Publications by authors named "Schnelle-Kreis J"

Air pollution significantly contributes to the global burden of respiratory and cardiovascular diseases. While single source/compound studies dominate current research, long-term, multi-pollutant studies are crucial to understanding the health impacts of environmental aerosols. Our study aimed to use the first air-liquid interface (ALI) aerosol exposure system adapted for long-term in vitro exposures for ambient air in vitro exposure.

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Background: The formation of secondary organic aerosols (SOA) by atmospheric oxidation reactions substantially contributes to the burden of fine particulate matter (PM), which has been associated with adverse health effects (e.g., cardiovascular diseases).

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Ultrafine particles (UFP) are the smallest atmospheric particulate matter linked to air pollution-related diseases. The extent to which UFP's physical and chemical properties contribute to its toxicity remains unclear. It is hypothesized that UFP act as carriers for chemicals that drive biological responses.

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  • The oxidative potential (OP) of particulate matter (PM) significantly impacts health, yet the sources of PM-OP in India are not well understood.
  • Research conducted at five sites in the Indo-Gangetic Plain identifies major PM sources and their geographical origins, revealing that high PM levels are widespread but driven by local emissions, particularly in Delhi.
  • The study highlights that the main PM sources in Delhi are from traffic exhaust and residential heating, while outside Delhi, biomass burning plays a crucial role, suggesting that improving combustion processes can reduce health risks from PM exposure in northern India.
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  • This study introduces a new LSTM neural network model that uses color features from street images to estimate air quality, specifically focusing on particulate matter (PM) in different European environments like urban and suburban areas.
  • The model outperformed other deep learning models and achieved over 80% accuracy in interpreting various PM metrics, verified with data collected in downtown Augsburg, Germany.
  • The LSTM-HSV model shows potential for broader applications in estimating air pollution, which could be beneficial for urban planning and public health efforts.
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Epidemiological studies identified air pollution as one of the prime causes for human morbidity and mortality, due to harmful effects mainly on the cardiovascular and respiratory systems. Damage to the lung leads to several severe diseases such as fibrosis, chronic obstructive pulmonary disease and cancer. Noxious environmental aerosols are comprised of a gas and particulate phase representing highly complex chemical mixtures composed of myriads of compounds.

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The emissions of marine diesel engines have gained both global and regional attentions because of their impact on human health and climate change. To reduce ship emissions, the International Maritime Organization capped the fuel sulfur content of marine fuels. Consequently, either low-sulfur fuels or additional exhaust gas cleaning devices for the reduction in sulfur dioxide (SO) emissions became mandatory.

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  • The study analyzed equivalent black carbon (eBC) levels in Augsburg, Germany over three years, highlighting peak concentrations during morning and evening traffic hours.
  • It revealed that eBC levels were significantly affected by traffic patterns, meteorological conditions, and showed a 35% drop on weekends and a 30% drop during COVID-19 lockdowns due to reduced vehicle usage.
  • The research utilized multilinear regression to explain 53% of eBC variability, offering insights for policymakers aimed at reducing eBC pollution and its health impacts.
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Background: Exposure to air pollutants is one of the major environmental health risks faced by populations globally. Information about inhaled particle deposition dose is crucial in establishing the dose-response function for assessing health-related effects due to exposure to air pollution.

Objective: This study aims to quantify the respiratory tract deposition (RTD) of equivalent black carbon (BC) particles in healthy young adults during a real-world commuting scenario, analyze factors affecting RTD of BC, and provide key parameters for the assessment of RTD.

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  • The study investigated the toxic effects of secondary organic aerosols (SOAs) from different sources, specifically comparing soot particles coated with β-pinene SOA and naphthalene SOA on human bronchial cells.
  • Results showed that naphthalene SOA induced stronger oxidative stress and genotoxicity responses in the cells compared to β-pinene SOA due to differences in their chemical composition.
  • The findings suggest that SOAs from anthropogenic sources, like naphthalene, have higher toxicological risks compared to biogenic sources, highlighting the need for further research on SOA health effects.
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  • Aerosols significantly influence the Arctic atmosphere's radiation balance, with organic aerosols being a major component that remains poorly understood.
  • Analysis from eight Arctic observatories reveals that winter organic aerosols are primarily from anthropogenic sources in Eurasia, while summer sees a shift to natural emissions like marine and biogenic aerosols.
  • The strength and effects of these aerosol sources are influenced by environmental factors like nutrient levels, solar radiation, temperature, and snow cover, providing key insights for climate impact modeling in the Arctic.
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Background: Secondary organic aerosols (SOAs) formed from anthropogenic or biogenic gaseous precursors in the atmosphere substantially contribute to the ambient fine particulate matter [PM in aerodynamic diameter ()] burden, which has been associated with adverse human health effects. However, there is only limited evidence on their differential toxicological impact.

