, and microbial community structure. Results revealed that BaP removal rates were 36.96 % and 39.47 % in fresh and aged contaminated soils, respectively, after 60 days of incubation in the presence of earthworms. The residual concentration of BaP as well as its bioaccumulation factor found in earthworm tissue drastically reduced under aged treatments thus revealing reduced or limited bioavailability. The electrical conductivity, ammonium nitrogen (NH₄⁺-N) and nitrate nitrogen (NO₃⁻-N), available potassium content; catalase and dehydrogenase activities increased due to earthworm burrowing, feeding, and casting activities whereas urease and protease were unaffected under aged conditions. 16S rRNA gene sequencing analysis indicated an increase in bacterial α-diversity accompanied by the enrichment of putative BaP-degrading genera Flavobacterium, Sphingomonas, Aeromonas, Mesobacillus, and Microvirga. Results of functional prediction and co-occurrence network analyses demonstrated that BaP perturbed microbial associations, however earthworm containing treatments maintained higher bacterial association as well as functional resilience. These results validate that P. guillelmi enhances remediation potential in aged BaP-contaminated soils through adjustment of nutrient balance in the soil, stimulation of pollutant-degrading taxa, and strengthening microbial interactions.

苯并[a]芘（BaP）是一种持久性有机污染物（POP），通过工业和相关的人为输入沉积在土壤中，并且它难以自然降解。与大多数持久性有机污染物一样，BaP由于其有限的生物利用度而与有机物紧密结合，从而影响微生物的去除。本研究评估了在新鲜和陈化污染条件下，接种吉乐梅对土壤中BaP的去除效果，并评估了其对土壤化学、酶活性和微生物群落结构的影响。结果表明，在蚯蚓存在的条件下，新鲜土壤和陈年土壤的BaP去除率分别为36.96%和39.47%。在老化处理下，蚯蚓组织中BaP残留浓度及其生物蓄积因子显著降低，表明生物利用度降低或有限。电导率、铵态氮（NH4+-N）、硝态氮（NO3——N）、速效钾含量；过氧化氢酶和脱氢酶活性因蚯蚓的挖洞、取食和浇注活动而增加，而脲酶和蛋白酶在老化条件下不受影响。16S rRNA基因测序分析表明，细菌α-多样性增加，同时可能降解bap的黄杆菌属、Sphingomonas、气单胞菌属、Mesobacillus和Microvirga的富集。功能预测和共发生网络分析结果表明，BaP干扰了微生物关联，但含蚯蚓处理保持了较高的细菌关联和功能恢复力。这些结果验证了吉列尔密草通过调节土壤养分平衡、刺激污染物降解类群和加强微生物相互作用，增强了陈年bap污染土壤的修复潜力。

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引用次数: 0

Characterization of Neomegalonema-dominated granulation in aerobic granules bioreactor: Evidence for stable filamentous granulation and quorum sensing-related activities 好氧颗粒生物反应器中以新欧米伽烯为主的颗粒的表征：稳定的丝状颗粒和群体感应相关活动的证据。

IF 7.7 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Research

Pub Date : 2026-03-15 Epub Date: 2026-01-07 DOI: 10.1016/j.envres.2026.123722

Lili Sun , Hanquan Wen , Lu Ding , Chao Qin , Mingxi Chen , Shike She , Xinchao Zhu , Jian Wang , Zengyang He , Yaping Zhang , Zhiqiang Xu , Quan Shu , Haiyang Wang , Shaolin Ge , Yusheng Li

