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Particle and Fibre Toxicology - Nanowerk

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<strong>Particle</strong> <strong>and</strong> <strong>Fibre</strong> <strong>Toxicology</strong> 2005, 2:8<br />

http://www.particle<strong>and</strong>fibretoxicology.com/content/2/1/8<br />

susceptible to errors where the sampled aerosol contains<br />

volatile components. On-line photometric mass<br />

concentration methods are generally good for monitoring<br />

the temporal stability of aerosol <strong>and</strong> providing a real-time<br />

indication of mass exposure, although they are relatively<br />

insensitive to particles smaller than approximately 0.5 µm<br />

in diameter [86]. However, in general more appropriate<br />

methods should be used for providing real-time measurements<br />

of number <strong>and</strong> surface-area exposure [85,87-89].<br />

Aerosol size distribution measurements enable reasonably<br />

good calculation of exposure against all three physical<br />

metrics, if parameters such as particle shape <strong>and</strong> density<br />

are known. Off-line size distribution measurement methods<br />

such as Transmission Electron Microscopy (TEM)<br />

analysis offer detailed information on this distribution<br />

but are extremely time consuming, <strong>and</strong> frequently limited<br />

by the collection techniques <strong>and</strong>, in the case of TEM analysis,<br />

inference of 3-dimensional structure from 2-dimensional<br />

images. On-line size measurement techniques such<br />

as Differential Mobility Analysis [90] are capable of measuring<br />

aerosol size distribution with a time resolution of<br />

tens of seconds. Aerosol number concentration between<br />

given particle diameters is easily derived from aerosol size<br />

distribution measurements, although interpretation of<br />

such data in terms of mass or surface-area dose requires<br />

additional information on particle characteristics such as<br />

shape <strong>and</strong> density. It is recommended that for each nanoparticle<br />

type, size distribution measurement techniques<br />

be validated against TEM analysis.<br />

Off-line surface area characterization is possible using<br />

isothermal gas-adsorption, although techniques suited to<br />

filter samples need to be employed. There is also some<br />

possibility that the surface area of the collected material<br />

will differ from that of the airborne material due to compaction<br />

<strong>and</strong> surface occlusion. However, the extent to<br />

which this may occur is not well understood. Published<br />

studies have shown a good correlation between off-line<br />

surface area measurement <strong>and</strong> biological response [91],<br />

suggesting that errors associated with collection <strong>and</strong> subsequent<br />

analysis can be small. This holds particularly for<br />

insoluble particles; ideally surface area measurements<br />

would be required on the insoluble core of a nanomaterial<br />

after its water-<strong>and</strong>/or lipid soluble compounds have<br />

been dissolved from the particle surface. Aerosol diffusion<br />

charging has been shown to provide a measure of surface<br />

area on-line where the charging rate is low [89], <strong>and</strong> a<br />

small number of aerosol diffusion chargers are commercially<br />

available. These devices have been shown to measure<br />

aerosol surface area well for particles smaller than 100<br />

nm in diameter [87]. At larger diameters, measured surface<br />

area progressively underestimates aerosol surface<br />

area. In particular, the surface area of porous particle<br />

structures as well as that of highly aggregated particles will<br />

Table 1: Recommendations for measuring exposure during<br />

inhalation studies<br />

Metric<br />

Mass – off-line<br />

Mass – on-line<br />

Size distribution – off line<br />

Size distribution – on line<br />

Surface area – off line<br />

Surface area – on line<br />

Number – off line<br />

Number – on line<br />

Measurement<br />

Recommendation<br />

E (coupled with on-line)<br />

E<br />

E<br />

E/D<br />

O<br />

O<br />

N<br />

E<br />

E: These measurements are considered to be essential.<br />

D: These measurements are considered to provide valuable<br />

information, but are not recommended as essential due to constraints<br />

associated with complexity, cost <strong>and</strong> availability.<br />

O: These measurements are considered to provide valuable but nonessential<br />

exposure information.<br />

N: These measurements are not considered to be of significant value<br />

to inhalation studies.<br />

generally not be determined. Data have been published<br />

on a particular aerosol diffusion charger indicating that it<br />

provides a measure of aerosol surface area dose in the<br />

lungs, as opposed to aerosol surface area exposure [92].<br />

While on-line aerosol surface area measurements are<br />

desirable during inhalation exposure studies, uncertainties<br />

associated with current techniques suggest caution<br />

when interpreting such measurements.<br />

Number concentration may be measured on-line with<br />

relative ease using instruments such as Condensation <strong>Particle</strong><br />

Counters [88]. Although it is not clear how biologically<br />

relevant number concentration is as a dose metric,<br />

the ease with which such measurements are made <strong>and</strong><br />

their value in tracking temporal changes in exposure lead<br />

to their being recommended as essential in inhalation<br />

studies.<br />

Table 1 summarizes recommendations for measuring<br />

exposure during inhalation studies.<br />

4.1.5 Characterization Prioritization<br />

In developing recommendations on material characterizations<br />

for nanomaterial toxicity screening studies, three<br />

specific factors have been taken into consideration: the<br />

context within which a material is being evaluated, the<br />

importance of measuring a specific parameter within that<br />

context, <strong>and</strong> the feasibility of measuring the parameter<br />

within a specific context. Recommendations on off-line<br />

material characterizations for nanomaterial toxicity<br />

screening studies are presented in Table 2.<br />

Page 10 of 35<br />

(page number not for citation purposes)

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