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Effects of sodium dodecyl sulfate (SDS) pollution on carbon and nitrogen cycling driven by microbes in the lake-terrestrial ecotone 十二烷基硫酸钠污染对湖陆交错带微生物驱动的碳氮循环的影响
IF 7.1 2区 环境科学与生态学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2025-12-30 DOI: 10.1016/j.eti.2025.104730
Qi Zhu , Lingquan Zeng , Ye Zheng , Zishu Ye , Chun Ye , Chunhua Li
In recent years, the concentration of sodium dodecyl sulfate (SDS), a surfactant widely used in daily life and industrial production, has significantly increased in domestic sewage and industrial wastewater. By altering microbial activity, SDS pollution exerts a non-negligible impact on the ability of lake-terrestrial ecotones to intercept and purify pollutants. This study provides novel insights by demonstrating the concentration-dependent effects of SDS on microbial-driven carbon and nitrogen cycling in lake-terrestrial ecotones, advancing beyond previous work through large-scale simulations that link functional gene dynamics to pollutant removal. Results indicated: (1) Rising SDS concentrations stimulated growth of some soil microorganisms in lake-terrestrial ecotones (e.g., Opitutaceae and Burkholderiales), while inhibiting SDS-sensitive microbes (e.g., Nitrospiraceae). (2) Functional genes exhibited differential responses to SDS concentration changes. Functional genes associated with carbon fixation, methane production, nitrogen fixation, and denitrification displayed heightened sensitivity to SDS concentration changes. (3) SDS addition significantly influenced nitrogen transformation processes, manifested as enhanced nitrification and denitrification functions. This drove a dynamic equilibrium between nitrification and denitrification, thereby enhancing the coupling between carbon and nitrogen cycles. (4) At an SDS concentration of 6 mg/L, microbial activity was inhibited, but microbial community structure remained relatively unchanged. When SDS concentration increased to 10 mg/L, the microbial community shifted toward a pollution-tolerant type. This provided a carbon source for microorganisms capable of degrading SDS, thereby enhancing nitrogen cycling processes in the lake-terrestrial ecotone.
近年来,十二烷基硫酸钠(SDS)是一种广泛应用于日常生活和工业生产的表面活性剂,其在生活污水和工业废水中的浓度显著增加。通过改变微生物活性,SDS污染对湖陆交错带拦截和净化污染物的能力产生不可忽视的影响。本研究通过展示SDS对湖泊-陆地过渡带微生物驱动的碳和氮循环的浓度依赖效应,提供了新的见解,通过将功能基因动力学与污染物去除联系起来的大规模模拟,超越了先前的工作。结果表明:(1)SDS浓度的升高促进了湖陆过渡带部分土壤微生物(如Opitutaceae和Burkholderiales)的生长,抑制了对SDS敏感的微生物(如Nitrospiraceae)的生长。(2)功能基因对SDS浓度变化的响应存在差异。与固碳、产甲烷、固氮和反硝化相关的功能基因对SDS浓度变化表现出高度的敏感性。(3) SDS的添加显著影响了氮转化过程,表现为增强了硝化和反硝化功能。这推动了硝化和反硝化之间的动态平衡,从而增强了碳和氮循环之间的耦合。(4) SDS浓度为6 mg/L时,微生物活性受到抑制,但微生物群落结构保持相对不变。当SDS浓度增加到10 mg/L时,微生物群落向耐污染型转变。这为能够降解SDS的微生物提供了碳源,从而促进了湖陆交带的氮循环过程。
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引用次数: 0
Bridging hydroponic and soil studies: Subcellular partitioning and soil factors govern the uptake and accumulation of fluindapyr in rice 桥接水培和土壤研究:亚细胞分配和土壤因素控制水稻对氟霉啶的吸收和积累
IF 7.1 2区 环境科学与生态学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2025-12-30 DOI: 10.1016/j.eti.2025.104738
Hantao Yu , Ruiling Tang , Yaoming Zhang , Ying Zhang , Jiaxue Li , Xiaoxiang Fu , Qinghong Zhou , Xugen Shi , Ruqiang Cui , Wenwen Peng , Duantao Cao
