Spatial distribution of atmospheric microplastics in bulk-deposition of urban and rural environments - A one-year follow-up study in northern Germany

Atmospheric microplastics deposition in a central Indian city: Distribution, characteristics and seasonal variations

Atmospheric microplastics (AMPs) transport and deposition in urban areas contribute to microplastics pollution. The present study investigates AMPs deposition, characteristics, potential sources, and the influence of meteorological factors in a central Indian city. AMPs were collected over three land-use types, viz. institutional, commercial, and industrial areas, during four seasons: summer, monsoon, autumn, and winter. The deposition flux of microplastics ranged from 212.53 ± 52.32 to 543.25 ± 71.23 particles/m2/day. The AMPs were predominantly fibres (87.84 %), followed by films (5.43 %), with particle size <1000 μm contributed 43.67 %. The predominant polymer types identified were polyethylene terephthalate (PET, 37.39 %), nylon (20.49 %), and polypropylene (PP, 10.27 %). Higher deposition fluxes were recorded in summer, with 491.06 ± 73.37 particles/m2/day. Correlation analysis revealed a negative correlation between rainfall and AMPs deposition, suggesting a potential cleaning role of rainfall. The estimated annual deposition flux of AMPs in Nagpur city was 3.22 × 1013 particles. Higher AMPs deposition was attributed to plastic waste littering, industrial emissions, and textiles. The estimated mean annual inhalation exposures of AMPs of size 50-250 μm for children and adults were 7375.84 ± 1312.89 and 3738.17 ± 665.39 MPs/kg-bw/year, respectively. The findings of this study contribute to understanding the fate of AMPs and its implications for human exposure. The findings underscore the importance of reducing and managing plastic waste.

Particulate matter in ambient air (Krk island, Croatia): elemental analysis, sources and microplastics

Particulate matter (PM) in ambient air is a significant public health concern. While PM monitoring is commonly conducted at urban and industrial sites, background stations are important for understanding broader atmospheric processes. This study presents the first elemental analysis of PM at a background station on the island of Krk in the northern Adriatic (Croatia). The sampling period lasted from June to December 2023. The results reveal fair air quality, with occasional episodes of air quality deterioration, mainly during the winter months. These episodes are likely linked to distant sources such as industrial areas or Saharan dust, although local influences, including soil dust, and traffic, also contribute. The study also investigates the detection of microplastics (MPs) in the air using fluorescence microscopy. Concentrations of detected MPs particles showed no connection to PM pollution. Validations with more established techniques like micro-FTIR or Raman spectroscopy are recommended, as the proposed method is a cost-effective option for financially constrained laboratories. A key contribution of this study is the placement of the sampler adjacent to the water reservoir, the island's primary source of drinking water. Understanding potential pollution sources is vital for maintaining water quality. Continuation of monitoring at this site is essential to assess whether episodes of poor air quality are isolated incidents or linked to long-term pollution sources.

Microscopic anthropogenic waste ingestion by small terrestrial European passerines: evidence from finch and tit families

Microscopic anthropogenic waste (MAW) has become a major environmental concern worldwide. Our study aimed to assess the accumulation of MAW in the gastrointestinal tracts of nine common European passerine species from finch (Fringillidae) and tit (Paridae) families, and evaluate their suitability for environmental monitoring. We searched for MAW in the birds' stomachs and intestines and identified suspected particles using Raman microspectroscopy. In total, we found 57 MAW particles in 31 out of 149 analyzed individuals, 7 of which were microplastics (polyethylene, polyethylene terephthalate, polystyrene), 1 was identified as carbon nanotube, while 49 were cellulosic-based (cotton, cellulose, rayon, viscose). The generalized linear mixed models identified bird family and time in season as significant predictors of MAW ingestion. Finches ingested more MAW than tits, and higher ingestion rates were observed during the non-breeding period. Other predictors, including bird sex, age, gastrointestinal tract section, and site, showed varying but non-significant effects. As predicted, the studied species exhibited a lower ingestion rate of MAW compared to terrestrial birds studied so far, possibly due to their diet and feeding behavior. Given that these species are prey for many avian and non-avian predators, they may contribute to the transfer of MAW to higher trophic levels.

