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Probe Type II Band Alignment in One-Dimensional Van Der Waals Heterostructures Using First-Principles Calculations
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Control banding approaches for nanomaterials.

Derk H Brouwer1

  • 1TNO Research Group Quality and Safety, PO Box 360, 3700 AJ Zeist, The Netherlands. dick.brouwer@tno.nl

The Annals of Occupational Hygiene
|July 4, 2012
PubMed
Summary

Control banding (CB) offers a pragmatic approach to managing risks from hazardous substances when data is limited. Comparing six CB tools for nanomaterials reveals structural differences that impact risk assessment consistency.

Area of Science:

  • Occupational Health and Safety
  • Risk Assessment
  • Nanomaterial Safety

Background:

  • Control banding (CB) is a risk management strategy used when toxicological and exposure data are scarce.
  • CB tools are increasingly applied to emerging risks, including nanoparticles.
  • Several CB-based tools exist for nanomaterial risk management.

Purpose of the Study:

  • To compare six existing control banding tools applied to nanomaterials.
  • To identify differences in structure, applicability, and hazard/exposure band assignment among these tools.
  • To enhance the utility of CB tools for nanomaterials by clarifying their distinctions.

Main Methods:

  • Comparative analysis of six control banding tools.
  • Evaluation of tool structure, applicability domains, and band assignment methodologies.

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  • Focus on tools used for nanomaterial risk management.
  • Main Results:

    • All compared CB tools combine hazard and exposure information into risk bands.
    • Significant differences exist in the structure, applicability, and band assignment criteria across the tools.
    • These variations can lead to inconsistencies in risk assessment outcomes for nanomaterials.

    Conclusions:

    • Existing control banding tools for nanomaterials exhibit notable differences.
    • Transparently outlining these differences is crucial for users selecting appropriate tools.
    • Enhancing user understanding of CB tool variations can improve nanomaterial risk management consistency.