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NanoRisk Data Evaluation: Bridging Nanoparticle Properties and Environmental Impacts

This study focuses on quantifying exposure and hazard risks of nanoparticles using a comprehensive system that includes characterization, functional assays, and data metrics to assess potential outcomes. The research involves analyzing intrinsic and extrinsic nanoparticle properties, social and engineered system properties, along with hazard and exposure endpoints. By utilizing experimental protocols and measuring meaningful processes, the study aims to bridge the gap between nanoparticle properties and environmental impacts.

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NanoRisk Data Evaluation: Bridging Nanoparticle Properties and Environmental Impacts

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  1. Nanoparticle Properties System Properties Social Properties Functional Assays • Measurement in prescribed system • Quantifies a meaningful process for exposure, hazard or both Exposure Hazard RISK

  2. Data in the CEINT NanoInformatics Knowledge Commons (NIKC) • Characterization • Meta-Data Bibliometrics Analytical Protocols (e.g. equipment, methods, temporal and spatial data) • Functional Assays • Intermediary, semi-empirical parameters that bridge the gap between nanomaterial properties and potential outcomes • Intrinsic NP • Properties • Surface Affinity • Dissolution Rates • In-vitro Bioassays • Extrinsic NP • Properties • Social& • Engineered • Properties • System • Properties Experimental Protocols (e.g. methods, temporal and spatial data) • Hazard Endpoints • Exposure Endpoints Biomagnification Persistence Bioaccumulation Bioactivity Endpoints Transformations Environmental accumulation Ecological Endpoints e.g. nutrient cycling Mobility

  3. NIKC Instance Organizational Structure

  4. Number of publications listed in Web of Science

  5. NanoPHEAT • Matrix Release factor: MRF • NICK • Response • q : w.% of NMs in the product • M : mass of product in the system • System: Becker, mesocosm, the house etc • Matrix Release Factor: fraction of NMs in a composite that are released. • Dose

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