scholarly journals Single-particle ICP-TOFMS with online microdroplet calibration for the simultaneous quantification of diverse nanoparticles in complex matrices

2019 ◽  
Vol 6 (11) ◽  
pp. 3349-3358 ◽  
Author(s):  
Kamyar Mehrabi ◽  
Detlef Günther ◽  
Alexander Gundlach-Graham
Keyword(s):  
Single Particle ◽  
Particle Number ◽  
Number Concentration ◽  
Inorganic Nanoparticles ◽  
Particle Number Concentration ◽  
Environmental Matrices ◽  
Complex Matrices ◽  
Simultaneous Quantification

Online microdroplet calibration is used to determine the mass and particle number concentration of inorganic nanoparticles (NPs) without the use of NP standards. This approach can be applied directly to quantify NPs in environmental matrices.

Number of spikes in single particle ICP-MS time scans: from the very dilute to the highly concentrated range

2021 ◽  
Author(s):  
Pierre-Emmanuel Peyneau ◽  
Martin Guillon
Keyword(s):  
Single Particle ◽  
Inductively Coupled Plasma ◽  
Particle Number ◽  
Number Concentration ◽  
Particle Number Concentration ◽  
Inductively Coupled ◽  
Nanoparticle Dispersions ◽  
Icp Ms ◽  
Plasma Mass Spectrometry ◽  
The Difference

The particle number concentration (PNC) of dilute nanoparticle dispersions can be determined by single particle inductively coupled plasma-mass spectrometry (sp-ICP-MS). Virtually equal to zero for very dilute dispersions, the difference...

scholarly journals The accurate determination of number concentration of inorganic nanoparticles using spICP-MS with the dynamic mass flow approach

2020 ◽  
Vol 35 (9) ◽  
pp. 1832-1839 ◽  
Author(s):  
Susana Cuello-Nuñez ◽  
Isabel Abad-Álvaro ◽  
Dorota Bartczak ◽  
M. Estela del Castillo Busto ◽  
David Alexander Ramsay ◽  
...  
Keyword(s):  
Mass Flow ◽  
Particle Number ◽  
Accurate Determination ◽  
Number Concentration ◽  
Inorganic Nanoparticles ◽  
Particle Number Concentration ◽  
Dynamic Mass

Methodology for SI traceable determination of particle number concentration by reference NM-free spICP-MS.

scholarly journals Development of a suitable detection method for silver nanoparticles in fish tissue using single particle ICP-MS

2019 ◽  
Vol 6 (11) ◽  
pp. 3388-3400 ◽  
Author(s):  
Nathaniel J. Clark ◽  
Robert Clough ◽  
David Boyle ◽  
Richard D. Handy
Keyword(s):  
Single Particle ◽  
Mass Concentration ◽  
Particle Number ◽  
Detection Method ◽  
Fish Tissue ◽  
Number Concentration ◽  
Particle Number Concentration ◽  
Silver Nanomaterials ◽  
Icp Ms ◽  
Particle Mass Concentration

A strong alkali extraction technique and suitable single particle ICP-MS method is described for the routine quantifying of particle number concentration, particle size and particle mass concentration for silver nanomaterials in fish tissue.

Impact of Urban Pollution on Organic-Mediated New-Particle Formation and Particle Number Concentration in the Amazon Rainforest

2021 ◽  
Vol 55 (8) ◽  
pp. 4357-4367
Author(s):  
Bin Zhao ◽  
Jerome D. Fast ◽  
Neil M. Donahue ◽  
Manish Shrivastava ◽  
Meredith Schervish ◽  
...  
Keyword(s):  
Particle Number ◽  
Urban Pollution ◽  
Particle Formation ◽  
Number Concentration ◽  
Amazon Rainforest ◽  
Particle Number Concentration ◽  
New Particle Formation

scholarly journals Modeling particle nucleation and growth over northern California during the 2010 CARES campaign

2015 ◽  
Vol 15 (21) ◽  
pp. 12283-12313 ◽  
Author(s):  
A. Lupascu ◽  
R. Easter ◽  
R. Zaveri ◽  
M. Shrivastava ◽  
M. Pekour ◽  
...  
Keyword(s):  
Size Distribution ◽  
Particle Number ◽  
Particle Formation ◽  
Number Concentration ◽  
Aerosol Size Distribution ◽  
Particle Nucleation ◽  
Particle Number Concentration ◽  
New Particle Formation ◽  
Organic Vapors ◽  
Diurnal Variability

Abstract. Accurate representation of the aerosol lifecycle requires adequate modeling of the particle number concentration and size distribution in addition to their mass, which is often the focus of aerosol modeling studies. This paper compares particle number concentrations and size distributions as predicted by three empirical nucleation parameterizations in the Weather Research and Forecast coupled with chemistry (WRF-Chem) regional model using 20 discrete size bins ranging from 1 nm to 10 μm. Two of the parameterizations are based on H2SO4, while one is based on both H2SO4 and organic vapors. Budget diagnostic terms for transport, dry deposition, emissions, condensational growth, nucleation, and coagulation of aerosol particles have been added to the model and are used to analyze the differences in how the new particle formation parameterizations influence the evolving aerosol size distribution. The simulations are evaluated using measurements collected at surface sites and from a research aircraft during the Carbonaceous Aerosol and Radiative Effects Study (CARES) conducted in the vicinity of Sacramento, California. While all three parameterizations captured the temporal variation of the size distribution during observed nucleation events as well as the spatial variability in aerosol number, all overestimated by up to a factor of 2.5 the total particle number concentration for particle diameters greater than 10 nm. Using the budget diagnostic terms, we demonstrate that the combined H2SO4 and low-volatility organic vapor parameterization leads to a different diurnal variability of new particle formation and growth to larger sizes compared to the parameterizations based on only H2SO4. At the CARES urban ground site, peak nucleation rates are predicted to occur around 12:00 Pacific (local) standard time (PST) for the H2SO4 parameterizations, whereas the highest rates were predicted at 08:00 and 16:00 PST when low-volatility organic gases are included in the parameterization. This can be explained by higher anthropogenic emissions of organic vapors at these times as well as lower boundary-layer heights that reduce vertical mixing. The higher nucleation rates in the H2SO4-organic parameterization at these times were largely offset by losses due to coagulation. Despite the different budget terms for ultrafine particles, the 10–40 nm diameter particle number concentrations from all three parameterizations increased from 10:00 to 14:00 PST and then decreased later in the afternoon, consistent with changes in the observed size and number distribution. We found that newly formed particles could explain up to 20–30 % of predicted cloud condensation nuclei at 0.5 % supersaturation, depending on location and the specific nucleation parameterization. A sensitivity simulation using 12 discrete size bins ranging from 1 nm to 10 μm diameter gave a reasonable estimate of particle number and size distribution compared to the 20 size bin simulation, while reducing the associated computational cost by ~ 36 %.

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