The Acyl-homoserine-lactones (AHLs) mediated quorum sensing (QS) and quenching (QQ), and filamentous microorganisms are essential intrinsic factors to the performance and stability of aerobic granules technology. Despite the extensive studies on these factors and the significant progress has been made, many questions regarding their specific roles and interactions with filamentous bacteria in the granulation process remain to be answered. This study tracked a filamentous granulation, comparing the features of filamentous granules with those of aerobic granules, focusing on AHLs-related activities and microbial communities. The filamentous genus Neomegalonema thrived in the granulation, resulting in filamentous granules that achieved high COD and ammonium removal efficiencies with non-bulking properties. Though both the QS and QQ communities presented in all tested microbial aggregates, only aerobic granules showed high AHLs producing activity. Notably, Neomegalonema-rich biomass without QS but with QQ activity achieved rapid granulation, indicating that structural enhancement by filaments, rather than AHLs-mediated QS, was the main driver of granulation. Further bioinformatic investigation suggested the participation of Neomegalonema in QS as AHLs perceiver and quencher, which might render it additional competitive advantage over QS communities, including some filamentous microorganisms. The results highlighted that the outcomes of filamentous proliferation would vary depending on the species and operation features, with Neomegalonema demonstrating unique contributions to non-bulking granulation. The findings would broaden the understanding of QS and provide new strategy for developing aerobic granules technology.

酰基高丝氨酸内酯（AHLs）介导的群体感应（QS）和猝灭（QQ）以及丝状微生物是影响好氧颗粒工艺性能和稳定性的重要因素。尽管对这些因素进行了广泛的研究并取得了重大进展，但关于它们在造粒过程中的具体作用及其与丝状细菌的相互作用仍有许多问题有待解答。本研究跟踪了一种丝状颗粒，比较了丝状颗粒与好氧颗粒的特征，重点研究了ahls相关活性和微生物群落。丝状属Neomegalonema在造粒过程中茁壮成长，产生的丝状颗粒具有高COD和铵的去除效率，并且具有非膨化特性。虽然QS和QQ群落都存在于所有的微生物群落中，但只有好氧颗粒具有较高的ahl生成活性。值得注意的是，不含QS但含有QQ活性的富neomegalonema生物量实现了快速造粒，这表明细丝的结构增强，而不是ahls介导的QS，是造粒的主要驱动力。进一步的生物信息学研究表明Neomegalonema作为AHLs的感知者和猝灭者参与QS，这可能使其比QS群落（包括一些丝状微生物）具有额外的竞争优势。结果强调，丝状增生的结果将根据物种和操作特征而变化，Neomegalonema对非膨胀性肉芽肿有独特的贡献。这一发现将拓宽对QS的认识，并为好氧颗粒技术的发展提供新的策略。

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引用次数: 0

Unraveling the response mechanism of soil dissolved organic matter to petroleum hydrocarbon contamination: Insights from a wood preservation site study 揭示土壤溶解有机质对石油烃污染的响应机制：来自木材保存现场研究的见解。

IF 7.7 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Research

Pub Date : 2026-03-15 Epub Date: 2026-01-09 DOI: 10.1016/j.envres.2026.123744

Changjian Zou , Yunde Liu , Liwen Huang , Ling Zheng , Aiguo Zhou , Jing Hua , Yuxiao Jiang , Yuanzheng Zhang

Petroleum hydrocarbons in soil can alter the optical properties of dissolved organic matter (DOM) directly via physical mixing and indirectly by modifying microbial community structure and metabolism, thereby affecting DOM transformation and composition. However, the specific responses and underlying mechanisms of soil DOM to petroleum hydrocarbon contamination remain unclear. In this study, a wood preservation site in southern China contaminated with long-chain hydrocarbons (C₁₀-C₄₀) was selected as the study area. The soil DOM was analyzed by fluorescence excitation emission matrix (EEM)-parallel factor analysis (PARAFAC), with the tryptophan-like component (C1), petroleum-derived DOM component (C2), and humic-like component (C3) as the main fluorescence components. Results of 16S rRNA suggested that C₁₀-C₄₀ contamination led to a decrease in the microbial community's diversity and a notable rise in the abundance of potential hydrocarbon-degrading microorganisms (Pseudomonas and Sphingomonas genera). Spearman's correlation demonstrated that C₁₀-C₄₀ contamination significantly enhanced the fluorescence intensity of soil DOM. According to the partial least squares structural equation model, soil C₁₀-C₄₀ pollution increased the percentage of C1 (%Fmax-C1) and C2 (%Fmax-C2) but decreased the humification degree through direct mixing. Meanwhile, petroleum hydrocarbon contamination indirectly increased the %Fmax-C2 and reduced the humification degree of DOM by stimulating the metabolism of hydrocarbon-degrading microorganisms. Moreover, the (%Fmax-C2)/(%Fmax-C1) ratio demonstrated a significant positive correlation with the abundance of hydrocarbon-degrading bacteria, whereas no significant correlation was observed with C₁₀-C₄₀ concentration. These results indicated that %Fmax-C1 and (%Fmax-C2)/(%Fmax-C1) ratio could be used as potential indicators for the rapid screening of petroleum hydrocarbon pollution and its natural attenuation, respectively.

