1 Control Banding Approach to Safe Handling of Nanoparticles Samuel Paik, PhD, CIH Industrial Hygienist and Nanotechnology Safety.

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Presentation transcript:

1 Control Banding Approach to Safe Handling of Nanoparticles Samuel Paik, PhD, CIH Industrial Hygienist and Nanotechnology Safety SME Lawrence Livermore National Laboratory EH&S Challenges of the Nanotechnology Revolution This work performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA LLNL-PRES July 29, 2009

Challenges in Traditional IH Approach Control Banding Concept Development of CB Nanotool Application of CB Nanotool Overview 2

Personal air sampling  Collect air samples from worker’s breathing zone  Compare concentration of particles of interest with exposure limits  Implement control measures to reduce concentrations below exposure limits Personal sampler Personal sampling pump Traditional IH Approach 3

Sampled concentrations are representative of what the worker is breathing Exposure index pertaining to health effects is known Analytical methods are available to quantify exposure index Exposure levels at which particles produce adverse health effects are known inhalable thoracic respirable Traditional IH Assumptions 4

Sampled conc. are representative of what the worker is breathing  Met by obtaining air sample from worker’s breathing zone. Due to their size, nanoparticles do not easily get separated from the sampled air. Exposure index pertaining to health effects is known  Not yet met. There is considerable debate on what the most appropriate exposure index is – Total surface area? Mass concentration? Number concentration? Traditional IH vs Nanoparticles 5

Analytical methods are available to quantify exposure index  Some devices are available that measure nanoparticles, but most have significant biases and are not usually specific to the particle of interest (e.g., condensation particle counters, surface area monitors, etc.) Exposure levels at which particles produce adverse health effects are known  Not met. No established exposure limits for nanoparticles. Limited toxicological data. Traditional IH vs Nanoparticles 6

What can we do? 3 of the 4 assumptions are not met.  A long way to go before traditional IH approach can be relied upon as effective risk assessment Is there an alternative approach for risk assessment?  Yes! Control Banding CONTROL BANDING IS AN ALTERNATIVE APPROACH TO TRADITIONAL IH 7

Overview Challenges in Traditional IH Approach Control Banding Concept Development of CB Nanotool Application of CB Nanotool 8

Definitions Control banding: A qualitative or semi-quantitative approach to risk assessment and risk management that groups occupational risk control strategies in bands based on their level of hazard. CB Strategies: Overarching concept of the CB Model that is evolutionary and not a single toolkit. Toolkit: Narrowly defined solutions approach to control worker exposures within toolkit’s parameters. COSHH Essentials: A CB Toolkit Developed by UK HSE to Assist SMEs in Addressing the UK 2002 COSHH Regulations - Perform Risk Assessments for all Chemicals. (definitions provided courtesy of David Zalk)

* Maynard, AD. (2007) Nanotechnology: the next big thing, or much ado about nothing? AnnOccHyg 51(1);1-12. Control Banding for Nano 10

Factors that Favor Control Banding (CB) for Nano Challenges with Traditional IH  Insufficient toxicological information  Difficult to quantify exposure Efficacy of conventional controls  Applicability of four control bands Product and Process Based Successful application in UK and pharmaceutical industry (e.g., COSHH Essentials) 11

Overview Challenges in Traditional IH Approach Control Banding Concept Development of CB Nanotool Application of CB Nanotool 12

CB seems like a useful concept, but few comprehensive tools are available Goal  Explore feasibility of CB concept by developing pilot tool, utilizing existing knowledge on nanoparticle toxicology  Apply CB Nanotool to current R&D operations at LLNL CB Nanotool Concept and Pilot 13

CB Nanotool Risk Level Matrix 14 CB_Nano_DMZ_SYP.ppt

For a given hazard category, should an “unknown” rating be given the same weight as a “high hazard” rating?  Due to scarcity of data, most operations would require highest level of control Decided to give an “unknown” rating 75% of the point value of “high” rating. This is higher than a “medium” rating. The default control for operation for which everything is “unknown” is Containment (Risk Level 3). If even one rating is “high” with everything else “unknown”, resulting control would be Seek Specialist Advice (Risk Level 4).  Provided incentive for responsible person to obtain health-related data for the activity CB Nanotool: Treating Unknowns 15

