Characterizing Chemical, Environmental, and Stimulated Subcellular Physical Characteristics of Size-Fractionated PMs Down to PM_0.1

Environmental Science & Technology, Год журнала: 2024, Номер 58(28), С. 12368 - 12378

Опубликована: Июль 4, 2024

Air pollution, especially particulate matter (PM), is a significant environmental pollution worldwide. Studying the chemical, environmental, and life-related cellular physical characteristics of size-fractionated PMs important because their different degrees harmful effects on human respiratory tracts organ systems, causing severe diseases. This study evaluates chemical components down to PM

Язык: Английский

---

Variation of PM_2.5 Redox Potential and Toxicity During Monsoon in Delhi, India

ACS ES&T Air, Год журнала: 2024, Номер 1(4), С. 316 - 329

Опубликована: Фев. 22, 2024

This study investigates daily variations in redox potential of water- and organic-soluble PM2.5 during Delhi's monsoon season, offering insights into its chemical composition, cytotoxicity, oxidative threat to various lung conditions. samples, categorized by pollution levels, showed an average intrinsic (OPmDTT) 27.5 pmol min–1 μg–1, OH• generation 51.1 antioxidant capacity (AOC) both gallic acid trolox equivalency 62.5 35.3 respectively. Water-soluble redox-active compounds (RACs) contributed approximately 67% the potential. The polar-phase distribution RACs can be modified atmospheric photochemistry precipitation. Biomass burning emerged as a pivotal source, with polluted samples exhibiting higher cytotoxicity stress A549 cells. All impaired cellular respiration, reducing oxygen consumption rates Intrinsic OPmDTT were influenced fluid variants, such exogenous nicotine endogenous inflammatory protein. provides comprehensive perspective on toxicity Delhi, India distinct periods also points out importance considering population disparities individual health status assessing impacts.

Язык: Английский

---

Enhancing Seasonal PM2.5 Estimations in China through Terrain–Wind–Rained Index (TWRI): A Geographically Weighted Regression Approach

Remote Sensing, Год журнала: 2024, Номер 16(12), С. 2145 - 2145

Опубликована: Июнь 13, 2024

PM2.5 concentrations, closely linked to human health, are significantly influenced by meteorological and topographical factors. This study introduces the Terrain–Wind–Rain Index (TWRI), a novel index that integrates Terrain–Wind Closed (TWCI) with relative humidity quantitatively examine coupling effect of natural elements on concentration its application inversion. By employing Geographically Weighted Regression (GWR) models, this evaluates inversion results concentrations using TWRI as factor. Results reveal annual average correlation between site-measured increased from 0.65 0.71 compared TWCI. Correlations improved across all seasons, most significant enhancement occurring in summer, 0.51 0.66. On PM2.5, integrating into traditional models boosted accuracy 1.3%, 5.4%, 4%, 7.9% four primarily due varying PM2.5. Furthermore, coupled more effectively highlight high value areas closed low humid areas.

Язык: Английский

---

Spatiotemporal distribution of oxidative potential in PM2.5 and its key components across six Chinese cities

Journal of Hazardous Materials, Год журнала: 2024, Номер 476, С. 135119 - 135119

Опубликована: Июль 6, 2024

Язык: Английский

---

The influence of PM2.5 exposure duration and concentration on outpatient visits of urban hospital in a typical heavy industrial city

Environmental Science and Pollution Research, Год журнала: 2023, Номер 30(54), С. 115098 - 115110

Опубликована: Окт. 25, 2023

Язык: Английский

---

Behavior Variability of Source-Specific Toxic Components in the Respiratory Tract: Coeffects of Size Distribution, Phase Partitioning, and Particulate Matter Composition

