检索结果-内蒙古大学图书馆

Hydrophobic SERS substrate for PFOA sensing and cooperative adsorption

Talanta 2025年 294卷 128244页

作者： Guo, Yirong Li, Zheng Li, Wenqi Chen, Xiaoping Cai, Zhixiong Logistics Office Minnan Normal University Zhangzhou363000 China Key Laboratory of Modern Analytical Science and Separation Technology of Fujian Province Key Laboratory of Pollution Monitoring and Control of Fujian Province College of Chemistry Chemical Engineering and Environment Minnan Normal University Zhangzhou363000 China

The widespread use of perfluorinated organic compounds (PFOA) has posed significant threats to ecosystems and biological health. This study investigates a fluorinated metal-organic framework (F-MOF) for highly sensitive SERS detection and efficient adsorption of PFOA in aqueous environments. Au@MIL-4F, synthesized via a mild thermochemical method using tetrafluoroterephthalic acid and iron (Ⅲ), exhibits exceptional selectivity and sensitivity toward PFOA, achieving a broad detection range with a remarkably low detection limit of 38 pM. The SERS sensor demonstrates excellent reproducibility and stability. Furthermore, adsorption kinetics and thermodynamic studies reveal a maximum adsorption capacity of 254.25 mg/g for PFOA on Au@MIL-4F. The adsorption mechanism, elucidated through spectroscopic and structural analyses, provides critical theoretical insights for developing dual-functional systems that integrate detection and adsorption capabilities. This work not only advances material design for environmental remediation but also offers a practical strategy to address PFOA contamination with precision and sustainability. © 2025 Elsevier B.V.

关键词： pollution detection

来源：评论

学校读者我要写书评

暂无评论

Gaseous air pollution exposure and depression in middle-aged and elderly adults: evidence from a Chinese cohort

引用

Environmental Science: Processes and Impacts 2025年第5期27卷 1472-1481页

作者： Zhou, Yumeng Wang, Kexue Wang, Xiaoqing Tang, Enjie Liu, Hao Liu, Xiaoling Yao, Chunyan Wang, Liangmei Zhou, Chunbei Li, Qianqian Xu, Wuwei Lu, Wuqiang Ji, Ailing Cai, Tongjian Department of Disease Prevention and Control Daping Hospital State Key Laboratory of Trauma and Chemical Poisoning Army Medical University Third Military Medical University Chongqing400042 China Department of Physico-chemical Inspection Shijiazhuang Center for Disease Control and Prevention Shijiazhuang050011 China Department of Neurology 925 Hospital of PLA Joint Logistics Support Force Guiyang550009 China Department of Epidemiology College of Preventive Medicine State Key Laboratory of Trauma and Chemical Poisoning Army Medical University Third Military Medical University Chongqing400038 China School of Public Health The Key Laboratory of Environmental Pollution Monitoring and Disease Control Ministry of Education Guizhou Medical University Guiyang550025 China Chongqing Center for Disease Control and Prevention Chongqing400700 China Department of Digital Health Chongqing College of Architecture and Technology Chongqing401331 China

Increasing research has investigated the impact of atmospheric gaseous air pollution on depression. However, the results have exhibited inconsistencies, and the majority of studies have focused on the impact of long- or short-term exposures. The aim of the study was to investigate the impact of intermediate-term exposure to gaseous air pollution on depression in middle-aged and older adults. In 2013, 8639 participants aged 45 and above were enrolled in the China Health and Retirement Longitudinal Study (CHARLS). Using a linear mixed-effects model, we examined the association between gaseous air pollution (NO2, SO2, CO, and O3) and depression over intermediate-term exposure windows (30, 60, 90, and 180 days). Interaction and subgroup analyses were conducted to identify potential effect modifiers in the association. Every 10 μg m−3 increase in NO2 and SO2 was associated with increased depression scores, with the most pronounced effects observed in the 30 day exposure window (β = 0.55, 95% CI: 0.25-0.85) and 60 day exposure window (β = 0.75, 95% CI: 0.52-0.99), respectively. For CO, every 1 mg m−3 increase was associated with elevated depression scores in the 60 day exposure window (β = 1.28, 95% CI: 0.44-2.13). Interaction analyses revealed that individuals who consumed alcohol, lived in urban areas, or were married exhibited heightened susceptibility to the effects of gaseous air pollution on depression. Here, we provide the first evidence that intermediate-term gaseous air pollution exposure within specific temporal windows may substantially increase the risk of depression. It is important to prioritize individuals who consume alcohol, live in urban areas, and are married. © 2025 The Royal Society of Chemistry.

