Risk of silicosis in cohorts of Chinese tin and tungsten miners and pottery workers (II): Workplace-specific silica particle surface composition

2005 ◽  
Vol 48 (1) ◽  
pp. 10-15 ◽  
Author(s):  
J. Harrison ◽  
J.-Q. Chen ◽  
W. Miller ◽  
W. Chen ◽  
E. Hnizdo ◽  
...  
Biomedicines ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 345
Author(s):  
Heba Al Housseiny ◽  
Madhu Singh ◽  
Shaneeka Emile ◽  
Marvin Nicoleau ◽  
Randy L. Vander Wal ◽  
...  

Air pollution has become the world’s single biggest environmental health risk of the past decade, causing millions of yearly deaths worldwide. One of the dominant air pollutants is fine particulate matter (PM2.5), which is a product of combustion. Exposure to PM2.5 has been associated with decreased lung function, impaired immunity, and exacerbations of lung disease. Accumulating evidence suggests that many of the adverse health effects of PM2.5 exposure are associated with lung inflammation and oxidative stress. While the physical structure and surface chemistry of PM2.5 are surrogate measures of particle oxidative potential, little is known about their contributions to negative health effects. In this study, we used functionalized carbon black particles as surrogates for atmospherically aged combustion-formed soot to assess the effects of PM2.5 surface chemistry in lung cells. We exposed the BEAS-2B lung epithelial cell line to different soot at a range of concentrations and assessed cell viability, inflammation, and oxidative stress. Our results indicate that exposure to soot with varying particle surface composition results in differential cell viability rates, the expression of pro-inflammatory and oxidative stress genes, and protein carbonylation. We conclude that particle surface chemistry, specifically oxygen content, in soot modulates lung cell inflammatory and oxidative stress responses.


Nano Letters ◽  
2012 ◽  
Vol 12 (11) ◽  
pp. 5885-5889 ◽  
Author(s):  
Chunhua Cui ◽  
Lin Gan ◽  
Hui-Hui Li ◽  
Shu-Hong Yu ◽  
Marc Heggen ◽  
...  

2021 ◽  
Author(s):  
Nicolas Debons ◽  
Dounia Dems ◽  
Thibaud Coradin ◽  
Carole Aimé

The functionalization of nanomaterials surface is key to improve their stability, reactivity and confer specific properties. However, mapping functional groups at the nanoscale remains difficult, <i>i.e.</i> identifying chemical nature but also spatial distribution. It is particularly challenging for organic groups and non-planar objects such as nanoparticles. Here we report a strategy for mapping amine groups on the surface of silica particles using chemically-modified gold colloids, which are used as tags to specifically and spatially identify these organic groups under electron microscopy. A complete understanding of the correlation between spatial distribution of gold colloids and chemical state of the silica particle surface (by XPS) is presented. The range of reliability of this strategy for mapping organic groups at nanointerfaces is assessed and its implications for biofunctional nanoobjects where interdistance of biomolecules are of paramount importance are discussed.


Soft Matter ◽  
2015 ◽  
Vol 11 (8) ◽  
pp. 1634-1645 ◽  
Author(s):  
Moulik Ranka ◽  
Nihal Varkey ◽  
Subramanian Ramakrishnan ◽  
Charles F. Zukoski

We report microstructural and rheological consequences of altering silica particle surface chemistry when the particles are suspended in unentangled polyethylene glycol with a molecular weight of 400.


2010 ◽  
Vol 10 (5) ◽  
pp. 12371-12431 ◽  
Author(s):  
B. Ervens ◽  
R. Volkamer

Abstract. This study presents a modeling framework based on laboratory data to describe the kinetics of glyoxal reactions in aqueous aerosol particles that form secondary organic aerosol (SOA). Recent laboratory results on glyoxal reactions are reviewed and a consistent set of reaction rate constants is derived that captures the kinetics of glyoxal hydration and subsequent reversible and irreversible reactions in aqueous inorganic and water-soluble organic aerosol seeds to form (a) oligomers, (b) nitrogen-containing products, (c) photochemical oxidation products with high molecular weight. These additional aqueous phase processes enhance the SOA formation rate in particles compared to cloud droplets and yield two to three orders of magnitude more SOA than predicted based on reaction schemes for dilute aqueous phase (cloud) chemistry. The application of this new module in a chemical box model demonstrates that both the time scale to reach aqueous phase equilibria and the choice of rate constants of irreversible reactions have a pronounced effect on the atmospheric relevance of SOA formation from glyoxal. During day time a photochemical (most likely radical-initiated) process is the major SOA formation pathway forming ~5 μg m−3 SOA over 12 h (assuming a constant glyoxal mixing ratio of 300 ppt). During night time, reactions of nitrogen-containing compounds (ammonium, amines, amino acids) contribute most to the predicted SOA mass; however, the absolute predicted SOA masses are reduced by an order of magnitude as compared to day time production. The contribution of the ammonium reaction significantly increases in moderately acidic or neutral particles (5<pH<7). Reversible glyoxal oligomerization, parameterized by an equilibrium constant Kolig=1000 (in ammonium sulfate solution), contributes <1% to total predicted SOA masses at any time. Sensitivity tests reveal five parameters that strongly affect the predicted SOA mass from glyoxal: (1) time scales to reach equilibrium states (as opposed to assuming instantaneous equilibrium), (2) particle pH, (3) chemical composition of the bulk aerosol, (4) particle surface composition, and (5) particle liquid water content that is mostly determined by the amount and hygroscopicity of aerosol mass and to a lesser extent by the ambient relative humidity. Glyoxal serves as an example molecule, and the conclusions about SOA formation in aqueous particles can serve for comparative studies also of other molecules that form SOA as the result of multiphase chemical processing in aerosol water. This SOA source is currently underrepresented in atmospheric models; if included it is likely to bring SOA predictions (mass and O/C ratio) into better agreement with field observations.


2021 ◽  
Author(s):  
Nicolas Debons ◽  
Dounia Dems ◽  
Thibaud Coradin ◽  
Carole Aimé

The functionalization of nanomaterials surface is key to improve their stability, reactivity and confer specific properties. However, mapping functional groups at the nanoscale remains difficult, <i>i.e.</i> identifying chemical nature but also spatial distribution. It is particularly challenging for organic groups and non-planar objects such as nanoparticles. Here we report a strategy for mapping amine groups on the surface of silica particles using chemically-modified gold colloids, which are used as tags to specifically and spatially identify these organic groups under electron microscopy. A complete understanding of the correlation between spatial distribution of gold colloids and chemical state of the silica particle surface (by XPS) is presented. The range of reliability of this strategy for mapping organic groups at nanointerfaces is assessed and its implications for biofunctional nanoobjects where interdistance of biomolecules are of paramount importance are discussed.


2000 ◽  
Vol 15 (1) ◽  
pp. 155-163 ◽  
Author(s):  
C. Galassi ◽  
F. Bertoni ◽  
S. Ardizzone ◽  
C. L. Bianchi

Si3N4 powders manufactured by two different preparative routes were characterized for the solid–liquid interfacial reactivity and surface composition. Three mixing processes were tried to investigate the modifications of silicon nitride particle surface in aqueous suspensions. The surfaces of the starting powders and the dried mixed powders were investigated by x-ray photoelectron spectroscopy to determine the nature and ratios of surface groups. Electroacoustic measurements show that no change occurs in the isoelectric point for the mixed Si3N4 powders while the milling/mixing process has a great influence on the zeta potential magnitude and particle size distribution.


Sign in / Sign up

Export Citation Format

Share Document