Nanomaterial: 70% of Severity Score  Surface Chemistry (10 pts)  Particle Shape (10 pts)  Particle Diameter (10 pts)  Solubility (10 pts)  Carcinogenicity (6 pts)  Reproductive Toxicity (6 pts)  Mutagenicity (6 pts)  Dermal Toxicity (6 pts)  Asthmagen (6 pts) Parent Material: 30% of Severity Score  Occupational Exposure Limit (10 pts)  Carcinogenicity (4 pts)  Reproductive Toxicity (4 pts)  Mutagenicity (4 pts)  Dermal Toxicity (4 pts)  Asthmagen (4 pts) (Maximum points indicated in parentheses) CB Nanotool (v2): Severity Factors 16

Estimated amount of material used (25 pts) Dustiness/mistiness (30 pts) Number of employees with similar exposure (15 pts) Frequency of operation (15 pts) Duration of operation (15 pts) CB Nanotool(v2): Probability Factors 17

Particle surface free radical activity  Surface Chemistry (10 pts)  Ability to generate reactive oxygen species, oxidative stress responses  Toxicological studies – Bronchoalveolar lavage fluid collected from rodents: analyzed for markers of inflammation, lung tissue damage, antioxidant status, etc.  Auger spectroscopy High: 10 pts Medium: 5 pts Low: 0 pts Unknown: 7.5 pts Surface Chemistry (nanomaterial) 18

Tubular/fibrous: high aspect ratio (e.g., carbon nanotubes) Irregular shapes: generally more surface area than compact particles (e.g., iron powders) Tubular/fibrous: 10 pts Anisotropic: 5 pts Compact/spherical: 0 pts Unknown: 7.5 pts Particle Shape (nanomaterial) 19

ICRP (1994) model: adult, nose breathing, at rest. Courtesy of CDC-NIOSH. Diameter (µm) Deposition Probability Total Tracheo- bronchial Head airways Alveolar nm nm >40 nm Particle Diameter (nanomaterial) nm: 10 pts nm: 5 pts >41 nm: 0 pts Unknown: 7.5 pts

Insoluble particles  Titanium dioxide, PTFE, BaSO 4  Causes inflammatory response  May penetrate skin, may translocate into brain Soluble particles  Potential systemic effects through absorption into blood Insoluble: 10 pts Soluble: 5 pts Unknown: 7.5 pts Solubility (nanomaterial) 21

Carcinogenicity  e.g., Titanium dioxide (IARC Group 2B potential carcinogen) Yes: 6 pts No: 0 pts Unknown: 4.5 pts Reproductive toxicity – mostly unknown Yes: 6 pts No: 0 pts Unknown: 4.5 pts Mutagenicity – mostly unknown Yes: 6 pts No: 0 pts Unknown: 4.5 pts Dermal toxicity – mostly unknown  Either cutaneous or through skin absorption Yes: 6 pts No: 0 pts Unknown: 4.5 pts MOST TOXICOLOGICAL DATA PERTAINING TO NANOSCALE IS UNKNOWN Other Tox Effects (nanomaterial) 22

Toxicological properties of parent material may provide insight into nanomaterial toxicity  30% of total severity score is based on parent material characteristics Bulk hazard (Parent material)  Is there an established occupational exposure limit? 1 mg/m 3 : 0 pts Unknown: 7.5 pts Severity Factors of Parent Material 23

Carcinogenicity Yes: 4 pts No: 0 pts Unknown: 3 pts Reproductive toxicity Yes: 4 pts No: 0 pts Unknown: 3 pts Mutagenicity Yes: 4 pts No: 0 pts Unknown: 3 pts Dermal toxicity  Either cutaneous or through skin absorption Yes: 4 pts No: 0 pts Unknown: 3 pts Severity Factors of Parent Material 24