关键词： Air quality

来源：评论

学校读者我要写书评

暂无评论

Determining the differences in O₃-NO_x-VOCs sensitivity between sauna and roast days

引用

Journal of Environmental Sciences (China) 2025年 157卷 605-614页

作者： Liu, Yuting Wang, Yinghong Liu, Yusi Cheng, Mengtian Liu, Baoxian Song, Tao Hu, Bo Yao, Dan Yu, Miao Shi, Yu Tang, Guiqian Wang, Yuesi State Key Laboratory of Atmospheric Environment and Extreme Meteorology Institute of Atmospheric Physics Chinese Academy of Sciences Beijing 100049 China State Key Laboratory of Severe Weather & Key Laboratory for Atmospheric Chemistry of China Meteorology Administration Chinese Academy of Meteorological Sciences Beijing 100081 China Beijing Key Laboratory of Airborne Particulate Matter Monitoring Technology Beijing Municipal Ecological Environmental Monitoring Center Beijing 100048 China Key Laboratory for Yellow River and Huai River Water Environment and Pollution Control Ministry of Education Henan Key Laboratory for Environmental Pollution Control School of Environment Henan Normal University Xinxiang 453007 China University of Chinese Academy of Sciences Beijing 100049 China

Temperature is a key meteorological factor that affects tropospheric ozone (O3), with both humid-heat (sauna days) and dry-heat (roast days) conditions leading to O3 exceedances. However, the mechanisms influencing O3... 详细信息

Temperature is a key meteorological factor that affects tropospheric ozone (O₃), with both humid-heat (sauna days) and dry-heat (roast days) conditions leading to O₃ exceedances. However, the mechanisms influencing O₃ formation and degradation under these two weather conditions remain unclear. Therefore, experiments were conducted in Beijing from 2019 to 2021 to observe O₃, its precursors, and related meteorological elements. A total of 18 days with O₃ exceedances were selected, including 10 sauna days and 8 roast days. The results of this study revealed that on roast days, the sensible heat flux was 143.5 W/m² greater and the wind speed gradient was 0.018 s^-1 greater than those on sauna days, indicating more intense thermal and dynamic turbulence. The strong turbulence enhanced the vertical cycle of nitrogen dioxide (NO₂) and O₃, resulting in a 58.2 μg/(m²·h) increase in NO₂ upward transport rate and a 1,034.4 μg/(m²·h) increase in O₃ downward transport rate on roast days than sauna days. Subsequently, a box model analysis was used to examine O₃ formation under the two types of weather conditions, revealing that the NO₂-O₃ vertical cycling speed dominated the O₃ sensitivity. The O₃ sensitivity was synergistically controlled by nitrogen oxides (NO_x) and volatile organic compounds on sauna days, while it tended to be NO_x-limited on roast days. The aim of this study was to provide a scientific theoretical basis for the control of O₃ under different types of high temperature weather conditions. © 2024

关键词： Dynamic turbulence Ozone sensitivity Roast days Sauna days Thermal turbulence

来源：评论

学校读者我要写书评

暂无评论

Impacts of El Niño–Southern Oscillation on global fire PM_2.5 during 2000–2023

引用

Atmospheric and Oceanic Science Letters 2025年第3期18卷

作者： Hu, Yonghang Yue, Xu Tian, Chenguang Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Collaborative Innovation Center of Atmospheric Environment and Equipment Technology School of Environmental Science and Engineering Nanjing University of Information Science & Technology (NUIST) Nanjing China