Fluindapyr, a recently developed succinate dehydrogenase inhibitor, exhibits promising efficacy against rice sheath blight, yet its mechanisms of uptake and distribution within rice plants remain unclear. To address this knowledge gap, we investigated the uptake, translocation, and accumulation of fluindapyr in rice using integrated hydroponic and soil cultivation experiments. Results showed that fluindapyr was rapidly absorbed by rice roots but exhibited limited upward translocation (translocation factor, TF < 0.8). After foliar application, minimal downward movement was observed (TF < 0.3), reflecting poor systemic mobility. Root uptake occurred primarily via the symplastic pathway through aquaporin-facilitated passive diffusion. Subcellular distribution analysis revealed predominant accumulation in cell walls (57.2 %–72.3 %) and organelles (15.5 %–24.6 %), with strong adsorption to lipophilic components restricting transmembrane transport. In the soil–rice system, soil organic matter content was the primary factor governing fluindapyr uptake, and the in situ pore water concentration (CIPW) proved to be a more reliable predictor of its accumulation in rice than the total soil concentration (Csoil). These findings elucidate the mechanisms governing fluindapyr behavior in rice and provide a theoretical basis for its rational application and environmental risk assessment.
氟茚达yr是新近开发的琥珀酸脱氢酶抑制剂,对水稻纹枯病具有良好的防治效果,但其在水稻植株中的吸收和分布机制尚不清楚。为了解决这一知识缺口,我们利用水培和土壤栽培综合试验研究了水稻对氟霉霉的吸收、转运和积累。结果表明,氟茚达韦被水稻根系快速吸收,但向上转运有限(转运因子,TF < 0.8)。叶面施用后,观察到最小的向下运动(TF < 0.3),反映了较差的系统流动性。根吸收主要通过水通道蛋白促进的被动扩散的共塑途径发生。亚细胞分布分析显示,主要积聚在细胞壁(57.2% % -72.3 %)和细胞器(15.5% % -24.6 %),对亲脂成分的强吸附限制了跨膜运输。在土壤-水稻系统中,土壤有机质含量是影响水稻吸收的主要因素,而原位孔隙水浓度(CIPW)比土壤总浓度(Csoil)更能可靠地预测水稻的水分积累。这些研究结果阐明了水稻流虫行为的调控机制,为其合理应用和环境风险评价提供了理论依据。
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引用次数: 0
From risk to weapon: Composting transforms phytopathogen-contaminated vegetable waste into a sanitized and disease-suppressive fertilizer 从风险到武器:堆肥将植物病原体污染的蔬菜废物转化为消毒和抑制疾病的肥料
IF 7.1 2区 环境科学与生态学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2025-12-29 DOI: 10.1016/j.eti.2025.104725
Y. Yang , J.Q. Liu , Y.X. Sun , Z. Xu , S.N. Dai , H. Sun , J. Zhang , L.R. Celi , X.H. Wu , Y.M. Li , R.X. Chang
The increase of vegetable cultivation areas and frequent plant diseases caused by continuous cropping have made the disposal of phytopathogen-contaminated vegetable waste a pressing problem that needs to be solved. The study carried out a composting experiment of Fusarium oxysporum - contaminated cucumber residues amended with sawdust, sugarcane bagasse, or Chinese herbal residues, in which pathogen concentration was 104CFU/g. Pathogen presence did not disrupt the core biodegradation dynamics of the composting process. After 18 days of composting, the pathogens were effectively removed across all treatments. Sugarcane bagasse emerged as the optimal amendment, as it delivered an 85.47 % Fusarium oxysporum f. sp. Cucumerinum (FOC) removal rate and superior maturity (germination index, GI >80 %). Integrated multi-modal analytics revealed that carbon amendments regulate FOC suppression (83.33–85.47 %) via bacillus-mediated pathways and ammonia emissions, while pH governs GI through organic acid conversion. All treatments developed disease-suppressive microbiomes enriched with Bacillus, Aspergillus, and Penicillium, and also showed reduced occurrence of soil borne diseases. Network analyses confirmed functional redundancy despite pathogen-induced taxonomic shifts. This work establishes a circular economy paradigm where composting transforms phytopathogen-contaminated vegetable waste into a sanitized and disease-suppressive fertilizer.
