Diurnal trends of indoor and outdoor fluorescent biological aerosol particles in a tropical urban area

Li, Jiayu; Sultan, Zuraimi; Schiavon, Stefano; Wan, Man Pun; Xiong, Jinwen; Tham, Kwok Wai

doi:10.1016/j.scitotenv.2022.157811

Cited by 15 publications

(3 citation statements)

References 71 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Such an exposure assessment could have resulted in some degrees of exposure misclassification [ 37 ]. The indoor upon outdoor ratios of PM can be impacted by the air filtration systems [ 38 ], the number of occupants and their behaviours (like smoking), and building types [ 39 , 40 ]. Hence, the measured outdoor PM levels may or may not be representative of what those women were exposed to during the pregnancy period.…”

Section: Discussionmentioning

confidence: 99%

The association of in-utero exposure to air pollution and atherogenic index of plasma in newborns

Seidkhani-Nahal,

Heydari,

Tavakolian

et al. 2024

Environ Health

View full text Add to dashboard Cite

Background Prenatal exposure to particulate matter (PM) and traffic was associated with the programming of cardiovascular diseases (CVDs) in early life. However, the exact underlying mechanisms are not fully understood. Therefore, we aimed to evaluate the association between in-utero exposure to PMs and traffic indicators with the atherogenic index of plasma (AIP) in newborns, which is a precise index reflecting an enhancement of lipid risk factors for CVDs. Methods In this cross-sectional study, a total of 300 mother-newborn pairs were enrolled in Sabzevar, Iran. Spatiotemporal land-use regression models were used to estimate the level of PM1, PM2.5 and PM10 at the mother's residential address. The total length of streets in different buffers (100,300 and 500m) and proximity to major roads were calculated as indicators of traffic. The AIP of cord blood samples was calculated using an AIP calculator. Multiple linear regression models were used to examine the association of PM concentrations as well as traffic indicators with AIP controlled for relevant covariates. Results PM2.5 exposure was significantly associated with higher levels of AIP in newborns. Each interquartile range (IQR) increment of PM2.5 concentration at the mothers' residential addresses was associated with a 5.3% (95% confidence interval (CI): 0.0, 10.6%, P = 0.04) increase in the AIP. Associations between PM1, PM10 and traffic indicators with cord blood level of AIP were positive but not statistically significant. Conclusion Our findings showed that in utero exposure to PM2.5 may be associated with CVDs programming through the increase of atherogenic lipids.

show abstract

Section: Discussionmentioning

confidence: 99%

The association of in-utero exposure to air pollution and atherogenic index of plasma in newborns

Seidkhani-Nahal,

Heydari,

Tavakolian

et al. 2024

Environ Health

View full text Add to dashboard Cite

show abstract

“…The slightly higher DNA damage that we observed in newborns can be explained by the existing report of less nucleotide excision repair and fewer antioxidant abilities in newborns compared to mothers [ 56 , 57 ]. It is important to mention that there are many factors that can affect the estimation of personal exposure to pollutants, such as the time spent indoors [ 58 ], the type of building [ 59 ], the air filtration system [ 60 ], the occupancy [ 61 ], and the interior sources (such as cooking) [ 62 ]. In our study, we found that most of the mothers’ work and workplaces are very close to their place of residence and that all mothers lived inside Mexico City, and we did not observe differences between the time they spent working, so the monitor closest to their place of residence was assigned to each mother.…”

Section: Discussionmentioning

confidence: 99%

Effect of Air Pollution on the Basal DNA Damage of Mother–Newborn Couples of México City

Valverde,

Granados,

Milić

et al. 2023

Toxics

View full text Add to dashboard Cite

Environmental pollution of megacities can cause early biological damage such as DNA strand breaks and micronuclei formation. Comet assay tail length (TL) reflects exposure in the uterus to high levels of air pollution, primarily ozone and air particles (PM10), including mothers’ smoking habits during pregnancy, conditions which can lead to low birth weight. In this biomonitoring study, we evaluated basal DNA damage in the cord blood cells of newborn children from Mexico City. We found a correlation between DNA damage in mothers and their newborns, including various parameters of environmental exposure and complications during pregnancy, particularly respiratory difficulties, malformations, obstetric trauma, neuropathies, and nutritional deficiencies. Mothers living in the southern part of the city showed double DNA damage compared to those living in the northern part (TL 8.64 μm vs. 4.18 μm, p < 0.05). Additionally, mothers’ DNA damage correlates with exposure to NOx (range 0.77–1.52 ppm) and PM10 (range 58.32–75.89 μg/m3), as well maternal age >29. These results highlight the sensitivity of the comet assay in identifying differential in utero exposure for newborns whose mothers were exposed during pregnancy. They also suggest the importance of antioxidants during pregnancy and the role of the placental barrier in protecting the newborn from the DNA-damaging effects of oxidative pollution.

show abstract

“…Most of the features presented above are correlated, with some having strong relationships while others have weaker linkages. The diurnal trends and associated variations among indoor environmental parameters have been studied by researchers globally [ 52 , 53 , 54 ].…”

Section: Introductionmentioning

confidence: 99%

Event-Specific Transmission Forecasting of SARS-CoV-2 in a Mixed-Mode Ventilated Office Room Using an ANN

Kapoor

Kumar

et al. 2022

IJERPH

View full text Add to dashboard Cite

The emerging novel variants and re-merging old variants of SARS-CoV-2 make it critical to study the transmission probability in mixed-mode ventilated office environments. Artificial neural network (ANN) and curve fitting (CF) models were created to forecast the R-Event. The R-Event is defined as the anticipated number of new infections that develop in particular events occurring over the course of time in any defined space. In the spring and summer of 2022, real-time data for an office environment were collected in India in a mixed-mode ventilated office space in a composite climate. The performances of the proposed CF and ANN models were compared with respect to traditional statistical indicators, such as the correlation coefficient, RMSE, MAE, MAPE, NS index, and a20-index, in order to determine the merit of the two approaches. Thirteen input features, namely the indoor temperature (TIn), indoor relative humidity (RHIn), area of opening (AO), number of occupants (O), area per person (AP), volume per person (VP), CO2 concentration (CO2), air quality index (AQI), outer wind speed (WS), outdoor temperature (TOut), outdoor humidity (RHOut), fan air speed (FS), and air conditioning (AC), were selected to forecast the R-Event as the target. The main objective was to determine the relationship between the CO2 level and R-Event, ultimately producing a model for forecasting infections in office building environments. The correlation coefficients for the CF and ANN models in this case study were 0.7439 and 0.9999, respectively. This demonstrates that the ANN model is more accurate in R-Event prediction than the curve fitting model. The results show that the proposed ANN model is reliable and significantly accurate in forecasting the R-Event values for mixed-mode ventilated offices.

show abstract

Diurnal trends of indoor and outdoor fluorescent biological aerosol particles in a tropical urban area

Cited by 15 publications

References 71 publications

The association of in-utero exposure to air pollution and atherogenic index of plasma in newborns

The association of in-utero exposure to air pollution and atherogenic index of plasma in newborns

Effect of Air Pollution on the Basal DNA Damage of Mother–Newborn Couples of México City

Event-Specific Transmission Forecasting of SARS-CoV-2 in a Mixed-Mode Ventilated Office Room Using an ANN

Contact Info

Product

Resources

About