An optimally designed virtual impactor integrated with a quartz crystal microbalance sensor for submicron particulate matter classification and detection

Review of Scientific Instruments, Год журнала: 2025, Номер 96(2)

Опубликована: Фев. 1, 2025

Long-term exposure to particulate matter, especially submicron matter (PM1), poses significant health risks by inducing oxidative stress and inflammation. This paper reports an optimally designed virtual impactor (VI) integrated with a quartz crystal microbalance (QCM) sensor for the classification detection of PM1 particles. Computational fluid dynamics simulations were employed optimize included angles outlet size VI’s flow channels, minimizing eddy formation reducing airflow impact on sidewalls thereby enhancing durability VI. The VI was fabricated using 3D printing, its optimization effectiveness validated assessing particle wall loss. performance system examined classifying SiO2 particles ranging from 0.2 2 µm detecting QCM sensor. Results showed that after classification, majority in major channels PM1. frequency shift linear correlation mass deposited surface. Moreover, system’s found be comparable commercial instruments.

Язык: Английский

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Individual effects and interactions between ultrafine particles and extreme temperatures on hospital admissions of high burden diseases

Environment International, Год журнала: 2025, Номер 197, С. 109348 - 109348

Опубликована: Фев. 23, 2025

Язык: Английский

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Impact of Ambient Temperature on Respiratory Disease Hospitalization in Rural Wuwei, Northwest China

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Март 19, 2025

Respiratory diseases (RD) pose a significant public health challenge, particularly in vulnerable populations. However, the impact of ambient temperature on RD hospitalizations rural areas Northwest China remains understudied. this study aimed to investigate relationship between and hospitalization. In research, meteorological information hospitalization data Wuwei's area from 2011 2015 were integrated. Time series analysis was performed using distributed lag nonlinear model (DLNM). Furthermore, we conducted stratifed based gender age. Relative risk 95% confidence intervals used assess admission risk. The results show that damage caused by low gradually increased with increasing days, effect reached maximum at -20°C 7 days after (RR = 1.313, CI: 1.257–1.371). For temperature, cumulative greater 0–7 3.162, 2.918–3.427) than other days. cold effect, RR extreme moderate day lags 1.822 (95% 1.732–1.917) 1.217 1.200-1.233), respectively. Subgroup demonstrated heightened vulnerability temperatures among males elderly individuals (≥ 65 years) compared females younger adults (< years). Conversely, higher had protective across all demographic groups. Extreme significantly admissions. male older people being more susceptible temperatures. These findings can inform development policies safeguarding populations mitigating burden RD.

Язык: Английский

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Differential inflammation, oxidative stress and cardiovascular damage markers of nano- and micro-particle exposure in mice: Implications for human disease burden

Redox Biology, Год журнала: 2025, Номер unknown, С. 103644 - 103644

Опубликована: Апрель 1, 2025

Язык: Английский

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Harnessing AI to unmask Copenhagen's invisible air pollutants: A study on three ultrafine particle metrics

Environmental Pollution, Год журнала: 2024, Номер 346, С. 123664 - 123664

Опубликована: Фев. 29, 2024

Ultrafine particles (UFPs) are airborne with a diameter of less than 100 nm. They emitted from various sources, such as traffic, combustion, and industrial processes, can have adverse effects on human health. Long-term mean ambient average particle size (APS) in the UFP range varies over space within cities, locations near sources having typically smaller APS. Spatial models for lung deposited surface area (LDSA) urban areas limited currently there is no model APS any European city. We collected number concentration (PNC), LDSA, data one-year monitoring campaign May 2021 to 2022 across 27 estimated annual Copenhagen, Denmark, obtained additionally PNC 6 state-owned continuous monitors. developed 94 predictor variables, machine learning (random forest bagged tree) were PNC, The were, respectively, 5523 pt/cm3, 12.0 μm2/cm3, 46.1 final R2 values by random (RF) 0.93 0.88 0.85 10-fold, repeated 10-times cross-validation 0.65, 0.67, 0.60 APS, respectively. root square error RF 296 0.48 1.60 nm Traffic-related length major roads buffers 100–150 m distance streets speed limits amongst highly-ranked predictors our models. Overall, ML achieved high low errors, providing insights into exposure city where quite low. These hyperlocal predictions be used study health UFPs Danish Capital.