蔬菜种植面积的增加和连作引起的植物病害的频繁发生,使得植物病原菌污染的蔬菜废弃物的处理成为迫切需要解决的问题。以木屑、甘蔗渣、中草药残渣为基料,以104CFU/g的致病菌浓度对黄瓜尖孢镰刀菌污染的黄瓜残体进行堆肥试验。病原体的存在并没有破坏堆肥过程的核心生物降解动力学。堆肥18天后,所有处理都有效地去除了病原体。甘蔗渣对黄瓜尖孢镰刀菌(Fusarium oxysporum f. sp. Cucumerinum, FOC)的去除率为85.47 %,成熟度(萌发指数,GI >80 %)较优。综合多模态分析表明,碳修正通过杆菌介导的途径和氨排放调节FOC抑制(83.33-85.47 %),而pH通过有机酸转化调节GI。所有处理都产生了富含芽孢杆菌、曲霉和青霉的疾病抑制微生物群,并且还显示出土壤传播疾病的发生率降低。网络分析证实了功能冗余,尽管病原体引起的分类转移。这项工作建立了一个循环经济范式,其中堆肥将植物病原体污染的蔬菜废物转化为消毒和抑制疾病的肥料。
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引用次数: 0
Machine learning (ML) reveals the key factors influencing the removal of chlorinated hydrocarbons (CAHs) by nanoscale zero-valent iron (nZVI) 机器学习(ML)揭示了影响纳米级零价铁(nZVI)去除氯化烃(CAHs)的关键因素
IF 7.1 2区 环境科学与生态学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2025-12-27 DOI: 10.1016/j.eti.2025.104728
Yao Wang , Ruibing Fan , Guowei Shao , Feng Kang , Kuo Zhang , Jin Kang , Baorui Liang
Chlorinated hydrocarbons contaminate soil and groundwater and pose significant health and ecological risks. Nanoscale zero-valent iron is widely used for in situ remediation, but its reactivity can decline because of oxidation, surface passivation, and particle aggregation. This review first delineates chlorinated hydrocarbon removal mechanisms by nanoscale zero-valent iron, including adsorption, reduction, oxidation, and co-precipitation. We then summarize how pH, dissolved oxygen, coexisting ions, temperature, reaction time, and initial contaminant concentration shape removal outcomes. To quantify multivariable effects, we compiled 5923 experimental datapoints from 90 publications and applied machine learning models with interpretable feature attribution. Reaction time and specific surface area were the strongest synergistic drivers, and their effects leveled off after approximately 4 days and at around 120 m2/g, respectively. The analysis also identified a high-efficiency window within 0.25 day, an economical dosage near 0.2 g/L, and a concentration sensitivity threshold around 25 mg/L. Bicarbonate below 500 mg/L inhibited chlorinated hydrocarbon removal, whereas copper ions promoted reactivity. These quantitative insights can guide the design of modified nanoscale zero-valent iron and hybrid technologies for robust remediation in complex water matrices.