Concentrations, characteristics, influencing factors, and interactions of indoor and outdoor microplastics during the hot season at the intersection between tropical and subtropical zones

Recent studies have indicated that high temperature increased outdoor microplastics (MPs) concentrations at the intersection between tropical and subtropical zones. However, it remains unclear whether this affects indoor MP concentrations and which factors change the association between indoor and outdoor MPs. This study investigated the impact of high temperatures on both indoor and outdoor MPs during the hot seasons in this climate zones and identified factors, including air pollutants, temperature, relative humidity, and occupant activities, that affect the association. The predominant shapes, size ranges, and polymer compositions of both indoor and outdoor MPs were fragments (> 50 %), 3 to 50 μm (> 75 %), and polyamide and poly(ethylene oxide) (> 80 %), respectively. The average indoor and outdoor MP concentrations were 8.0 ± 10.7 particles/m3 and 10.9 ± 14.1 particles/m3, respectively, showing a significant correlation. Outdoor temperature was positively associated with outdoor MP concentration. Smaller sizes of MPs were observed in outdoor air than that in indoor air. Additionally, electric fan operation significantly increased the ratios of indoor and outdoor MP concentrations. These results highlight the significant role of thermal exposure in influencing outdoor MP concentrations, with outdoor air being an important contributor to indoor MPs in this climate zones. Additionally, electric fan operation further affects the relationship between indoor and outdoor MP concentrations. More research is necessary to investigate whether thermal exposure increases the risk of MPs exposure via inhalation in this climate zones and to develop appropriate heat adaptation measures for improving indoor air quality.

Atmospheric deposition of microplastics in urban, rural, forest environments: A case study of Thulamela Local Municipality

Microplastic (MP) pollution, a pressing environmental issue globally, has received considerable attention in marine, freshwater and terrestrial environments. However, studies on the deposition of airborne MPs, particularly in Southern African regions, have received less attention. As such, the current study aimed at investigating the atmospheric deposition of MPs across three different environments, namely urban, rural and forest in the Thulamela Local Municipality, Limpopo, South Africa. We hypothesised that MP deposition will exhibit significant differences between different environments, with the urban environment having the highest MP deposition fluxes due to the dense population in the area and high human activities. The study results showed that MP deposition fluxes varied significantly across the environments, ranging from 90.51 ± 15.19 - 355.64 ± 47.65 particles/m2/day, with an overall average of 211.87 ± 31.44 particles/m2/day. The highest deposition was recorded in urban environment, while the lowest was observed in the forested environment. The overall deposited MPs were mainly transparent fibres and polyethylene terephthalate (PET). Furthermore, MP deposition found in the forest environment demonstrated a strong positive correlation with rainfall, suggesting that rainfall events play a significant role in the transporting and deposition of MP. The study further shed light on the possible fate of urban and rural atmospheric deposition, which has implications for pristine environments, indicating the transport and potential ecological impacts of MP pollution even in less populated and isolated environments.

Assessing the impact of marine litter hotspot on atmospheric microplastics: A study of a coastal village

Marine litter and microplastics (MPs) represent pressing environmental challenges. However, the impact of marine litter on airborne MPs near marine litter hotspot remains unexplored. In this study, we simultaneously collected airborne MPs, weather factors, and air pollutants in a village near a marine litter hotspot across different seasons in Taiwan. Multiple methods were employed to evaluate whether the marine litter hotspot was a source of airborne MPs. The average MP concentration was 1.35 ± 1.33 particles/m³, with the highest concentration recorded in spring (3.06 ± 1.63 particles/m³) and the lowest in winter (0.61 ± 0.49 particles/m³). The dominant shapes and size ranges of MPs were fragment and 3-50 μm, respectively. The major polymer composition of the MPs was identified as polyamide. Wind rose, bivariate polar plot, and backward trajectories illustrated that the air mass passing through the marine litter hotspot exhibited higher MP concentrations in the study area in spring, fall, and winter. Factor analysis suggested that thermal and ultraviolet (UV) light exposure induced the emission of MPs from plastic items. In contrast, local activities may be a source of MPs in the study area during summer. Overall, this study revealed that higher MP concentrations were observed in the village near marine litter hotspot when the predominant directions from marine litter hotspot, with thermal and UV light exposure being the degradation mechanisms. This study also highlighted the need to reduce marine litter to mitigate MP pollution near hotspots in the atmosphere.