土壤中的石油烃可以通过物理混合直接改变溶解有机物（DOM）的光学性质，也可以通过改变微生物群落结构和代谢间接改变溶解有机物（DOM）的光学性质，从而影响DOM的转化和组成。然而，土壤DOM对石油烃污染的具体响应及其机制尚不清楚。本研究选择中国南方一处长链烃（C10-C40）污染的木材保存遗址作为研究区域。采用荧光激发发射矩阵(EEM)-平行因子分析法（PARAFAC）对土壤DOM进行分析，其中色氨酸样成分（C1）、石油衍生DOM成分（C2）和腐殖质样成分（C3）为主要荧光成分。16S rRNA结果表明，C10-C40污染导致微生物群落多样性下降，潜在烃类降解微生物（假单胞菌属和鞘氨单胞菌属）丰度显著增加。Spearman相关性表明，C10-C40污染显著增强了土壤DOM的荧光强度。根据偏最小二乘结构方程模型，C10-C40污染增加了土壤C1 （%Fmax-C1）和C2 （%Fmax-C2）的比例，但降低了土壤腐殖质化程度。同时，石油烃污染通过刺激烃类降解微生物的代谢，间接提高了DOM的%Fmax-C2，降低了DOM的腐殖化程度。此外，(%Fmax-C2)/(%Fmax-C1)比值与烃类降解菌丰度呈显著正相关，而与C10-C40浓度无显著相关。结果表明，%Fmax-C1和(%Fmax-C2)/(%Fmax-C1)比值分别可作为快速筛选油气污染及其自然衰减的潜在指标。

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引用次数: 0

Retraction notice to ‘Antimicrobial, antioxidant, anticancer, and antithrombotic, competency of saponins from the root of Decalepis hamiltonii’ [Environ. Res. 231 (2023) 116096] 撤销对“黄芪根皂苷的抗菌、抗氧化、抗癌和抗血栓作用”的通知[环境]。Res. 231 (2023) 116096]

IF 7.7 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Research

Pub Date : 2026-03-15 Epub Date: 2026-01-14 DOI: 10.1016/j.envres.2026.123717

Jayaraman Gitanjali , Duraisamy Sumathi Dinesh Ram , Kavitha R , Venkatesan Amalan , Tahani Awad Alahmadi , Sulaiman Ali Alharbi , Sabariswaran Kandasamy , Rajasree Shanmuganthan , Natesan Vijayakumar

引用次数: 0

Predicting heavy metal distribution coefficient in global soil via machine learning: The effect of mineral heterogeneity 通过机器学习预测全球土壤重金属分布系数：矿物异质性的影响。

IF 7.7 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Research

Pub Date : 2026-03-15 Epub Date: 2026-02-06 DOI: 10.1016/j.envres.2026.123957

Wenping Zuo , Huangling Gu , Qinpeng Liao , Jin Chao , Chongchong Qi , Junqin Liu , Yuancai Lv , Chen Tian , Zhang Lin