氯化碳氢化合物污染土壤和地下水,造成重大的健康和生态风险。纳米级零价铁被广泛用于原位修复,但其反应性会因氧化、表面钝化和颗粒聚集而下降。本文首先介绍了纳米级零价铁去除氯化烃的机理,包括吸附、还原、氧化和共沉淀。然后我们总结了pH值、溶解氧、共存离子、温度、反应时间和初始污染物浓度如何影响去除结果。为了量化多变量效应,我们从90篇出版物中收集了5923个实验数据点,并应用了具有可解释特征归因的机器学习模型。反应时间和比表面积是最强的协同驱动因素,它们的作用在大约4天后趋于稳定,分别在120 m2/g左右。分析还确定了0.25 天内的高效窗口,0.2 g/L附近的经济剂量,以及25 mg/L左右的浓度敏感阈值。低于500 mg/L的碳酸氢盐抑制氯化烃的去除,而铜离子促进反应活性。这些定量的见解可以指导设计修饰的纳米级零价铁和混合技术,以在复杂的水基质中进行强大的修复。
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引用次数: 0
Mechanical properties and microstructural evolution of fly ash stabilized loess: Insights from multiscale analysis and environmental impacts 粉煤灰稳定黄土的力学特性和微观结构演化:来自多尺度分析和环境影响的见解
IF 7.1 2区 环境科学与生态学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2025-12-27 DOI: 10.1016/j.eti.2025.104729
Xuanyu Gao , Wanli Xie , Kangze Yuan , Qiqi Liu
Loess, widely distributed globally, is prone to geological hazards due to its metastable structure. Conventional stabilizers (cement, lime) improve its mechanical properties but cause high carbon emissions. This study investigates the effectiveness of fly ash as an eco-friendly stabilizer for loess via multiscale analysis and life cycle assessment (LCA). Unconfined compression tests (UCS) were conducted to evaluate mechanical performance. The UCS of loess stabilized with 20 % fly ash increased by 330.4 % compared with compacted loess. Microstructural evolution is characterized by X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), and X-ray computed tomography (CT). The results show that fly ash particles can fill the inter-aggregate pores, leading to the transformation of macropores and mesopores into small pores and improving cementation. Three-dimensional CT analysis further confirms that with the addition of fly ash, the microstructure becomes denser and the pore morphology evolves toward spherical shapes. LCA demonstrates that compared to conventional stabilizers, fly ash stabilization significantly reduces global warming potential (GWP) and primary energy demand (PED). Compared to stabilization with lime and cement, using fly ash for 1 m³ of loess reduces CO₂ eq emissions by 288.01 kg and 43.09 kg, and decreases PED by 1750.84 MJ and 300.44 MJ, respectively. These findings confirm fly ash as a sustainable stabilizer, supporting geotechnical applications and low-carbon soil improvement.
黄土分布广泛,具有亚稳结构,易发生地质灾害。传统的稳定剂(水泥、石灰)改善了其机械性能,但造成了高碳排放。通过多尺度分析和生命周期评价(LCA)研究了粉煤灰作为生态友好型黄土稳定剂的有效性。进行无侧限压缩试验(UCS)来评估机械性能。粉煤灰掺量为20% %稳定黄土的单轴抗压强度比压实黄土提高330.4 %。通过x射线衍射(XRD)、傅里叶变换红外光谱(FTIR)、扫描电子显微镜(SEM)和x射线计算机断层扫描(CT)对微观结构的演变进行了表征。结果表明:粉煤灰颗粒对集料间孔隙进行充填,使大孔和中孔转变为小孔,提高了胶结性能;三维CT分析进一步证实,粉煤灰的加入使其微观结构更加致密,孔隙形态向球形演化。LCA表明,与常规稳定剂相比,粉煤灰稳定剂显著降低了全球变暖潜能值(GWP)和一次能源需求(PED)。与石灰和水泥稳定化相比,1 m³ 黄土使用粉煤灰分别减少288.01 kg和43.09 kg的CO₂当量排放,减少1750.84 MJ和300.44 MJ的PED。这些发现证实了粉煤灰是一种可持续的稳定剂,支持岩土工程应用和低碳土壤改良。
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引用次数: 0
Coastal flood mitigation under dynamic shoreline change: Integrated modeling approach 动态海岸线变化下的沿海洪水缓解:综合建模方法
IF 7.1 2区 环境科学与生态学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2025-12-25 DOI: 10.1016/j.eti.2025.104726
Anjar Dimara Sakti , Yusa Inderapermana , Akiyuki Kawasaki , Cokro Santoso , Hazel Yordan Komara , Eva Musyaerofah , Ikha Magdalena , Like Hana Fournida Purba , Fajar Yulianto , Wakhidatik Nurfaida , Pitri Rohayani , Ketut Wikantika
