Characterization of fine particulate matter in ambient air by combining TEM and multiple spectroscopic techniques – NMR, FTIR and Raman spectroscopy

2015 ◽  
Vol 17 (3) ◽  
pp. 552-560 ◽  
Author(s):  
Zhurun Ji ◽  
Rucheng Dai ◽  
Zengming Zhang

We report a study of the microstructures and spectroscopic characteristics of PM2.5and its potential sources in Beijing by combining transmission electron microscopy and multiple spectroscopic techniques: nuclear magnetic resonance, Fourier transform infrared and Raman spectroscopy.

2001 ◽  
Vol 32 ◽  
pp. 353-354
Author(s):  
E. BRÜGGEMANN ◽  
T. GNAUK ◽  
K. MULLER ◽  
H. HERRMANN

2021 ◽  
Vol 96 ◽  
pp. 11-18 ◽  
Author(s):  
Yishu Xu ◽  
Xiaowei Liu ◽  
Jiuxin Qi ◽  
Tianpeng Zhang ◽  
Jingying Xu ◽  
...  

Fuel ◽  
2017 ◽  
Vol 206 ◽  
pp. 555-563 ◽  
Author(s):  
Xueqiu He ◽  
Xianfeng Liu ◽  
Baisheng Nie ◽  
Dazhao Song

Author(s):  
Jiyoung Shin ◽  
Jongmin Oh ◽  
In Sook Kang ◽  
Eunhee Ha ◽  
Wook Bum Pyun

Background/Aim: Previous studies have suggested that the short-term ambient air pollution and temperature are associated with myocardial infarction. In this study, we aimed to conduct a time-series analysis to assess the impact of fine particulate matter (PM2.5) and temperature on acute myocardial infarction (AMI) among adults over 20 years of age in Korea by using the data from the Korean National Health Information Database (KNHID). Methods: The daily data of 192,567 AMI cases in Seoul were collected from the nationwide, population-based KNHID from 2005 to 2014. The monitoring data of ambient PM2.5 from the Seoul Research Institute of Public Health and Environment were also collected. A generalized additive model (GAM) that allowed for a quasi-Poisson distribution was used to analyze the effects of PM2.5 and temperature on the incidence of AMI. Results: The models with PM2.5 lag structures of lag 0 and 2-day averages of lag 0 and 1 (lag 01) showed significant associations with AMI (Relative risk [RR]: 1.011, CI: 1.003–1.020 for lag 0, RR: 1.010, CI: 1.000–1.020 for lag 01) after adjusting the covariates. Stratification analysis conducted in the cold season (October–April) and the warm season (May–September) showed a significant lag 0 effect for AMI cases in the cold season only. Conclusions: In conclusion, acute exposure to PM2.5 was significantly associated with AMI morbidity at lag 0 in Seoul, Korea. This increased risk was also observed at low temperatures.


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