Nanomaterial Fate and Exposure Research: Where we are now and where - - PowerPoint PPT Presentation

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Nanomaterial Fate and Exposure Research: Where we are now and where - - PowerPoint PPT Presentation

Nanomaterial Fate and Exposure Research: Where we are now and where we need to be to model environmental exposures Greg Lowry and Bernd Nowack Carnegie Mellon University Walter J. Blenko, Sr. Professor of Civil & Env. Eng. Deputy Director,


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SLIDE 1

Nanomaterial Fate and Exposure Research:

Where we are now and where we need to be to model environmental exposures

Greg Lowry and Bernd Nowack

Carnegie Mellon University Walter J. Blenko, Sr. Professor of Civil & Env. Eng. Deputy Director, (CEINT) Empa-Swiss Federal Laboratories for Materials Science and Technology Technology & Society Laboratory Environmental Risk Assessment and Management Group

Sus-Nano 2015, March 9-11, Venice

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SLIDE 2

Environmental Fate Modeling

NM Sources/Inputs Where are the NMs? What is their form? What are the NMs doing?

Environmental Processing

Exposure Route 1 Exposure Route 2 Exposure Route 3

Effects of Interest Acute Toxicity Chronic/Multigenerational Effects Ecosystem Function/Services

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SLIDE 3

Nanomaterial Properties System Properties

Nanomaterial Descriptors

What is it?

What can happen because of it?

Nanoparticle Impacts

In the Beginning……

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SLIDE 4

Material & System Properties Material and System Interactions Material Impacts

hazard

Nanoparticle Properties System Properties Cellular and Organismal Hazard Bio-Geo-Chemical Transformations in the System Distribution in the System Ecosystem Hazard

exposure

risk

Biouptake / System Transfer Exposure Potential Bio-Distribution Bio-Transformation What is it?

Where does it go and what does it do? What can happen because of it?

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SLIDE 5

LEVEL 2 Processes Preceding Biouptake LEVEL 4 Outcomes LEVEL 1 Material and System Properties LEVEL 3 Processes Following Biouptake

Ecosystem Hazard Cellular and Organismal Hazards

Biodegradation ROS Aggregation

Nanoparticle Properties System Properties

NOM/ Macromol Ionic Composition

pH

Surfaces (bacteria, clay…) Size Composition Coating Fluid Flow Shape

Light

Environmental Stressors Collision Rate Deposition

Distribution in the System

Settling Transport Nutrient Cycling Community Composition Attachment

Product Properties

Release Fraction Milieu (solid matrix, suspension…) Amount Dissolution

Bio-Geo-Chemical Transformations

Geochemical Transformations

Biodistribution

Maternal Transfer Trophic Transfer

LEGEND

Parameter

  • r Process

Mechanism Example of Mechanism Discovered Via Integrated Research

Biouptake / System Transfer Speciation/ Exposure Potential

Availability

Biotransformation

Redox

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SLIDE 6

Key Questions to Address?

 What models, systems, and model frameworks

do we need?

 What are the key parameters and inputs needed

in those models?

 How do we measure those parameters for

nanomaterials in complex systems?

 How can we validate our models?

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SLIDE 7

Some Key Models are Required

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What Model Parameters Best Describe Fate?

Meade (ed.) USGS Circular 1133, 1995 Westerhoff and Nowack, 2013, Accounts in Chemical Research 46: 844-853.

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SLIDE 9

Most Fate Work Can Inform Models, but cannot Parameterize the Models

Ag Ag2S

Ma et al., 2013 ES&T 47 (6), pp 2527–2534; Levard et al., ES&T 2011 45 (12), 5260. Ma et al., 2014 ES Nano 1 347-357.

DI 1% SDS SR water

Hyung, et al. Environ. Sci.

  • Technol. 2006 41(1) 179-184

Coated NZVI

Time (minutes)

10 20 30 40 50 60

Log(N/N0)

  • 6
  • 4
  • 2

20% Fe0 RNIP Anaerobic PSS Coated RNIP PA Coated RNIP NOM Coated RNIP MRNIP2

Li et al., ES&T 44 (9) 3462-346

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SLIDE 10

“Functional Assay” Approach to Parameterize Models

  • RISK

Hazard Nanoparticle Properties System Properties Social & Engineered Properties

Functional Assays

Exposure

  • Aggregation rate
  • Attachment efficiency
  • Distribution coefficient
  • Dissolution rate
  • Functional

Assay-Rooted Approach

Engineering Models Risk

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SLIDE 11

This becomes more important as nanomaterial complexity increases

Saleh et al., 2015 ES Nano 2 11-18

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Modeling environmental exposure

 Material-flow modeling

 Sources: Production, use  Fate in technical systems: wastewater, solid waste,

recycling

 Provides flows to the environment

 Environmental fate modeling

 Provides predicted environmental concentrations  First tier: Simple box models  Second tier: Mechanistic models

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Information needs for release modeling

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Production and use

Sun et al., (2014) Environ. Pollut. 185: 69-76

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Modeling flows to the environment

Nano- Particles

air water soil waste incineration sewage treatment sediment landfill

Release Production Products Fate

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Material-flow model for nano-TiO2 in the EU

Sun et al., (2014) Environ. Pollut. 185: 69-76

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SLIDE 17

Environmental concentrations

Sun et al., (2014) Environ. Pollut. 185: 69-76

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Fate models for nanomaterials

Praetorius (2012) ES&T 46, 6705 Meesters (2014) ES&T 48, 5726

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Conclusions

 Life-cycle based material flow models are well

established

 Able to provide flows to the environment and estimates of

concentrations

 More production and use data needed  Transformations during use and release needs to be included  Next level of complexity involves dynamic processes

 First versions of environmental fate models available

 Rely on flow models for input  Average region vs. spatially-resolved  Heteroagglomeration as main unknown input  Experimental data on heteroagglomeration needed  Transformations only marginally covered