Microplastic and microfiber contamination in the Tiber River, Italy: Insights into their presence and chemical differentiation

Microplastics (MPs) are an emerging environmental concern, but studies on these contaminants, particularly in river ecosystems, remain scarce. Research has indicated that MPs in the environment are predominantly microfibers (MFs); however, a few studies suggest that the MFs encountered are chiefly of natural origin. In this study, we aimed to improve the understanding of MP/MFs (both plastic and natural), among microparticle (solid particles >10 μm to <5000 μm; mainly of plastic as well as natural origin) loads in the Tiber River, Italy, by analyzing the physicochemical properties of surface water and assessing the abundance and characteristics of MPs-MFs at three sites: Ponte Grillo, Aniene, and Magliana, along a 60 km stretch. MPs-MFs were visually inspected with a stereomicroscope and a fluorescence microscope and chemically characterized by FTIR. Interestingly, MP-MF concentrations were highest upstream at Ponte Grillo and lowest downstream at Magliana, an unconventional pattern likely related to atmospheric deposition and total suspended solids. Across sites, microparticles were mainly MFs, with MP fragments forming a minor fraction; at Ponte Grillo, Aniene, and Magliana, the MF abundances were 375.1, 58.1, and 28.8 items/L, respectively, while fragment abundances were 32.7, 14.4, and 4.8 items/L, respectively. At all sites, natural MFs (cellulose-based) were more prevalent than plastic ones (petroleum-based). The highest proportion of petroleum-based MFs, primarily PET, was observed at Magliana. Our findings indicate that although MPs-MFs in rivers stem from textile wear, laundry effluent, and WWTPs, atmospheric deposition is a dominant pathway, especially in remote, upstream, sparsely populated regions.

Unveiling the mechanism of micro-and-nano plastic phytotoxicity on terrestrial plants: A comprehensive review of omics approaches

Micro-and-nano plastics (MNPs) are pervasive in terrestrial ecosystems and represent an increasing threat to plant health; however, the mechanisms underlying their phytotoxicity remain inadequately understood. MNPs can infiltrate plants through roots or leaves, causing a range of toxic effects, including inhibiting water and nutrient uptake, reducing seed germination rates, and impeding photosynthesis, resulting in oxidative damage within the plant system. The effects of MNPs are complex and influenced by various factors including size, shape, functional groups, and concentration. Recent advancements in omics technologies such as proteomics, metabolomics, transcriptomics, and microbiomics, coupled with emerging technologies like 4D omics, phenomics, spatial transcriptomics, and single-cell omics, offer unprecedented insight into the physiological, molecular, and cellular responses of terrestrial plants to MNPs exposure. This literature review synthesizes current findings regarding MNPs-induced phytotoxicity, emphasizing alterations in gene expression, protein synthesis, metabolic pathways, and physiological disruptions as revealed through omics analyses. We summarize how MNPs interact with plant cellular structures, disrupt metabolic processes, and induce oxidative stress, ultimately affecting plant growth and productivity. Furthermore, we have identified critical knowledge gaps and proposed future research directions, highlighting the necessity for integrative omics studies to elucidate the complex pathways of MNPs toxicity in terrestrial plants. In conclusion, this review underscores the potential of omics approaches to elucidate the mechanisms of MNPs-phytotoxicity and to develop strategies for mitigating the environmental impact of MNPs on plant health.

Spatial and seasonal variations of atmospheric microplastics in high and low population density areas at the intersection of tropical and subtropical regions