Pertain to probability of exposure, irrespective of toxicological effects  Estimated amount of material used >100 mg: 25 pts mg: 12.5 pts 0-10 mg: 6.25 pts Unknown: pts  Dustiness/mistiness High: 30 pts Medium: 15 pts Low: 7.5 pts None: 0 pts Unknown: 22.5 pts  Number of employees with similar exposure >15: 15 pts 11-15: 10 pts 6-10: 5 pts 1-5: 0 pts Unknown: pts  Frequency of operation Daily: 15 pts Weekly: 10 pts Monthly: 5 pts Less than monthly: 0 pts  Duration of operation > 4 hrs: 15 pts 1-4 hrs: 10 pts 30-60: 5 pts <30 min: 0 pts Unknown: pts Probability Factors 25

CB Nanotool Risk Level Matrix 26 CB_Nano_DMZ_SYP.ppt

Overview Challenges in Traditional IH Approach Control Banding Concept Development of CB Nanotool Application of CB Nanotool 27

Activities at LLNL (examples) Weighing of dry nanopowders in glovebox Flame synthesis of garnet ceramic nanoparticles by liquid injection Synthesis of carbon nanotubes and metal oxide nanowires onto substrates within tube furnace Deposition of liquid-suspended nanoparticles onto surface using low voltage electric fields Sample preparation of various nanomaterials by cutting, slicing, grinding, polishing, etching, etc. Use of gold nanoparticles for testing carbon nanotube filters Etching nanostructures onto semiconductors Addition of quantum dots onto porous glass Growth of palladium nanocatalysts Synthesis of aerogels Machining (e.g., turning, milling) of aerogels and nanofoams for laser target assembly Sample preparation and characterization of CdSe nanodots and carbon diamonoids 28

CB Nanotool vs IH Judgment Application to current operations  36 operations at LLNL  For 21 activities, CB Nanotool recommendation was equivalent to existing controls  For 9 activities, CB Nanotool recommended higher level of control than existing controls  For 6 activities, CB Nanotool recommended lower level of control than existing controls 29

Overall (30 out of 36), CB Nanotool recommendation was equal to or more conservative than IH expert opinions LLNL decided to make CB Nanotool recommendation a requirement CB Nanotool is an essential part of LLNL’s Nanotechnology Safety Program CB Nanotool as LLNL Policy 30

International Acceptance of CB Nanotool Cited by IRSST as a “simple but effective tool [that] makes it possible to take into account all the available information (toxicity, exposure level) and to develop logical hypotheses on the missing information” Reference: IRSST (2009) Best practices guide to synthetic nanoparticle risk management. Report R-599, Institut de recherche Robert-Sauve en sante du travail (IRSST), Montreal, Quebec, Canada. Positive response from over 15 institutions at AIHce ’09 (Toronto, Canada) Invited author presentations in Germany, South Africa, Canada, and US 31

Some notes for CB Nanotool Information on health effects from nanoparticle exposure is evolving – relative importance of factors may change Ranges of values for a given factor correspond to ranges one would expect in small-scale R&D operations (e.g., amounts used, number of employees, etc.) Score for a given rating within a factor can be set according to the level of risk acceptable to the institution Some qualitative ratings can be bolstered or eventually replaced with quantitative ratings 32

Publications Paik, S.Y., Zalk, D.M., and Swuste, P. (2008) Application of a pilot control banding tool for risk level assessment and control of nanoparticle exposures. Annals of Occupational Hygiene, 52(6):419–428. Zalk, D.M, Paik, S.Y., and Swuste, P. (2009) Evaluating the Control Banding Nanotool: a qualitative risk assessment method for controlling nanoparticle exposures. Journal of Nanoparticle Research, (advance access online: DOI /s y). 33

Acknowledgments David Zalk, co-author, co-developer Paul Swuste, co-author LLNL Hazards Control Department 34

Questions? Your attention is appreciated! 35