Objectives: We aimed to discriminate toxicological effects of aerosols generated by atmospheric aging on combustion soot particles (SPs) of gaseous biogenic () or anthropogenic (naphthalene) precursors in two different lung cell models exposed at the air-liquid interface (ALI).

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Several air pollution episodes occurred in Beijing before and after the 2014 Asia-Pacific Economic Cooperation (APEC) summit, during which air-pollution control measures were implemented. Within this autumn-winter transit season, domestic heating started. Such interesting period merits comprehensive chemical characterization, particularly the organic species, to look into the influence of additional heating sources and the control measures on air pollution.

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This study analyzed long-term observational data of particulate matter (PM, PM) variability, gaseous pollutants (CO, NO, NO, SO, and O), and meteorological factors in 412 fixed monitoring stations from January 2008 to December 2018 in Germany. Based on Hurst index analysis, the trend of atmospheric pollutants in Germany was stable during the research period. The relative correlations of gaseous pollutants and meteorological factors on PM and PM concentrations were analyzed by Back Propagation Neural Network model, showing that CO and temperature had the greater correlations with PM and PM.

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The study investigates the spatial pattern of black carbon (BC) at a high spatial resolution in Augsburg, Germany. Sixty two walks were performed to assess the concentrations of equivalent black carbon (eBC), ultraviolet particulate matter (UVPM), and equivalent brown carbon (eBrC) in different seasons and at different times of the day with a mobile platform (i.e.

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Semi-volatile organic compounds (SVOCs), partitioned between particulates and vapours of an aerosol, require special attention. The toxicological effects caused by the inhalation of such aerosols may depend on the concentration and in which phase the organic compounds are found. A personal denuder-gas-particle separation aerosol sampler was developed to provide information about the partitioning of aerosols from organic compounds.

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  • Exceeding environmental pollutant levels raises concerns about their impact on public and human health, particularly in Italy's severe air quality hotspots like the Veneto region.
  • A comprehensive study focused on the organic fraction of aerosols in Sernaglia della Battaglia, utilizing advanced mass spectrometry to identify various pollutants.
  • Results revealed four main sources of particulate matter: solid fuel combustion, petroleum combustion, vehicle emissions, and industrial processes, highlighting critical contributors to local air pollution.
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Background: Wood combustion emissions have been studied previously either by in vitro or in vivo models using collected particles, yet most studies have neglected gaseous compounds. Furthermore, a more accurate and holistic view of the toxicity of aerosols can be gained with parallel in vitro and in vivo studies using direct exposure methods. Moreover, modern exposure techniques such as air-liquid interface (ALI) exposures enable better assessment of the toxicity of the applied aerosols than, for example, the previous state-of-the-art submerged cell exposure techniques.

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High-time-resolution (3-hour) PM samples were collected simultaneously from the rural and urban areas in the Yangtze River Delta region during winter. The aerosol samples were analyzed for carbonaceous components, organic tracers, water-soluble inorganic ions and stable carbon (δC) and nitrogen (δN) isotopic compositions of total carbon and total nitrogen. The values of PM and secondary organic carbon (SOC) for both sampling sites were observed 2 times higher in haze events compare to those in clear days, implying severe pollution occurred by photochemical oxidation during haze periods.

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Generally, there are only a few fixed air quality monitoring stations installed in villages or rural areas and only a few studies on small-scale variations in air pollution have been described in detail, which make it difficult to estimate human exposure in such environments and related adverse health effects. Moreover, biomass combustion can be an important source of air pollution in rural areas, comparable to vehicle and industrial emissions in urban planning. And their air pollutants are mainly affected by local sources.

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Particulate matter is the key to increasing urban air pollution, and research into pollution exposure assessment is an important part of environmental health. In order to classify PM air pollution and to investigate the population exposure to the distribution of PM, daily and monthly PM concentrations of 379 air pollution monitoring stations were obtained for a period from 01/01/2017 to 31/12/2017. Firstly, PM concentrations were classified using the head/tail break clustering algorithm to identify locations with elevated PM levels.

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With over 8 million inhabitants and 4 million motor vehicles on the streets, Tehran is one of the most crowded and polluted cities in the Middle East. Frequent exceedances of national daily PM limit have been reported in this city during the last decade, yet, the chemical composition and sources of fine particles are poorly determined. In the present study, 24-hour PM samples were collected at two urban sites during two separate campaigns, a one-year period from 2014 to 2015 and another three-month period at the beginning of 2017.

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Growing literature has documented varying toxic potencies of source- or site-specific fine particulate matter (PM), as opposed to the practice that treats particle toxicities as independent of composition given the incomplete understanding of the toxicity of the constituents. Quantifying component-specific contribution is the key to unlocking the geographical disparities of particle toxicity from a mixture perspective. In this study, we performed integrated mixture-toxicity experiments and modeling to quantify the contribution of metals and polycyclic aromatic hydrocarbons (PAHs), two default culprit component groups of PM toxicity, to in vitro oxidative stress caused by wintertime PM from Beijing and Guangzhou, two megacities in China.

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