There is limited information regarding spatial and seasonal variations of atmospheric microplastics (MPs) and factors influencing MPs at the intersection of tropical and subtropical regions. A one-year study was conducted at sites in a high-population-density village (HPDV) and a low-population-density village (LPDV) in Taiwan to investigate the characteristics and influencing factors of airborne MPs. The predominant shapes, sizes, and polymer compositions of MPs were fragments, 3 to 25 and 26-50 μm, and polyamide at both sites. Seasonal variation in MP morphologies was not significant. Average MP concentrations were 2.20 ± 2.97 particles/m3 and 1.92 ± 2.35 particles/m3 at the HPDV and LPDV sites, respectively, and did not differ significantly. Higher concentrations and smaller sizes of MPs were found during the summer at both sites, while the predominant wind direction was southerly or southwesterly. In samples with temperatures exceeding 25 °C, the temperature was positively associated with MP concentrations at both the HPDV and LPDV sites. These results reflect that temperature influences the variations in the concentrations and sizes of MPs at our study site. Future research should consider the adverse risks of MP inhalation during the hot season. Moreover, when sites with different population densities and levels of human activity are closed, MP concentrations will not differ significantly between these areas since airflow can transport these particles from high-population-density areas into low-population-density areas in a short time.

Machine learning based workflow for (micro)plastic spectral reconstruction and classification

With the advancement of artificial intelligence, it is foreseeable that computer-assisted identification of microplastics (MPs) will become increasingly widespread. Therefore, exploring a machine learning-based workflow to facilitate the identification of MPs is both meaningful and practically significant. However, interferences present in MPs spectra often compromise identification accuracy, making the improvement of spectral quality a critical prerequisite for precise identification. This study developed a fully machine learning-based workflow that combines spectral reconstruction and identification of MPs. To enhance the quality of MPs spectra, two reconstruction models named autoencoders (AE) and V-like convolutional neural networks (VCNN) were employed. Then, four classification models including decision tree, random forest, linear support vector machines (LSVM) and 1D convolutional neural networks were developed to accurately identify MPs. In terms of reconstruction, VCNN outperformed AE with a higher R2 value of 0.965, while both models outperformed conventional widely used Savitzky-Golay algorithm. For classification, LSVM exhibited the best performance with an overall accuracy of 91.35% on the original dataset and 98.00% on the VCNN-reconstructed dataset. When applied to real environmental datasets, a slight decrease in performance was observed, but a maximum top-1 accuracy of 71.43% and top-3 accuracy of >90% was still practically significant, indicating that the combined workflow has great potential for spectral reconstruction and identification of MPs.

Microplastics in ecosystems: Critical review of occurrence, distribution, toxicity, fate, transport, and advances in experimental and computational studies in surface and subsurface water

Microplastics (MPs), particles under 5 mm, pervade water, soil, sediment, and air due to increased plastic production and improper disposal, posing global environmental and health risks. Examining their distribution, quantities, fate, and transport is crucial for effective management. Several studies have explored MPs' sources, distribution, transport, and biological impacts, primarily focusing on the marine environment. However, there is a need for a comprehensive review of all environmental systems together for enhanced pollution control. This review critically examines the occurrence, distribution, fate, and transport of MPs in the following environments: freshwater, marine, and terrestrial ecosystems. The concentration of MPs is highly variable in the environment, ranging from negligible to significant amounts (0.003-519.223 items/liter in water and 0-18,000 items/kg dry weight sediment, respectively). Predominantly, these MPs manifest as fibers and fragments, with primary polymer types including polypropylene, polystyrene, polyethylene, and polyethylene terephthalate. A complex interplay of natural and anthropogenic actions, including wastewater treatment plant discharges, precipitation, stormwater runoff, inadequate plastic waste management, and biosolid applications, influences MPs' presence and distribution. Our critical synthesis of existing literature underscores the significance of factors such as wind, water flow rates, settling velocities, wave characteristics, plastic morphology, density, and size in determining MPs' transport dynamics in surface and subsurface waters. Furthermore, this review identifies research gaps, both in experimental and simulation, and outlines pivotal avenues for future exploration in the realm of MPs.

First evidence of microplastic inhalation among free-ranging small cetaceans

Plastic is a ubiquitous environmental contaminant, resulting in widespread exposure across terrestrial and marine spaces. In the environment, plastics can degrade into microparticles where exposure has been documented in a variety of fauna at all trophic levels. Human epidemiological studies have found relationships between inhaled microplastics and oxidative stress and inflammation. Previous studies of bottlenose dolphins (Tursiops truncatus) have reported prevalent exposure to plasticizing chemicals (e.g., phthalates) as well as particle loads in gastrointestinal tracts, but exposure from inhalation has not yet been studied. The objective of this study was to determine if inhalation is a viable route of microplastic exposure for free-ranging dolphins. Exhalation samples were opportunistically collected from dolphins residing in Sarasota Bay, Florida (n = 5) and Barataria Bay, Louisiana (n = 6) during catch-and-release health assessments to screen for microplastic particles. All dolphin samples contained at least one suspected microplastic particle, and polymer composition was determined for 100% of a subset (n = 17) of samples. Additional studies are warranted to better understand the extent of inhaled microplastics, as well as to explore impacts, given potential risks to lung function and health.