Heavy metal adsorption by soil particles significantly influences its pollution risk in global soil. However, the global distribution of soil adsorption ability is still lacking due to the difficulty of obtaining large-scale adsorption data. Here, we proposed a novel method to evaluate the adsorption ability in a global scale through predicting the distribution coefficient (K_d) of HMs in soil via machine learning and big data. Based on the data selected, which included soil properties, adsorption properties, and mineral contents, the Random Forest (RF) achieved prediction accuracies of 0.91, 0.85, 0.90, and 0.87 for K_d values of As, Cd, Cr, and Pb, respectively. The main factor influencing K_d values was found to be the mineral contents. The corresponding contents of Fe_oxide, chlorite, and kaolinite exhibited significant positive correlations with As, Cd, and Cr, respectively. The pollution risk areas were further delineated based on the U.S. EPA metrics of K_d. It is noteworthy that the environmental risk areas of farmland on each continent exceed 20%, with Asia had 72%, 64% and 58% of the risk areas for As, Cd and Cr, which are obviously larger than those on other continents. Moreover, the distributions of these high - risk areas were consistent with those of the corresponding minerals below or close to the global mean contents. The approach proposed in this study enables the prediction of K_d values and pollution risk assessment of soils globally, revealing the impact of mineral heterogeneity on K_d values. These results are valuable for evaluating environmental risks and formulating soil remediation strategies.

土壤颗粒对重金属的吸附对全球土壤污染风险有显著影响。然而，由于难以获得大规模的吸附数据，土壤吸附能力的全球分布仍然缺乏。在此，我们提出了一种利用机器学习和大数据预测土壤中HMs分布系数（Kd）来评估全球范围内吸附能力的新方法。随机森林（Random Forest， RF）对As、Cd、Cr和Pb的Kd值的预测精度分别为0.91、0.85、0.90和0.87。发现影响Kd值的主要因素是矿物含量。相应的Fe_oxide、绿泥石和高岭石含量分别与As、Cd和Cr呈显著正相关。根据美国环保署的Kd指标，进一步划定了污染风险区域。值得注意的是，各大洲农田环境风险区均超过20%，其中亚洲的As、Cd和Cr风险区占比分别为72%、64%和58%，明显大于其他大洲。此外，这些高风险区的分布与相应矿物的分布一致，低于或接近全球平均含量。本研究提出的方法能够预测全球土壤的Kd值和污染风险评估，揭示矿物异质性对Kd值的影响。这些结果对评价环境风险和制定土壤修复策略具有一定的参考价值。

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引用次数: 0

Heavy metal and Microplastic exposure from sports protein Supplements: Integrated health risk modeling and scenario analysis 运动蛋白质补充剂中的重金属和微塑料暴露：综合健康风险建模和情景分析。

IF 7.7 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Research

Pub Date : 2026-03-15 Epub Date: 2026-02-06 DOI: 10.1016/j.envres.2026.123988

MeiTong Chen , Ruiqing Dong , WenZhou Lai

This study presents an integrated co-exposure assessment of toxic metals and microplastics in 30 commercially available sports protein supplements in China by combining targeted analytical measurements with scenario-based and probabilistic health-risk modeling. Arsenic (As), cadmium (Cd), lead (Pb), and mercury (Hg) were quantified via closed-vessel microwave digestion and inductively coupled plasma mass spectrometry (ICP-MS), validated through duplicate analyses and reference materials. While all samples contained at least one target metal, plant-derived products exhibited higher mean Pb (0.18 mg/kg) and Cd (0.05 mg/kg) levels compared to dairy-derived products (0.06 and 0.01 mg/kg, respectively; P < 0.01). Notably, a brown rice and cocoa-flavored product emerged as an outlier (Pb 0.60 mg/kg; Cd 0.15 mg/kg; As 0.30 mg/kg), whereas Hg concentrations were predominantly <0.01 mg/kg, except for one collagen sample (0.02 mg/kg). Microplastic particles were isolated via peroxide–alkali digestion and identified by micro-Fourier transform infrared (μFTIR) and micro-Raman spectroscopy (μRaman). Microplastics were detected in all samples, ranging from 2 to 19 particles per 30 g serving (mean 8 ± 5); these were predominantly comprised of fibers (40–50%) and fragments (∼30%), with typical sizes of 100–500 μm and polymers including polyethylene, polypropylene, and polyethylene terephthalate. ∗∗ regarding exposure risks∗∗, deterministic modeling yielded a hazard index (HI) of 0.45 for 30 g/day and 0.90 for 90 g/day (driven primarily by As and Cd), while Monte Carlo simulation (10,000 iterations) indicated a 95th-percentile HI of 1.28 under high-use conditions; predicted blood Pb increments remained <3 μg/dL. Collectively, these results offer a quantitative basis for prioritizing contaminant control in high-consumption scenarios and for informing athletes, manufacturers, and regulators about combined contaminant burdens. These findings align with emerging evidence of ubiquitous microplastic presence in protein products and underscore the necessity for consumption-scenario-based risk evaluation regarding heavy metals.