Coastal areas play a crucial role in supporting economic and social activities, especially in archipelagic countries like Indonesia. However, these regions are increasingly vulnerable to environmental threats, including rising sea levels and significant coastal erosion. This study focuses on Cirebon Regency, a coastal region experiencing dynamic shoreline changes and increasing risk of coastal flooding. The aim of this study is to model priority areas for coastal flood risk mitigation using a Random Forest based machine learning approach. The novelty of this research lies in its integrative framework, which combines multi decadal shoreline change analysis, sea level rise related indicators, and coastal flood vulnerability modelling to derive spatially explicit mitigation priorities at both grid and administrative levels. The results ndicate that the coastal flood risk model identifies the most vulnerable areas, particularly around river mouths and lowland areas, with a vulnerable area of 2296 ha. Additionally, priority areas for coastal flood mitigation were identified through the integration of shoreline dynamics with coastal flood potential models. The analysis revealed 809.7 ha of high-priority areas concentrated in coastal zone, particularly the sub-districts of Kapetakan, Gunung Jati, and Losari. In total, 34 villages were classified as having high to very high risk, requiring targeted mitigation strategies to reduce the impacts of erosion, accretion, and coastal flooding. This study provides an operational framework for policymakers to target limited resources toward the most critical coastal zones, supporting proactive, data driven strategies to minimize economic losses and environmental impacts in vulnerable coastal region.
沿海地区在支持经济和社会活动方面发挥着至关重要的作用,特别是在印度尼西亚这样的群岛国家。然而,这些地区越来越容易受到环境威胁,包括海平面上升和严重的海岸侵蚀。本研究的重点是碳摄政,这是一个经历动态海岸线变化和沿海洪水风险增加的沿海地区。本研究的目的是使用基于随机森林的机器学习方法对沿海洪水风险缓解的优先区域进行建模。本研究的新颖之处在于其综合框架,该框架结合了多年代际海岸线变化分析、海平面上升相关指标和沿海洪水脆弱性模型,从而在网格和行政层面上得出空间上明确的减灾优先事项。结果表明,沿海洪水风险模型识别出最脆弱的区域,特别是河口和低地地区,脆弱区域为2296 ha。此外,通过将海岸线动力学与沿海洪水潜力模型相结合,确定了沿海洪水缓解的优先区域。分析显示,809.7公顷的高优先区域集中在沿海地区,特别是Kapetakan、Gunung Jati和Losari的分区。总共有34个村庄被列为高风险至极高风险,需要有针对性的缓解战略,以减少侵蚀、增生和沿海洪水的影响。本研究为政策制定者提供了一个操作框架,以将有限的资源用于最关键的沿海地区,支持积极的、数据驱动的战略,以最大限度地减少脆弱沿海地区的经济损失和环境影响。
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引用次数: 0
Use of zinc-rich extracts recovered from black mass of spent batteries as a sustainable and efficient alternative source of zinc for plants 利用从废电池黑堆中回收的富锌提取物作为植物锌的可持续和高效的替代来源
IF 7.1 2区 环境科学与生态学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2025-12-25 DOI: 10.1016/j.eti.2025.104716
Patricia Almendros , Gabriel Gascó , Laura Sánchez-Martin , Alba Martínez-Nuñez , Ana Méndez
This study explores the potential of glycine-based and glycine/NH3 leaching of zinc (Zn) from pyrolyzed black mass (PBM) of spent Zn/C and alkaline batteries to obtain extracts with fertilizer properties. Zinc recovery was optimized under different extractant/black mass ratios, pH levels and particle size. The most effective extraction conditions were achieved using glycine solutions at pH 10, with a particle size < 50 µm, and a molar ratio of 1:8 (Zn:glycine). The effect of the extracts on germination and vigour of vetch, tomato, lettuce and mustard seedlings was evaluated, as well as their impact on Zn availability in the soil, plant nutrient uptake and microbial biomass after application in a lettuce crop. The results showed that the use of glycine at pH 10 (adjusted with NaOH) allowed the extraction of more than 95 % by weight of Zn from PBM. The extracts showed no phytotoxicity, although their effect depended on the dose, pH and plant species. At doses up to 5 mg Zn L-¹ , they improved the development of vetch, lettuce and mustard seedlings. Zn-glycine was as effective as ZnSO₄ in nutrient uptake by lettuce and in increasing Zn availability in the soil. No synergistic effects of Zn and glycine were detected. These findings support the potential of Zn-glycine extracts from battery waste as an alternative source of micronutrients in agriculture, promoting circular economy strategies and sustainable nutrient recycling.