A review on advancements in atmospheric microplastics research: The pivotal role of machine learning

Microplastics (MPs), recognized as emerging pollutants, pose significant potential impacts on the environment and human health. The investigation into atmospheric MPs is nascent due to the absence of effective characterization methods, leaving their concentration, distribution, sources, and impacts on human health largely undefined with evidence still emerging. This review compiles the latest literature on the sources, distribution, environmental behaviors, and toxicological effects of atmospheric MPs. It delves into the methodologies for source identification, distribution patterns, and the contemporary approaches to assess the toxicological effects of atmospheric MPs. Significantly, this review emphasizes the role of Machine Learning (ML) and Artificial Intelligence (AI) technologies as novel and promising tools in enhancing the precision and depth of research into atmospheric MPs, including but not limited to the spatiotemporal dynamics, source apportionment, and potential health impacts of atmospheric MPs. The integration of these advanced technologies facilitates a more nuanced understanding of MPs' behavior and effects, marking a pivotal advancement in the field. This review aims to deliver an in-depth view of atmospheric MPs, enhancing knowledge and awareness of their environmental and human health impacts. It calls upon scholars to focus on the research of atmospheric MPs based on new technologies of ML and AI, improving the database as well as offering fresh perspectives on this critical issue.

Atmospheric microplastic deposition associated with GDP and population growth: Insights from megacities in northern China

Microplastic (MP) pollution is evolving into one of the most pressing environmental concerns worldwide. This study assessed the impact of economic activities on atmospheric MP pollution across 17 megacities in northern China, analyzing the correlation between the deposition flux of atmospheric MPs and variables such as city population, gross domestic product (GDP), and industrial structure. The results have shown that the MP pollution is obviously impacted by human activities related to increased GDP, population, as well as tertiary service sector, in which the MP pollution shows most close relationship with the GDP growth. Polypropylene, polyamide, polyurethane, and polyethylene were identified as the primary components of atmospheric MPs. The average particle size of MPs in atmospheric dustfall is 78.3 µm, and the frequency of MP particles increases as the particle size decreases. The findings highlight the complex relationship between socio-economic development and atmospheric MP accumulation, providing essential insights for the formulation of targeted emission reduction strategies.

Micro(nano)plastics in human urine: A surprising contrast between Chongqing's urban and rural regions

Microplastics (100 nm-5 mm) and nanoplastics (<100 nm) collectively referred to as micro(nano)plastics (MNPs), which are emerging pollutants all over the world. Environmental differences affect its distribution. The content of MNPs differs between urban and rural environments, according to previous studies. To understand the actual situation of human exposure to MNPs in various environments, this study collected 12 urine samples from volunteers in urban and rural regions of Chongqing and used pyrolysis-gas chromatography/mass spectrometry (Py-GC/MS) and laser direct infrared spectroscopy (LDIR) to detect and analyze MNPs in urine. With an average abundance of 1.50 (2.31) mg/kg, MNPs were found in 9 samples by Py-GC/MS. Polyethylene (PE), polyvinyl chloride (PVC) and polyamide 66 (PA66), three different types of MNPs were found, with PE content being the highest among them. By using LDIR, MNPs were found in 7 samples, with an average abundance of 15.17 (23.13) particles/kg. Five different types of MNPs were found, with acrylates (ACR) being the main type, followed by polymethylmethacrylate (PMMA), polyurethane (PU), polypropylene (PP), polyethylene terephthalate (PET). The findings demonstrated that urban region had much greater levels and more types of MNPs in human urine than rural. Additionally, regular contact with plastic toys and the use of personal care products are linked to the presence of MNPs. The influence of environmental factors on the actual exposure of the human body to MNPs was preliminary explored in this study, and two different methods were used for the first time to simultaneously detect and analyze MNPs in human urine. This allowed for the feasibility of comprehensively and effectively quantitatively analyzing the actual exposure of the human body to MNPs, and also provided the theoretical foundation for further research on the harm of MNPs to human health in different environments.

