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. 2010 Jun;26(2):95–100. doi: 10.5487/TR.2010.26.2.095

Challenges and Perspectives of Nanoparticle Exposure Assessment

Ji Hyun Lee 1, Min Chaul Moon 1, Joon Yeob Lee 1, Il Je Yu 1,
PMCID: PMC3834466  PMID: 24278511

Abstract

Nanoparticle exposure assessment presents a unique challenge in the field of occupational and environmental health. With the commercialization of nanotechnology, exposure usually starts from the workplace and then spreads to environment and consumer exposure. This report discusses the current trends of nanoparticle exposure assessment, including the definition of nanotechnology relevant terms, essential physicochemical properties for nanomaterial characterization, current international activities related nanomaterial safety, and exposure assessment standard development for nanotechnology. Further this report describes challenges of nanoparticle exposure assessment such as background measurement, metrics of nanoparticle exposure assessment and personal sampling.

Keywords: Nanoparticle, Exposure, Assessment, Nanomaterial, Standards, Nanotechnology

INTRODUCTION

Nanoparticle exposure assessment presents a unique challenge in the field of occupational and environmental health.When compared with bulk particles or conventional particles, nanoparticle sampling and exposure assessment require quite different methods from those conventionally used in occupational and environmental health, as shown in Table 1. Yet, there is currently no consensus on the best sampling method for characterizing manufactured nanoparticle exposure.There are also no accepted quantitative occupational exposure levels (OELs) for manufactured nanomaterials, although company-developed occupational exposure levels and benchmark doses based on toxicity data are beginning to emerge. Meanwhile, qualitative assessments comparing particle concentrations at the emission source and background particle concentrations are frequently used to find measures for exposure mitigation. Furthermore, there are no established metrics for evaluating airborne nanoparticle exposure. The conventional mass dose-based airborne concentration is insufficient for quantitative exposure assessment, since nanoparticles are known to be more reactive due to their wide surface and number per mass when compared with large conventional particles. Accordingly, this report discusses the current trends of nanoparticle exposure assessment, including the definition, physicochemical properties,current international activities, and exposure assessment standard development.

Table 1.

Comparison of sampling methods used for conventional particles and nanoparticles

Conventional particles Nanoparticles

Size 500 nm- 10 micron 100 nm 이하
Respirable respirable + inhalable respirable
Sampling personal > area Personal < area
Sampling equipment cyclone, impactor, filter DMAS, CPC, OPC, APS, ELPI, filter
Sampling metric mass, number (fiber) number (particle, tube) mass, surface area
Background concentration not usually measured measured
Size distribution measurement not usually analyzed analyzed
TEM/SEM not usually analyzed, except asbestos analysis often performed
Process episode not usually checked checked and recorded
Emission source identification easy not easy to identified

TERMS AND DEFINITIONS OF NANOMATERIALS

ISO TS 27687 (2008) and KS A 27687 (2010) both offer definitions of nano objects, as presented in Table 2 and Fig.1. Notwithstanding, the definition of a nanomaterial is still an on going topic within the ISO TC 229 Working group 1.

Table 2.

Terms and definitions of nano-objects

Term Definition

nanoscale size range from approximately 1 nm to 100 nm
nano-object material with one, two, or three external nanoscale dimensions
particle minute piece of matter with defined physical boundaries
agglomerate collection of weakly bound particles or aggregates or mixtures of the two, where the resulting external surface area is similar to the sum of the surface areas of the individual components
aggregate particle comprising strongly bonded or fused particles, where the resulting external surface area may be significantly smaller than the sum of the calculated surface areas of the individual components
nanoparticle nano-object with all three external dimensions on a nanoscale
nanoplate nano-object with one external dimension on a nanoscale and the two other external dimensions significantly larger
nanofibre nano-object with two similar external dimensions on a nanoscale and the third dimension significantly larger
nanotube hollow nanofibre
nanorod solid nanofibre
nanowire electrically conducting or semi-conducting nanofibre
quantum dot crystalline nanoparticle that exhibits size-dependent properties due to quantum confinement effects on the electronic states

Fig. 1. Fragment of hierarchy of terms related to nano-objects.

Fig. 1.