The El Niño–Southern Oscillation (ENSO) is a key driver of global climate variability, profoundly influencing regional fire activities and associated pollutant emissions. This study investigates the impacts of ENSO on global fire emissions and fire-induced PM_2.5 concentrations in 2000–2023. During El Niño events, global fire emissions increase by 5.9 %–20.0 % with regional hotspots in Indonesia, North America, and Australia, driven by anomalous warming and rainfall deficits. In contrast, La Niña events result in a 3.2 %–9.9 % reduction in global fire emissions, with regional variability depending on the fire inventories used. In response, fire-induced PM_2.5 concentrations increase substantially during El Niño, rising by 27.5 %–71.0 % in Indonesia, 49.2 %–116.5 % in North America, and 17.5 %–42.6 % in Australia. Conversely, La Niña events lead to decreases of 26.6 %–52.5 %, 19.4 %–37.3 %, 14.5 %–24.4 % in these regions, respectively. These findings highlight the critical role of ENSO in shaping fire emissions and air pollution from regional to global scales, providing valuable insights for mitigating the impacts of climatic extremes on air quality. 摘要厄尔尼诺-南方涛动(ENSO)是全球气候变化的主要驱动因素, 对区域火灾活动及其相关污染物排放有深远影响. 本研究分析了2000–2023年期间ENSO对全球火灾排放及火灾引起的PM_2.5浓度的影响. 在厄尔尼诺事件期间, 由于异常增温和降水不足, 全球火灾排放增加5.9 %-20.0 %, 其中印度尼西亚, 北美和澳大利亚为火排放增幅最显著地区. 相比之下, 拉尼娜事件期间全球火灾排放减少3.2 %-9.9 %, 具体变化取决于所使用的火灾排放清单.在此背景下, 火灾引起的PM_2.5浓度在厄尔尼诺事件期间显著增加, 印度尼西亚增加27.5 %-71.0 %, 北美增加49.2 %-116.5 %, 澳大利亚增加17.5 %-42.6 %;而在拉尼娜事件期间, 这些地区的PM_2.5浓度分别减少26.6 %-52.5 %, 19.4 %-37.3 %和14.5 %-24.4 %. 研究结果表明, ENSO从区域到全球尺度上深刻影响着火排放和空气污染物浓度, 相关结论为减缓极端气候事件对空气质量的影响提供了重要的科学依据. © 2025 The Authors

关键词： Climate change ENSO PM2.5 Wildfire

来源：评论

学校读者我要写书评

暂无评论

Dynamic changes of microbial community and Pb speciation distribution in rain sewage alternating constructed wetlands in winter and summer

引用

Journal of Water Process Engineering 2025年 72卷

作者： Peng, Xiaoqing Wang, Xiuzhang Shi, Haoqian Yu, Jianghua Huang, Xiao Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control School of Environmental Science and Engineering Nanjing University of Information Science & Technology Nanjing 210044 China

Constructed wetland is a choice to treat alternating rainwater and sewage influent (named as rainwater and sewage alternating constructed wetland, RSCW) with poor understanding for seasonal dynamics of lead (Pb) speciation and microbial community in it. Two lab-scale RSCWs were established to elucidate the interactions among Pb speciation, microbial community composition, and environmental factors in response to seasonal variations. The results demonstrated that the reducible fraction (highly bioavailable) predominated in winter (37–53 %), and the residual fraction with low bioavailability accounted for over 53 % in summer. A peak removal efficiency was 78 % and an accumulation rate was 0.3 mg·kg⁻¹·mon⁻¹ in winter. However, the removal efficiency decreased to 35 % in summer with an accumulation rate increased to 11 mg·kg⁻¹·mon⁻¹. Microbial analysis revealed that microbial diversity and richness were higher in summer than in winter, and Proteobacteria and Chloroflexi regulated the distribution of Pb species through various biogeochemical pathways. Correlation analysis further confirmed that pH, urease activity, and Pb speciation were significantly correlated with Nitrospira, Methylotenera, Lactobacillus, Sphingomonas and Bacillus (p < 0.05). The research findings revealed the influence of environmental-microbial interactions on Pb speciation and removal efficiency under seasonal changes, and provided a theoretical basis for optimizing RSCW operations. © 2025

关键词： Constructed wetlands Microorganisms Pb speciation Rainwater-sewage alternation Seasonal variation

来源：评论

学校读者我要写书评

暂无评论

Summertime bottom marine heatwaves in the East China Sea driven by oceanic circulation

引用

Journal of Oceanology and Limnology 2025年 1-13页

作者： Gao, Jiaxiang Zhang, Rong-Hua Zhi, Hai Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Collaborative Innovation Center of Atmospheric Environment and Equipment Technology School of Environmental Science and Engineering Nanjing University of Information Science and Technology Nanjing 210044 China School of Marine Sciences Nanjing University of Information Science and Technology Nanjing 210044 China School of Atmospheric Sciences Nanjing University of Information Science and Technology Nanjing 210044 China