本研究通过结合针对性分析测量和基于场景和概率的健康风险模型，对中国30种市售运动蛋白补充剂中有毒金属和微塑料的综合共暴露评估。砷（As）、镉（Cd）、铅（Pb）和汞（Hg）通过密闭容器微波消解和电感耦合等离子体质谱（ICP-MS）进行定量，并通过重复分析和参考物质进行验证。虽然所有样品至少含有一种目标金属，但植物衍生产品的平均Pb （0.18 mg/kg）和Cd （0.05 mg/kg）水平高于乳制品衍生产品（分别为0.06和0.01 mg/kg, P < 0.01）。值得注意的是，糙米和可可口味的产品是一个异常值（铅0.60 mg/kg；镉0.15 mg/kg；砷0.30 mg/kg），而汞浓度占主导地位

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引用次数: 0

Mechanisms and optimization Strategies for surfactant-mediated enhancement of enzymatic hydrolysis of Poly(ethylene terephthalate) 表面活性剂促进聚对苯二甲酸乙酯酶解的机理及优化策略。

IF 7.7 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Research

Pub Date : 2026-03-15 Epub Date: 2026-02-07 DOI: 10.1016/j.envres.2026.123883

Jundan Feng , Yujie Wang , Yuzheng Lu , Cavaco-paulo Artur , Jiajia Fu

Polyethylene terephthalate (PET) pollution has become a worldwide environmental challenge, and enzymatic hydrolysis represents a green and sustainable strategy to address this contamination. To enhance enzymatic PET hydrolysis, this study systematically compared the effects of five common surfactants—sodium dodecyl sulfate (SDS), cetyltrimethylammonium bromide (CTAB), di-rhamnolipid (DRL), lauryl betaine (LAB), and polyethylene glycol (PEG300)—on Humicola insolens cutinase (HiC)-catalyzed PET hydrolysis with two different crystallinities. Integrated experimental and computational approaches elucidated the intrinsic mechanism of surfactant-regulated enzymatic PET hydrolysis. Enzymatic hydrolysis results showed that SDS and CTAB inhibit PET hydrolysis, while DRL and LAB slightly enhance it. Notably, 4% (w/v) PEG300 significantly increased the degradation rates of low-crystallinity PET and high-crystallinity PET by 60.23% and 59.28%, respectively, compared with HiC alone. Subsequent studies on surface wettability, enzyme stability, and molecular simulations demonstrated that PEG enhanced enzymatic hydrolysis by regulating the hydrophilicity at the PET interface and the activity and stability of HiC. This study proposes a universal and highly efficient interfacial regulation strategy, laying the foundation for developing enzyme protectants and advancing green and sustainable PET hydrolysis.

聚对苯二甲酸乙二醇酯（PET）污染已成为全球性的环境挑战，酶解是解决这一污染的绿色和可持续的策略。为了促进酶促PET水解，本研究系统地比较了五种常见的表面活性剂——十二烷基硫酸钠（SDS）、十六烷基三甲基溴化铵（CTAB）、二鼠李糖脂（DRL）、十二烷基甜菜碱（LAB）和聚乙二醇（PEG300）对Humicola inens角质酶（HiC）催化的两种不同结晶度的PET水解的影响。综合实验和计算方法阐明了表面活性剂调控的酶促PET水解的内在机制。酶解结果表明，SDS和CTAB对PET的水解有抑制作用，而DRL和LAB对PET的水解有轻微的促进作用。值得注意的是，4% (w/v) PEG300对低结晶度PET和高结晶度PET的降解率比单独添加HiC时分别提高了60.23%和59.28%。随后对表面润湿性、酶稳定性和分子模拟的研究表明，PEG通过调节PET界面的亲水性和HiC的活性和稳定性来增强酶水解。本研究提出了一种通用、高效的界面调控策略，为开发酶保护剂和推进PET绿色可持续水解奠定基础。