PHYSICOCHEMICAL PROPERTIES OF NANOMATERIALS

As described in the terms and definitions of nanomaterials,nanomaterials are easily agglomerated (due to weak forces, such as van-der Waals or simple physical entanglement) or aggregated (due to strong forces, such as covalent bonds or bonds resulting from sintering or complex physical entanglement) after formation. Currently, the OECD WPMN (working party on manufactured nanomaterials) SG 3 (steering group 3) is conducting “Safety testing of a representative set of manufactured nanomaterials” and has recommended a basic data set for the physicochemical properties described in Table 2. Meanwhile, the ISO TC 229 working group 3 has a project titled “Guidance on physico-chemical parameters of manufactured nanomaterials for toxicologic assessment”, which also recommends 8 physico-chemical Parameters (Table 3) . As such, Table 3 compares the physicochemical parameters recommended by the GHS (2010, globally harmonized system on classification and labeling of chemicals), OECD WPMN DDP (dossier development plan) , and ISO TC 229 working group 5, DTR (draft technical report) 10314.

Table 3.

Physicochemical properties for chemicals described in GHS, and for nanomaterials, as recommended by OECD DDP and ISO TC 229 Project group 5 (DTR 10314)

GHS OECD DDP ISO TC 229 DTR 10314

-appearance -agglomeration/ -particle size distribution
-odour aggregation: -aggregation /agglomeration
-odour threshold -water solubility -shape
-melting p[point/freezing point -crystalline phase -composition
-initial boiling point and boiling range -dustiness: -solubility/ dipsersibility
-flash point -crystallite size -surface area
-evaporation rate -representative TEM picture (s) -surface chemistry
-flammability -particle size distribution - dry and in relevant media -surface charge density
-upper/lower flammability or explosive limits -specific surface area:
-vapour pressure -zeta potential (surface charge)
-vapour density -surface chemistry
-relative denstiy -photocatalytic activity
-solubility -pour density
-partition coefficient n-octanol/water -porosity
-autoignition temp -octanol-water partition coefficient
-decomposition temp -redox potential
-viscosity -radical formation potential

CURRENT INTERNATIONAL ACTIVITIES ON NANOPARTICLE EXPOSURE ASSESSMENT

The OECD WPMN SG8 (Co-operation on Exposure Measurement and Exposure Mitigation) has already published several reports on nanoparticle exposure assessment, and recently asked member countries to participate in a exposure assessment sponsorship program: 1) to obtain exposure data to enable risk assessment of specific nanomaterials;2) to evaluate the feasibility and necessity of developing a sponsorship program for exposure assessment; and 3) to facilitate the strategic planning of SG8 activities in the area of exposure measurements for generating data and guidance. The sponsors of the safety testing program were also asked to participate in the exposure assessment sponsorship program. Meanwhile, the ISO TC 229 has also conducted several activities relevant to the assessment of nanoparticle exposure, and ISO TR 12885 (2008) and ISO TS 12901 (2010) describe general guidelines for nanoparticle exposure assessment. However, there have been no activities as yet on the development of exposure assessment standards due to the continuing technical difficulties related to sampling and the characterization of nanoparticles.

MEASUREMENT INSTRUMENTS

Currently available devices and methods for the direct and indirect measurement of the number, mass, and surface area concentration are listed in Table. 5 and 6 (ISO TR 27628, 2007).

Table 5.

Devices for direct measurement of number, mass, and surface area concentration (adapted from PD/ISO TR 27628)

Metric Device Remarks

Number Condensation particle counter (CPC) CPCs provide real-time number concentration measurements between their particle diameter detection limits. They operate by condensing vapour onto sampled particles and detecting/ counting the droplets formed. Typically used with a 1,000 nm size selective inlet and able to detect down to around 10 nm.
Differential mobility particle sizer (DMPS) Real-time size-selective (mobility diameter) detection of number concentration, giving number- based size distribution.
Electron microscopy: (SEM, TEM) Off-line analysis of electron microscope samples can provide information on size-specific aerosol number concentration.
Mass Size selective static sampler Assessment of the mass of nanoparticles can be achieved using a size-selective personal sampler with a cut-off point of approximately 100 nm, and the samples are then analyzed by gravimetric weighing or a chemical analysis. Although a specific device of this type is not yet commercially available, some cascade impactors (Berner-type low pressure impactors or Microorifice impactors) have selection points around 100 nm and can be used in this way.
Tapered element oscillating microbalance (TEOM) Sensitive real-time monitors, such as the TEOM, can be used to measure the nanoaerosol mass concentration on-line, with a suitable size-selective inlet
Surface area Diffusion charger Real-time measurement of aerosol active surface area. Note that the active surface area does not scale directly with the geometric surface area above 100 nm. Not all commercially available diffusion chargers have a response that scales with a particle active surface area below 100 nm. Diffusion chargers are only specific to nanoparticles if used with an appropriate inlet pre-separator.
Electrostatic low pressure impactor (ELPI) Real-time size-selective (aerodynamic diameter) detection of active surface area concentration. Note that the active surface area does not scale directly with the geometric surface-area above 100 nm.
Electron microscopy: (SEM, TEM) An off-line analysis of electron microscope samples can provide information on the particle surface area with respect to size. A TEM analysis provides direct information on the projected area of collected particles, which can be related to the geometric area for certain particle shapes.