Bottom marine heatwaves (BMHWs), i.e., anomalous ocean warming at the seafloor, can happen without concurrent surface marine heatwaves (SMHWs), which pose a serious threat to marine ecosystems and present a challenge to detect and study them adequately. This type of event is called independent BMHWs. This study examines the summertime BMHWs on the continental shelf of the East China Sea (ECS) using oceanic reanalysis data from 1993 to 2020. Our results show that summertime BMHWs in the ECS are generally more intense than SMHWs, with some BMHW events occurring without surface expression. Through heat budget analyses of the 2016 SMHW event and the 2019 BMHW event, we investigated the drivers of independent summertime BMHWs. It is indicated that the occurrences of bottom temperature anomalies in summer are predominantly attributed to oceanic horizontal advection. Specifically, the summertime BMHWs on the central ECS shelf are closely related to the strengthening of the inshore branch of the Taiwan Warm Current (TWC) and the weakening of the offshore TWC branch. These findings provide important insights into the underlying physical processes and diagnostic tools for monitoring and managing independent BMHWs in the ECS. © Chinese Society for Oceanology and Limnology, Science Press and Springer-Verlag GmbH Germany, part of Springer Nature 2025.

关键词： bottom marine heatwave (BMHW) East China Sea (ECS) oceanic horizontal advection Taiwan Warm Current (TWC)

来源：评论

学校读者我要写书评

暂无评论

Hydrophobic Sers Substrate for Pfoa Sensing and Cooperative Adsorption

SSRN

引用

SSRN 2025年

作者： Guo, Yirong Li, Zheng Chen, Xiaoping Cai, Zhixiong Logistics Office Minnan Normal University Zhangzhou363000 China Key Laboratory of Modern Analytical Science and Separation Technology of Fujian Province Key Laboratory of Pollution Monitoring and Control of Fujian Province College of Chemistry Chemical Engineering and Environment Minnan Normal University Zhangzhou363000 China

The widespread use of perfluorinated organic compounds (PFOA) has posed significant threats to ecosystems and biological health. This study investigates a fluorinated metal-organic framework (F-MOF) for highly sensitive SERS detection and efficient adsorption of PFOA in aqueous environments. Au@MIL-4F, synthesized via a mild thermochemical method, exhibits exceptional selectivity and sensitivity toward PFOA, achieving a broad detection range with a remarkably low detection limit of 38 pM. The SERS sensor demonstrates excellent reproducibility and stability. Furthermore, adsorption kinetics and thermodynamic studies reveal a maximum adsorption capacity of 254.25 mg/g for PFOA on Au@MIL-4F. The adsorption mechanism, elucidated through spectroscopic and structural analyses, provides critical theoretical insights for developing dual-functional systems that integrate detection and adsorption capabilities. This work not only advances material design for environmental remediation but also offers a practical strategy to address PFOA contamination with precision and sustainability. © 2025, The Authors. All rights reserved.

关键词： Environmental design

来源：评论

学校读者我要写书评

暂无评论

Ensemble source apportionment of particulate matter and volatile organic compounds and quantifying ensemble source impacts on ozone

引用

Journal of Environmental Sciences (China) 2025年 157卷 534-545页

作者： Liang, Weiqing Wang, Zhenyu Zhao, Dongheng Liu, Jinxing Ma, Tong Feng, Yinchang Shi, Guoliang State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control Tianjin Key Laboratory of Urban Transport Emission Research College of Environmental Science and Engineering Nankai University Tianjin300350 China College of Environmental Science and Engineering Nankai University Tianjin300350 China State Key Laboratory of Precision Measuring Technology and Instruments Tianjin Environmental Monitoring Technology Enterprise Key Laboratory School of Precision Instrument and Optoelectronics Engineering Tianjin University Tianjin300072 China Co. Ltd. Tianjin300072 China Chinese Research Academy of Environmental Sciences Beijing100012 China

