Search

Air pollutants are important factors that contribute to the development and/or exacerbation of allergic inflammation accompanied by asthma, but experimental evidence still needs to be collected. Interleukin 33 (IL-33) is closely involved in the onset and progression of asthma. In this study, we examined the effects of particulate matter (PM) on IL-33 expression in macrophages. PM2.5 collected in Yokohama, Japan by the cyclone device significantly induced IL-33 expression in human THP-1 macrophages, and the induction was clearly suppressed by pretreatment with the aryl hydrocarbon receptor (AhR) antagonist CH-223191 or the Toll-like receptor 4 (TLR4) antagonist TAK-242. PM2.5-induced IL-33 expression was significantly attenuated in AhR-knockout or TLR4-mutated macrophages, suggesting an important role of polycyclic aromatic hydrocarbons (PAHs) and endotoxin in IL-33 stimulation. PM samples derived from tunnel dust slightly but significantly induced IL-33 expression, while road dust PM did not affect IL-33 expression. The PAH concentration in tunnel dust was higher than that in road dust. Tunnel dust or road dust PM contained less endotoxin than PM2.5 collected in Yokohama. These data suggest that the potency of IL-33 induction could depend on the concentration of PAHs as well as endotoxin in PMs. Caution regarding PAHs and endotoxin levels in air pollutants should be taken to prevent IL-33-induced allergic inflammation.

Plastic is a material that is widely used in everyday life. It can be degraded into small-sized fragments (< 5 mm) called microplastics (MPs). Research on MPs has primarily focused on the aquatic environment, while studies on airborne MPs (AMPs) are still in their early stages. In this study, AMPs at two locations (Bandung (Indonesia) and Osaka (Japan)) were characterized by attenuated total imaging and micro-Fourier transform infrared spectroscopy, as a preliminary study. The concentrations of AMPs in total suspended particulates (TSP) in Bandung and Osaka ranged from 1.03 to 14.27 particles/m3 and from 0.63 to 3.29 particles/m3, respectively. AMPs in both locations were fragmented, with dominant Feret diameters ranging from 1 to 20 μm.

Changes in rainfall patterns due to climate change may accelerate the runoff of sulfate (SO42−), which is anthropogenically emitted and deposited as an air pollutant, cycled in forest ecosystems, and partly accumulated in forest soils. A forested catchment on the Sea of Japan side in central Japan is significantly affected by transboundary air pollution from the Asian continent due to northwesterly seasonal winds in winter. In this study, intensive 24‐h observations were conducted every hour eight times from 2019 to 2020 to clarify changes in stream water quality and runoff processes during rainfall events. The pH, electrical conductivity, and SO42− concentration in stream water decreased with increasing hourly average discharge rate (L sec−1). The SO42− concentration was negatively correlated with discharge rate. Hydrograph separations using the water isotopic parameter (deuterium excess, d‐excess = δ2H – 8 × δ18O) showed that most of the stream flow during the rain events was derived from pre‐storm water. A significant negative correlation between the d‐excess and stream water discharge was found for all six events where the water isotope analysis was applied. However, the S isotope ratio (δ34S) in stream water was not correlated with discharge rate during rainfall events and was obviously different (>1.5‰) from rainwater δ34S in the same month. This suggests that rainwater SO42− during rainfall events did not directly flow to the stream but was retained in the forest ecosystem. The isotopically well homogenized internal SO42− appeared to be mainly released into the stream during rainfall events. Future climate change may further accelerate SO42− runoff from forest catchments and disrupt material cycles in the ecosystem if warming causes more intense rainfall. [ABSTRACT FROM AUTHOR]

The emission sources of fine particulate matter (PM2.5) have not yet been fully identified in Ho Chi Minh City (HCMC), Vietnam, presenting difficulties to authorities in controlling air pollution efficiently. To address this issue, this study explores the source apportionment of PM2.5 by the positive matrix factorization (PMF) model and identifies potential regional sources through the weighted concentration-weighted trajectory (WCWT) model based on the field observation data of PM2.5 in HCMC. 24-h PM2.5 samples were collected in central HCMC for a year (September 2019–August 2020). Herein, inductively coupled plasma mass spectroscopy was used to analyze trace elements, in addition to identifying PM2.5 mass and other chemical species, such as water-soluble ions and carbonaceous species, reported in our former study. The PMF results showed that PM2.5 in HCMC was dominated by anthropogenic-rich sources comprising biomass burning, coal combustion, transportation, and crustal origins (36.4% of PM2.5 mass), followed by secondary ammonium sulfate (18.4%), sea salt (13.7%), road dust (9.6%), and coal and crude oil combustion (9.4%). WCWT results suggested that the geological sources of PM2.5 were mainly from local areas and scattered to the northeast/southwest of HCMC. In addition, the long-range transport of PM2.5 from surrounding countries was revealed during the assembly restriction and lockdown period in 2020. [ABSTRACT FROM AUTHOR]