Table 6.

Devices for direct measurement of number, mass and surface area concentration (adapted from PD/ISO TR 27628)

Metric Device Remarks

Number ELPI Real-time size-selective (aerodynamic diameter) detection of active surface-area concentration, giving aerosol size distribution. Data may be interpreted in terms of the number concentration.
Size-selected samples may be further analyzed off-line.
Mass ELPI Real-time size-selective (aerodynamic diameter) detection of active surface area concentration, giving aerosol size distribution. The mass concentration of aerosols can only be calculated if particle charge and density are assumed or known.
Size-selected samples may be further analyzed off-line
DMPS Real-time size-selective (mobility diameter) detection of number concentration, giving aerosol size distribution. The mass concentration of aerosols can only be calculated if particle shape and density are known or assumed.
Surface area DMPS Real-time size-selective (mobility diameter) detection of number concentration, giving aerosol size distribution. The mass concentration of aerosols can only be calculated if particle shape and density are known or assumed
DMPS and ELPI used in parallel The differences in the measured aerodynamic and mobility can be used to infer the particle fractal dimension, which can be further used to estimate the surface area

Table 4.

International activities on nanoparticle exposure assessment

Relevant documents

OECD WPMN SG8 (Co-operation on Exposure Measurement and Exposure Mitigation) -Emission assessment for identification of sources and release of airborne manufactured nanomateirals in the workplace; compilation of existing guidance (No .11)
-Comparison of Guidance on Selection of Skin Protective Equipment and Respirators for Use in the Workplace: Manufactured Nanomaterials
ISO TC 229 WG3 -TR 12885: Health and safety practices in occupational settings relevant to nanotechnologies
-TR 12901-1: Guide to safe handling and disposal of Manufactured Nanomaterials
-Nanomaterial Risk evaluation Framework
-DTS 12901-2: Guidelines for occupational risk management applied to engineered nanomaterials based on a "control banding approach
-DTR 13121: Nanomaterial risk evaluation process
-DTR 13329 :Preparation of MSDS for nanomaterials
-ISO TR 27628: Workplace atmosphere-ultrafine, nanoparticle and nano-structured aerosol-inhalation exposure characterization and assessment
-ISO 28439: Workplace atmosphere-characterization of ultra fine aerosols/nanoaerosols-Determining the size distribution and number concentration using differential electrical mobility analyzing systems
UK -UK British Standards Institute developed BSI PD 6699-2:2008: Guide to safe handling and disposal of manufactured nanomaterials (http://www.bsi-global.com/en/Standards-and-Publications/ Industry-Sectors/Nanotechnologies/) .
US -US National Institute for Occupational Safety and Health released a second edition of “Approaches to Safe Nanotechnology” in August, 2006 (http://www.cdc.gov/niosh/topics/nanotech/safenano/) , which contains guidance for exposure measurements and exposure mitigation in the workplace.
-ASTM WK8985 (Technical Committee on Nanotechnology E56) : Standard guide for handling unbound engineered nanoparticles in occupational settings, 2007
Germany German Chemical Industry Association (VCI) and German Federal Institute for Occupational Safety and Health (BAuA) have developed a best practice guideline for handling and use of nanomaterials in the workplace (http://www.baua.de/nn_49456/en/Topics-from-A-to-Z/Hazardous- Substances/Nanotechnology/pdf/guidance.pdf) .
VCI is planning submission of New Work Item Proposals on standards for exposure measurements to the ISO TC229 WG3.

DTR, draft of technical report; TR, technical report; TS, technical specification; PD, public document.

CHALLENGES OF NANOPARTICLE EXPOSURE ASSESSMENT

Background measurement.