COVID lockdown significantly impacted microplastic bulk atmospheric deposition rates

Here, microplastic atmospheric deposition data collected at an urban site during the French national lockdown of spring 2020 is compared to deposition data from the same site in a period of normal activity. Bulk atmospheric deposition was collected on the vegetated roof of a suburban campus from the Greater Paris and analysed for microplastics using a micro-FTIR imaging methodology. Significantly lower deposition rates were measured overall during the lockdown period (median 5.4 MP m-2.d-1) than in a period of normal activity in spring 2021 (median of 29.2 MP m-2.d-1). This difference is however not observed for the smallest microplastic size class. The dominant polymers identified were PP, followed by PE and PS. Precipitation alone could not explain the differences between the two campaigns, and it is suggested that the temporary drop in human activity during lockdown is the primary cause of the reduced deposition rates. This study provides novel insight on the immediate impact of human activities on atmospheric microplastics, thus enhancing the global understanding on this topic.

Robinia pseudoacacia L. (Black Locust) Leaflets as Biomonitors of Airborne Microplastics

Here we investigate the suitability of Robinia pseudoacacia L. (black locust) leaflets as a novel biomonitor of airborne microplastics (MPs) including tyre wear particles (TWPs). Leaflets were collected from rural roadside locations (ROs, n = 5) and urban parks (UPs, n = 5) in Siena, Italy. MPs were removed by washing, identified by stereomicroscope, and analysed for polymer type by Fourier transform infrared spectroscopy. Daily MP deposition was estimated from leaf area. The mass magnetic susceptibility and the bioaccumulation of traffic-related potentially toxic elements (PTEs) were also analysed. The total number of MPs at ROs was significantly higher at 2962, dominated by TWPs, compared with 193 in UPs, where TWPs were not found. In contrast, total microfibres were significantly higher in UPs compared with ROs (185 vs. 86). Daily MP deposition was estimated to range from 4.2 to 5.1 MPs/m2/d across UPs and 29.9-457.6 MPs/m2/d across ROs. The polymer types at ROs were dominated by rubber (80%) from TWPs, followed by 15% polyamide (PA) and 5% polysulfone (PES), while in UPs the proportion of PES (44%) was higher than PA (22%) and polyacrylonitrile (11%). The mean mass magnetic susceptibility, a proxy of the bioaccumulation of traffic-related metallic particles, was higher at ROs (0.62 ± 0.01 10-8 m3/kg) than at UPs (-0.50 ± 0.03 10-8 m3/kg). The content of PTEs was similar across sites, except for significantly higher concentrations of Sb, a tracer of vehicle brake wear, at ROs (0.308 ± 0.008 µg/g) compared with UPs (0.054 ± 0.006 µg/g). Our results suggest that the waxy leaflets and easy determination of surface area make Robinia an effective biomonitor for airborne MPs including TWPs.

Occurrence, characteristics, and factors influencing the atmospheric microplastics around Jiaozhou Bay, the Yellow Sea

Atmospheric microplastics are attracting increasing attention as an emerging pollutant. However, research on its characteristics and influencing factors is insufficient. This study examines the characteristics and spatiotemporal distribution of atmospheric microplastics around Jiaozhou Bay, the Yellow Sea. The results showed that the dominant shapes of microplastic were fragments (61.9 %) and fibers (25.6 %), and the main types were polyethylene terephthalate (23.8 %), polyethylene (31.6 %) and cellulose (rayon, 34.9 %). The deposition rate of microplastic varied from 8.395 to 80.114 items·m-2·d-1, with a mean of 46.708 ± 21.316 items·m-2·d-1. The deposition rate was higher in the dry season than in the rainy season, indicating the influence of weather condition. The annual mass of atmospheric microplastics entering the bay was estimated to be 7.612 ± 3.474 tons. For the first time, this study reveals that atmospheric microplastics in Jiaozhou Bay change spatiotemporally due to monsoons, which pose a potential threat to marine ecosystems.