本研究探讨了甘氨酸基浸出法和甘氨酸/NH3浸出法从废锌/C和碱性电池的热解黑质(PBM)中浸出锌(Zn)以获得具有肥料性能的浸出液的潜力。在不同萃取剂/黑质量比、pH和粒径条件下,对锌的回收率进行了优化。在pH为10,粒径为 <; 50 µm,摩尔比为1:8 (Zn:甘氨酸)的条件下,提取效果最佳。以莴苣为试验材料,研究了施用紫花苜蓿提取物对紫花苜蓿、番茄、莴苣和芥菜幼苗萌发和活力的影响,以及对土壤锌有效性、植物养分吸收和微生物生物量的影响。结果表明,在pH为10的条件下(用NaOH调节),甘氨酸可以从PBM中提取出95% %以上的锌。提取物对植物无毒性,但其作用与剂量、pH值和植物种类有关。在高达5 mg Zn L-¹ 的剂量下,他们改善了紫薇、生菜和芥菜幼苗的发育。在莴苣吸收养分和提高土壤锌有效性方面,甘氨酸锌与硫酸锌一样有效。锌和甘氨酸没有协同作用。这些发现支持从电池废料中提取的甘氨酸锌作为农业微量营养素的替代来源,促进循环经济战略和可持续的营养循环的潜力。
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引用次数: 0
Enhancing tetracycline degradation prediction with hybrid DBO-XGBoost on g-C₃N₄ photocatalysts DBO-XGBoost在g-C₃N₄光催化剂上增强四环素降解预测
IF 7.1 2区 环境科学与生态学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2025-12-25 DOI: 10.1016/j.eti.2025.104711
Liuyan Wang , Yinggang Wang , Yun Wang
Antibiotic contamination from tetracyclines (TC) poses significant ecological and public health risks, necessitating effective remediation strategies. Current methods for predicting photocatalytic degradation efficiency often overlook complex, nonlinear interactions in dynamic environmental systems. To address this, we developed a Decision-Based Optimization-enhanced XGBoost (DBO-XGBoost) model tailored to predict and optimize TC degradation using graphitic carbon nitride (g-C₃N₄) photocatalysts. By integrating DBO for targeted hyperparameter tuning within the XGBoost framework, the model effectively captures nonlinear dependencies, achieving superior predictive accuracy (R² = 0.95, RMSE = 0.11). Utilizing a robust dataset of 157 experimental data points, we evaluated eight machine learning models, including traditional (SVR, ANN), advanced (CatBoost, LightGBM), and hybrid (GWO-XGBoost) algorithms. DBO-XGBoost outperformed all models in both performance and robustness. Correlation analysis identified specific surface area and light wavelength as critical factors influencing photocatalytic efficiency, aligning with kinetic principles and providing actionable insights for material and process optimization. Additionally, a theoretical analysis assessed the economic and environmental benefits of g-C₃N₄ photocatalysis, demonstrating its cost-effectiveness and reduced environmental impact compared to traditional methods. This study establishes DBO-XGBoost as a powerful predictive and optimization tool and presents a novel framework for advancing photocatalytic systems to effectively mitigate antibiotic pollution in aquatic environments.