Comparing the rnanoparticle concentration with the background concentration or the production-off concentration with the production-on concentration has been recommended to evaluate the emission of nanoparticles in the workplace. If elevated concentrations of suspected nanoparticles are detected at potential emission sources relative to the background particle number concentrations, filter-based, source-specific air samples are then collected, where some are analyzed by electron microscopy (EM) , such as Transmission EM (TEM) or Scanning EM (SEM) , for particle identification and characterization, and the others are used to determine the elemental mass concentration. However, in real situations, measuring the background levels of nanoparticles is very hard, since (1) most workplaces are already in operation, (2) background measurements hinder the progress of normal work, (3) workplaces usually only allow 1 working day for exposure assessment, and (4) most workplaces are resistant to personal and area sampling. In some cases, the background concentration is even too high to distinguish (Lee et al., 2010). Thus, alternative methods need to be developed for measuring the background levels of nanoparticles.

Metrics of nanoparticle exposure assessment.

Traditionally, the mass dose is used to interpret the airborne fine particle concentration, as the mass concentration usually corresponds well with the traditionally used occupational exposure levels or action levels, with the exception of asbestos and man-made mineral fibers (MMMFs) , where the fiber number concentrations are used. However, due to their small size, nanoparticles have a much higher surface area and number of particles than the same mass of larger particles,making them potentially more reactive and more toxic. Thus, the nanomaterial surface area and number of nanoparticles have been proposed as better alternatives for characterizing exposure. However, the existence of heterogeneous particle species and various shapes of particle in the workplace atmosphere present problems as regards using the particle number and surface area parameters. The currently available surface area measuring devices are theoretically adapted to sphere-shaped particles, meaning that rod-shaped particles, like carbon nanotubes and carbon nanofibers, may not be appropriately evaluated. Meanwhile, the aggregation and agglomeration of nanoparticles in a workplace atmosphere create problems as regards counting the proper particle number.

Personal sampling.

There are currently no validated personal samplers for evaluating exposure to nanoparticles. Thus, most documents relevant to exposure assessment published by international organizations refer to emission assessment based on area sampling or static sampling instead of exposure assessment. Without personal sampling, it is very difficult to asses exposure or set occupational exposure limits. While personal samplers are now being developing,they will only be available a few years later. Thus, in the meantime, the assessment of workplace exposure needs to combine sampling methods, such as traditional personal sampling and area or static sampling.

Occupational exposure levels.

Although there are currently no OELs for nanoparticles, the BSI PD (2008) provides benchmark doses for certain nanomaterials, and the Bayer company has established voluntary OELs for MWCNTs. Notwithstanding, there is still much debate over whether to use mass-based OELs or switch to surface areabased OELs. Yet, given the insufficiency of exposure data and lack of clear hazard data for nanomaterials, it is still too early to set valid OELs and even more difficult to execute any OELs without a proper exposure assessment method and metrics. Just last year, the OECD WPMN SG9 held a workshop in collaboration with the American Society of Risk Analysis on the risk assessment of nanomaterials and encountered many uncertainties in evaluating the risk of nanomaterials, due to the lack of physicochemical properties and hazard and exposure data when compared with conventional chemicals.

PERSPECTIVES

The development of exposure assessment methods for occupational exposure is the first step in establishing nanoparticle exposure assessment. With the commercialization of nanotechnology, exposure usually starts from the workplace and then spreads to environment and consumer exposure. Also, workplace exposure is less complex than environment or consumer exposure, although the magnitude of exposure is much higher than that with environment and consumer exposure. Exposure assessment methods developed for the workplace may also be directly or indirectly applicable to consumer exposure. To develop an exposure assessment methodology, personal sampling techniques, including nanoparticle-specific samplers, should first be developed. Such samplers need to be able to calculate the number or area concentration, as well as the mass concentration, either simultaneously or separately. Second, characterizing the proper filter media for the efficient collection of manufactured nanomaterials according to their size, composition, and shape is needed, as there are currently no recommended guidelines or methods. Third, the behavior of manufactured nanoparticles in the workplace atmosphere should be investigated, as little is really known about the fate of nanoparticles released into the air during manufacture or introduced to nanomaterial-containing products. Thus, further studies on nanoparticle behavior are needed in real workplace and simulated conditions.

Acknowledgments

This research was supported by the Academic Research fund of Hoseo University in 2009 (2009-135) .

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