Environmental Science & Technology, Год журнала: 2025, Номер unknown

Опубликована: Март 19, 2025

Particulate matter (PM) exhibits diverse characteristics (such as chemical composition, size) that influence its interactions with the human body and associated health risks. Limited knowledge of toxic components' behaviors in respiratory system hinders understanding source-specific This study developed a source apportionment mass transfer coupling method to model assess risk. Analysis modeling 93 components nine-stage PM gas samples from Chinese megacity, revealed potential elements different sources primarily deposited pulmonary region (PR) or dissolved upper (UR) tracheobronchial (TR) tracts. High-volatility -solubility organics readily UR TR, while low-volatility accumulated PR. Industrial emissions dominated cancer risks across regions (incremental lifetime risk: 1.04 × 10-5 UR), coal combustion, industrial emissions, resuspended dust contributed noncancer Arsenic posed significant PR due accumulation finer sizes, traffic-emitted showed high fractions strong absorption by carbonaceous components. provides novel insights into how

Язык: Английский

---

Aerosol Toxicokinetics: A Framework for Unraveling Toxicological Dynamics from Air to the Body

Environmental Science & Technology, Год журнала: 2025, Номер unknown

Опубликована: Март 25, 2025

Exposure to atmospheric aerosols threatens human health and is yet be effectively addressed globally. Aerosol toxicity strongly depends upon components whose chemical profiles concentrations can constantly evolve throughout transformation, inhalation, distribution, metabolism, excretion. Despite the abundant studies on aerosol their toxic effects, dynamics in component related biological effects from air body remain unclear. Here, we propose a conceptual toxicokinetic framework mathematically deduce bioavailable concentration changing bulk of constituents atmosphere. The single or multiple are further predicted via toxicodynamic modeling according concentrations. Atmospheric composition turn regulated by risk-based guidelines, aiming alleviate vivo effects. This perspective demonstrates how serial toxicokinetic-toxicodynamic equations bridge knowledge gap between ambient associated bodies. prediction an inhalation also allows connecting with exposomes aggregate exposure pathways. We call for development model validity integrate quantitative adverse outcome pathways apply exposure-disease modeling, providing novel insights into quality policymaking public management.

Язык: Английский

---

PM2.5 exacerbates nasal epithelial barrier dysfunction in allergic rhinitis by inducing NLRP3-mediated pyroptosis via the AhR/CYP1A1/ROS axis

Journal of Hazardous Materials, Год журнала: 2025, Номер unknown, С. 138145 - 138145

Опубликована: Апрель 1, 2025

Язык: Английский

---

Quantifying regional transport contributions to PM2.5-bound trace elements in a southeast coastal island of China: Insights from a machine learning approach

Environmental Pollution, Год журнала: 2025, Номер 377, С. 126448 - 126448

Опубликована: Май 13, 2025

Язык: Английский

---

Particle Number Size Distribution in Three Different Microenvironments of London

Atmosphere, Год журнала: 2023, Номер 15(1), С. 45 - 45

Опубликована: Дек. 29, 2023

We estimated the particle number distributions (PNDs), concentrations (PNCs), physicochemical characteristics, meteorological effects, and respiratory deposition doses (RDD) in human tract for three different modes: nucleation (N6–30), accumulation (N30–300), coarse (N300–10,000) modes. This study was conducted microenvironments (MEs) London (indoor, IN; traffic intersection, TI; park, PK) measuring particles range of 6 nm–10,000 nm using an electrical low-pressure impactor (ELPI+). Mean PNCs were 1.68 ± 1.03 × 104 #cm−3, 7.00 18.96 0.76 0.95 #cm−3 at IN, TI, PK, respectively. The PNDs high nucleation-mode TI site, especially during peak hours. Wind speeds ranging from 0 to ms−1 exhibit higher nucleation- accumulation-mode PK sites. Physicochemical characterisation shows trace metals, including Fe, O, inorganic elements, that embedded a matrix organic material some samples. Alveolar RDD modes than coarse-mode particles. chemical signatures indicate varied sources MEs. These findings enhance our understanding profiles each ME should help devise ways reducing personal exposure ME.

Язык: Английский

---