Serious fine particulate matter (PM2.5) pollution and rapidly increasing of ground-level ozone (O3) concentrations are concern issues in China. To achieve the comprehensive control of PM2.5-O3 composite air pollution, exploring the common sources of PM2.5 and VOCs is essential. However, previous researches most carried out either PM2.5 or VOCs source appointment. In this study, we applied the ensemble source apportionment method to explore the impacts of common sources on PM2.5-VOCs. Subsequently, we obtained the ensemble source impacts on O3 combining the extracted VOCs source profile and ozone formation potential. We found that the focus of environmental management and source control should be varied accordingly for different pollutants. Vehicle emission was the largest contributor (41 %) to PM2.5-VOCs, while industrial emission was the main common source (51 %) to O3. The result showed that the O3 production rate is not only related to the VOCs emission, but also to the reactivity of VOCs. In addition, sensitivity tests revealed that temperature was the main factor affecting O3 formation. The study provides a framework to explore the common sources impact on PM2.5 and VOCs, which is benefit to address both PM2.5 and O3 mitigations. © 2024

关键词： Emission control

来源：评论

学校读者我要写书评

暂无评论

An Ensemble Machine Learning Approach for Predicting Sources of Organic Aerosols Measured by Aerosol Mass Spectrometry

ACS ES&T Air

引用

ACS ES&T Air 2025年第3期2卷 378-385页

作者： Yunjiang Zhang Jie Fang Qingxiao Meng Xinlei Ge Hasna Chebaicheb Olivier Favez Jean-Eudes Petit Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control School of Environmental Science and Engineering Nanjing University of Information Science and Technology Nanjing 210044 China；Institut National de l’Environnement Industriel et des Risques Verneuil-en-Halatte 60550 France Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control School of Environmental Science and Engineering Nanjing University of Information Science and Technology Nanjing 210044 China Institut National de l’Environnement Industriel et des Risques Verneuil-en-Halatte 60550 France Laboratoire des Sciences du Climat et de l’Environnement CEA/Orme des Merisiers Gif sur Yvette 91191 France

Long-term source apportionment of atmospheric organic aerosols (OA) is essential for supporting air pollution management strategies. While aerosol mass spectrometry (AMS) combined with traditional source apportionment tools can accurately identify various OA sources, they face efficiency challenges when processing large volumes of long-term data. This study proposes an ensemble machine learning approach to efficiently apportion OA sources from long-term AMS measurements. Using six-year observation of a simplified version of AMS (i.e., ACSM) in the Paris region along with OA factor data derived from positive matrix factorization analysis, we developed an ensemble machine learning source apportionment model. Compared to individual machine learning algorithms, the ensemble model substantially reduced the root-mean-square error (RMSE) and increased the correlation coefficient in predicting OA sources by approximately 30% and 5%, respectively. Sensitivity analysis with five years of baseline data revealed that model performance relatively stabilizes when the training data exceeds two years, with RMSE values for primary and secondary OA factors at 0.31–0.45 μg/m3and 0.69–0.84 μg/m3, respectively. This ensemble model not only enhances the efficiency of long-term OA source apportionment but also holds potential for near-real-time online applications.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Development of a Novel (EU (Iii) Post-Functionalized Zirconium-Based Metal-Organic Framework) Dual-Emission Ratiometric Fluorescent Probe for Rapid and Highly Selective Detection of Pb2+ and Cu2+

SSRN

引用

SSRN 2025年

作者： He, Yu Liu, Suqing Zhou, Yan Wang, Junping School of Public Health the key Laboratory of Environmental Pollution Monitoring and Disease Control Ministry of Education Guizhou Medical University Guiyang550025 China State Key Laboratory of Food Nutrition and Safety College of Food Science and Engineering Tianjin University of Science & Technology 29 The Thirteenth Road Tianjin Economy and Technology Development Area Tianjin300457 China

At present, with the development of society, different enterprises inevitably produce industrial wastewater and waste residue containing lead and copper. Therefore, there is an urgent need for a rapid and simple method to detect lead and copper in pollutants. In this paper, a metal-organic framework (MOF) doped with Eu(III) (Eu3+/UiO-66-NH2) was successfully prepared by one-pot hydrothermal technique. The probe is capable of detecting Pb2+ and Cu2+ with high sensitivity. Pb2+ and Cu2+ have detection ranges of 5-340 μM and 0.01-200 μM, respectively. The detection limit for Pb2+ was as low as 1.01 μM, and the detection limit for Cu2+ was 6.46 μM. mol/L. This approach has a good detection performance when compared to the method described in the literature. It shows that the prepared sensor has great potential in the detection of actual lead and copper, and provides a practical and effective method for rapid and accurate detection of heavy metal ions. © 2025, The Authors. All rights reserved.

关键词： Fluorescence

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：