Synopsis

This study developed a machine learning-optimized photocatalytic system for TC degradation, advancing sustainable solutions in environmental remediation.
四环素类抗生素污染造成严重的生态和公共卫生风险,需要有效的修复策略。目前预测光催化降解效率的方法往往忽略了动态环境系统中复杂的非线性相互作用。为了解决这个问题,我们开发了一个基于决策的优化增强XGBoost (DBO-XGBoost)模型,该模型专门用于预测和优化石墨碳氮化碳(g-C₃N₄)光催化剂对TC的降解。通过在XGBoost框架中集成DBO进行目标超参数调优,该模型有效地捕获了非线性依赖关系,实现了卓越的预测精度(R²= 0.95,RMSE = 0.11)。利用157个实验数据点的强大数据集,我们评估了8种机器学习模型,包括传统(SVR, ANN),先进(CatBoost, LightGBM)和混合(GWO-XGBoost)算法。DBO-XGBoost在性能和鲁棒性方面都优于所有模型。相关性分析发现,比表面积和光波长是影响光催化效率的关键因素,与动力学原理一致,为材料和工艺优化提供了可行的见解。此外,理论分析评估了g-C₃N₄光催化的经济和环境效益,证明了与传统方法相比,它具有成本效益和减少了对环境的影响。本研究建立了DBO-XGBoost作为一个强大的预测和优化工具,并为推进光催化系统有效减轻水生环境中的抗生素污染提供了一个新的框架。本研究开发了一种机器学习优化的TC降解光催化系统,为环境修复提供了可持续的解决方案。
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引用次数: 0
Energy–carbon footprint synergy in a temperature-controlled cricket farming system integrating photovoltaic/thermal and heat pump technologies 集成光伏/热能和热泵技术的温控蟋蟀养殖系统中的能源-碳足迹协同作用
IF 7.1 2区 环境科学与生态学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2025-12-25 DOI: 10.1016/j.eti.2025.104724
Panuwit Puttaraksa , Tanongkiat Kiatsiriroat , Tanakorn Wongwuttanasatian , Thanyaluk Sundach , Chawaroj Jaisin , Sulaksana Mongkon , Sarawut Polvongsri
This study evaluated the energy and carbon footprints of a household-scale cricket farming system integrating a temperature control system. In the traditional system, container temperatures fluctuated with ambient conditions, limiting winter production to 4.50 cycles per year. In contrast, the hybrid photovoltaic/thermal and heat pump system, consisting of a 4.40 kW PVT unit integrated with a 10.80 kWth heat pump, maintained stable container temperatures of 28–30 °C even when ambient temperatures dropped to 14.50 °C. This temperature stability enabled 5.50 annual cycles, representing a 37.33 % increase in yield compared with the traditional system. The new system achieved an energy footprint of 5.76 MJ/kg and a carbon footprint of 3.45 kgCO2eq/kg, which were lower than those of the traditional system at 7.52 MJ/kg and 4.42 kgCO2eq/kg, respectively. The economic assessment further demonstrated strong financial feasibility, with a payback period of 4.54 years, a net present value of 38,514.36 USD, and an internal rate of return of 21.56 %. These findings confirm that renewable-energy-assisted temperature control systems can enhance productivity, improve environmental performance, and offer economically attractive solutions for temperature-controlled cricket farming.