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引用次数: 0

Beyond environmental exposure: Food source contribution as a critical regulator of metal bioaccumulation in mangrove gastropods 超越环境暴露：食物来源对红树林腹足类动物金属生物积累的重要调节作用。

IF 7.7 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Research

Pub Date : 2026-03-15 Epub Date: 2026-01-15 DOI: 10.1016/j.envres.2026.123788

Hanyi Li , Mingyu Guo , Jiajia Wu , Qian Huang , Shengjie Wu , Haoliang Lu , Jingchun Liu , Chonglin Yan , Hao Wu , Xiaoyu Zhao , Hualong Hong

Potentially toxic metals (PTMs) pose serious ecological threats through bioaccumulation in aquatic food webs, yet the influence of dietary pathways remains insufficiently understood. This study examined how food source contributions regulate PTM bioaccumulation in mangrove gastropods across different seasons and species. PTM concentrations were measured in sediments and four gastropod species (Cerithidea rhizophorarum, Littoraria ardouiniana, Neritina violacea, and Bullacta exarata) collected from the Zhangjiang Estuary, China. Food sources were identified using dual stable isotope analysis (δ¹³C and δ¹⁵N) combined with a Bayesian mixing model (SIAR). Three dominant food sources, i.e., aquaculture phytoplankton (aquaPhyOM), mangrove suspended particulate organic matter (mangroveSPOM), and mudflat benthic microalgae (naturalBMA), were found to drive metal bioaccumulation in gastropod tissues. Their dietary contributions varied across seasons and species. C. rhizophorarum shifted from consuming 69.2 % naturalBMA in summer to 58.6 % mangroveSPOM and 34.6 % aquaPhyOM in winter. B. exarata mainly consumed aquaPhyOM (65.2 %), while N. violacea relied mainly on naturalBMA (59.9 %) during winter. L. ardouiniana exhibited nearly equal contributions from the three food sources (aquaPhyOM: mangroveSPOM: naturalBMA = 27.2 %: 31.5 %: 41.3 %). Notably, food sources interacted with environmental factors to influence metal bioaccumulation. Specifically, ingestion of SPOM may fundamentally change the dominant pathway of Cr uptake in C. rhizophorarum, whereas Mn biodilution intensified with increasing naturalBMA consumption and soft-tissue biomass. These findings redefine patterns of metal bioconcentration, highlighting that trophic pathways play a critical role in PTM transfer rather than passive environmental exposure alone. Future research should quantify metal fluxes across trophic interfaces to better predict ecosystem-level impacts.

潜在有毒金属（PTMs）通过在水生食物网中的生物积累构成严重的生态威胁，但饮食途径的影响仍未得到充分了解。本研究考察了不同季节和物种的食物来源如何调节红树林腹足类动物中PTM的生物积累。测定了张江口沉积物和4种腹足类动物（Cerithidea rhizophorarum, Littoraria ardouiniana, Neritina violacea, Bullacta exarata）的PTM浓度。利用双稳定同位素分析（δ13C和δ15N）结合贝叶斯混合模型（SIAR）确定了食物来源。三种主要的食物来源，即水产养殖浮游植物（aquaPhyOM），红树林悬浮颗粒有机物（mangroveSPOM）和泥滩底栖微藻（naturalalbma），被发现驱动金属在腹足动物组织中的生物积累。它们对食物的贡献因季节和物种而异。在夏季，根孢枯菌消耗天然alma的比例为69.2%，而在冬季则分别为58.6%和34.6%。在冬季，白桫椤主要以aquaPhyOM为食（65.2%），紫桫椤主要以天然alma为食（59.9%）。三种食物来源对石蛙的贡献几乎相等（aquaPhyOM：红树林，pom：天然albma = 27.2%: 31.5%: 41.3%）。值得注意的是，食物来源与环境因素相互作用，影响金属的生物积累。具体来说，摄入SPOM可能会从根本上改变根孢霉吸收Cr的主要途径，而Mn的生物稀释随着天然albma消耗和软组织生物量的增加而加剧。这些发现重新定义了金属生物浓度的模式，强调了营养途径在PTM转移中起关键作用，而不仅仅是被动的环境暴露。未来的研究应量化金属在营养界面上的通量，以更好地预测生态系统水平的影响。