Язык: Английский

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On the dose-response association of fine and ultrafine particles in an urban atmosphere: toxicological outcomes on bronchial cells at realistic doses of exposure at the Air Liquid Interface

Chemosphere, Год журнала: 2024, Номер unknown, С. 143417 - 143417

Опубликована: Сен. 1, 2024

Язык: Английский

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The impact of air pollution on asthma: clinical outcomes, current epidemiology, and health disparities

Expert Review of Respiratory Medicine, Год журнала: 2023, Номер 17(12), С. 1237 - 1247

Опубликована: Дек. 2, 2023

Introduction Air pollution has been shown to have a significant impact on morbidity and mortality of respiratory illnesses including asthma.

Язык: Английский

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Impacts of environmental factors on the aetiological diagnosis and disease severity of community-acquired pneumonia in China: A multicentre, hospital-based, observational study

Epidemiology and Infection, Год журнала: 2024, Номер 152

Опубликована: Янв. 1, 2024

Environmental exposures are known to be associated with pathogen transmission and immune impairment, but the association of aetiology severity community-acquired pneumonia (CAP) unclear. A retrospective observational study was conducted at nine hospitals in eight provinces China from 2014 2019. CAP patients were recruited according inclusion criteria, respiratory samples screened for 33 pathogens using molecular test methods. Sociodemographic, environmental clinical factors used analyze detection disease by logistic regression models combined distributed lag nonlinear models. total 3323 included, 709 (21.3%) having severe illness. 2064 (62.1%) positive least one pathogen. More found group. After adjusting confounders, particulate matter (PM) 2.5 8-h ozone (O

Язык: Английский

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Air pollution control and health economic burdens: evidence from a megacity in China from 2014 through 2022

Environmental Research, Год журнала: 2024, Номер unknown, С. 120392 - 120392

Опубликована: Ноя. 1, 2024

Язык: Английский

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Short-Term Exposure to Ultrafine Particles and Asthma Hospital Admissions in Children

Опубликована: Янв. 1, 2024

Background: Ultrafine particles (UFP; <0.1 µm in diameter) are not regulated or commonly monitored, but may be harmful to human health, particularly for children. In this study, we aimed examine the association between short-term exposure UFP and asthma hospital admissions children.Methods: Daily levels of (2002-2018) were monitored at an urban background station Copenhagen, Denmark. Asthma admissions, demographic, socio-economic information children (0-18 years) obtained from registries. We applied a case-crossover study design estimate up six preceding days all children, stratified by age, sex, family income, mother’s education, prior asthma, respiratory infection.Findings: observed 15,903 total. An interquartile range increase was significantly associated with strongest two-day means (risk ratio: 1·17 [95% confidence interval: 1·09, 1·25]). These associations remained unchanged when adjusting particulate matter <2·5 diameter (PM2·5) nitrogen dioxide (NO2), which also detected significant positive associations. Associations school-aged children.Interpretation: large low setting, find that can trigger independently PM2·5 NO2. This adds strong evidence calling regulation protect children’s health areas.Funding: funded Children’s Lung Foundation (Børnelungefonden) Novo Nordisk Challenge Programme [NNF 17OC0027812].Declaration Interest: All authors declare they have no conflicts interest.Ethical Approval: “All Danish register data used anonymized de-identified ensure privacy confidentiality individuals. As did involve direct interaction participants, obtaining informed consent applicable. However, use complies relevant protection regulations.”

Язык: Английский

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