本研究评估了集成温度控制系统的家庭规模蟋蟀养殖系统的能源和碳足迹。在传统系统中,容器温度随环境条件而波动,将冬季产量限制在每年4.50个循环。相比之下,由4.40 kW PVT机组和10.80 kWth热泵组成的混合光伏/热热泵系统,即使环境温度降至14.50℃,也能保持28-30℃的稳定容器温度。这种温度稳定性可实现5.50个年循环,与传统系统相比,产量提高了37.33 %。新系统的能源足迹为5.76 MJ/kg,碳足迹为3.45 kgCO2eq/kg,分别低于传统系统的7.52 MJ/kg和4.42 kgCO2eq/kg。经济评估进一步证明了较强的财务可行性,投资回收期为4.54年,净现值为38514.36美元,内部收益率为21.56 %。这些发现证实,可再生能源辅助温度控制系统可以提高生产力,改善环境绩效,并为温度控制蟋蟀养殖提供经济上有吸引力的解决方案。
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引用次数: 0
Litter-derived dissolved organic matter promotes the accumulation and transformation of unstable organic matter in mangrove sediments 凋落物衍生的溶解有机质促进了红树林沉积物中不稳定有机质的积累和转化
IF 7.1 2区 环境科学与生态学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2025-12-24 DOI: 10.1016/j.eti.2025.104723
Guanglong Zhang , Yue Ke , Hanyi Li , Xilin Xiao , Jingchun Liu , Haoliang Lu , Chongling Yan , Hualong Hong
Plant litter input is a fundamental driver of carbon cycling in mangrove sediments. However, the mechanisms by which litter decomposition simultaneously regulates soil organic carbon (SOC) accumulation and destabilization remain poorly understood, limiting our ability to predict the stability of blue carbon ecosystems. Herein, we conducted litter addition experiments combined with three-dimensional excitation-emission matrix fluorescence spectroscopy, Fourier transform ion cyclotron resonance mass spectrometry and proton nuclear magnetic resonance, to assess dissolved organic carbon transformation and stability during litter decomposition. Our results demonstrate that litter decomposition alters mangrove sediment properties, with a higher decomposition rate observed in summer compared to winter. During summer, litter-driven carbon accumulation increased significantly (from 20 to 40 g kg⁻¹), characterized by high microbial activity and decarboxylation reactions, leading to substantial accumulation of labile components (e.g., CCCH, XCCH) and a net increase in SOC lability. In contrast, winter decomposition favored preservation pathways, such as dealkylation and oxygen addition, resulting in the enrichment of recalcitrant, carboxyl-rich alicyclic molecules. This mechanistic insight resolves the apparent paradox of simultaneous stability and instability, demonstrating that litter input is a critical determinant of blue carbon fate. Our findings underscore the necessity of incorporating these seasonal dynamics and molecular-level pathways into models for accurate carbon accounting and sustainable management of mangrove ecosystems.
植物凋落物输入是红树林沉积物碳循环的基本驱动力。然而,凋落物分解同时调节土壤有机碳(SOC)积累和不稳定的机制仍然知之甚少,限制了我们预测蓝碳生态系统稳定性的能力。为此,我们结合三维激发发射矩阵荧光光谱、傅立叶变换离子回旋共振质谱和质子核磁共振进行凋落物添加实验,评估凋落物分解过程中溶解有机碳的转化和稳定性。我们的研究结果表明,凋落物分解改变了红树林沉积物的性质,夏季的分解率高于冬季。在夏季,凋落物驱动的碳积累显著增加(从20到40 g kg⁻¹),以高微生物活性和脱羧反应为特征,导致大量不稳定成分(如CCCH, XCCH)的积累和SOC稳定性的净增加。相比之下,冬季分解有利于脱烷基和氧加成等保存途径,从而使顽固的富含羧基的脂环分子富集。这种机制的洞察力解决了同时稳定和不稳定的明显悖论,表明凋落物输入是蓝碳命运的关键决定因素。我们的研究结果强调了将这些季节性动态和分子水平途径纳入模型的必要性,以便对红树林生态系统进行准确的碳核算和可持续管理。
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Environmental Technology & Innovation
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