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引用次数: 0

From conventional monitoring to intelligent prediction: data-driven analysis of inorganic elements in atmospheric wet deposition at an urban site in Lanzhou 从常规监测到智能预测：兰州某城市站点大气湿沉降无机元素数据驱动分析。

IF 7.7 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Research

Pub Date : 2026-03-15 Epub Date: 2026-01-31 DOI: 10.1016/j.envres.2026.123893

Chongbin Li, Liang He, Wen Huang, Shengli Wang

Atmospheric wet deposition represents a key pathway linking atmospheric pollution to terrestrial ecosystems, with its chemical composition and deposition flux serving as important indicators of regional environmental quality. However, conventional monitoring approaches are labor-intensive and time-consuming, limiting their ability to support timely environmental assessment. In this study, systematic precipitation monitoring was conducted at an urban site in Lanzhou from 2018 to 2024. Based on analyses of concentration levels, deposition fluxes, reuse potential, and source contributions of 20 inorganic elements, machine learning techniques were further introduced to improve concentration prediction and monitoring efficiency. The results indicate that inorganic element deposition fluxes in Lanzhou generally fall within the typical range observed for Asian cities, while crustal-derived elements (e.g., Ca, K, and Mg) exhibit markedly elevated fluxes, reflecting a combined pattern of regional similarity and local characteristics. From a reuse perspective, precipitation shows potential for agricultural irrigation and emergency drinking water supply, although heavy metals such as Pb and Cd constitute the primary constraints on safe utilisation. Positive matrix factorization analysis revealed that the chemical composition of wet deposition is predominantly controlled by soil and construction dust, contributing approximately 68%, highlighting the combined influence of arid geographical conditions and urbanization. Furthermore, an XGBoost-based predictive model integrating conventional atmospheric pollutants and meteorological variables with newly introduced “source” and “transport” factors was developed. Incorporating information on key source regions and regional transport pathways substantially improved model performance, with the coefficient of determination (R²) increasing from 0.46 to 0.59. Overall, this modelling framework provides a promising approach for optimising wet deposition monitoring systems that rely primarily on manual sampling and laboratory analysis, and demonstrates the potential of machine learning for supporting more efficient and responsive environmental management.

大气湿沉降是连接大气污染与陆地生态系统的重要途径，其化学成分和沉降通量是区域环境质量的重要指标。然而，传统的监测方法既费力又费时，限制了它们支持及时环境评估的能力。本研究对兰州某城市站点进行了2018 - 2024年的系统降水监测。在分析20种无机元素的浓度水平、沉积通量、再利用潜力和来源贡献的基础上，进一步引入机器学习技术，提高浓度预测和监测效率。结果表明：兰州地区无机元素沉积通量总体上处于亚洲城市的典型范围内，而Ca、K、Mg等地壳源元素沉积通量明显升高，具有区域相似性和局部特征的综合格局。从再利用的角度来看，降水显示出农业灌溉和应急饮用水供应的潜力，尽管铅和镉等重金属是安全利用的主要制约因素。正矩阵分解分析表明，湿沉积的化学成分主要受土壤和建筑粉尘的控制，约占68%，突出了干旱地理条件和城市化的综合影响。在此基础上，建立了基于xgboost的综合传统大气污染物和气象变量以及新引入的“源”和“输运”因子的预测模型。纳入关键源区域和区域运输路径信息显著提高了模型性能，决定系数（R2）从0.46提高到0.59。总体而言，该建模框架为优化主要依赖人工采样和实验室分析的湿沉积监测系统提供了一种有前途的方法，并展示了机器学习在支持更有效和响应性的环境管理方面的潜力。

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