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Conservative Exposure Predictions for Rapid Risk Assessment of Phase-Separated Additives in Medical Device Polymers
- Source :
- Annals of biomedical engineering. 46(1)
- Publication Year :
- 2017
-
Abstract
- A novel approach for rapid risk assessment of targeted leachables in medical device polymers is proposed and validated. Risk evaluation involves understanding the potential of these additives to migrate out of the polymer, and comparing their exposure to a toxicological threshold value. In this study, we propose that a simple diffusive transport model can be used to provide conservative exposure estimates for phase separated color additives in device polymers. This model has been illustrated using a representative phthalocyanine color additive (manganese phthalocyanine, MnPC) and polymer (PEBAX 2533) system. Sorption experiments of MnPC into PEBAX were conducted in order to experimentally determine the diffusion coefficient, D = (1.6 ± 0.5) × 10−11 cm2/s, and matrix solubility limit, C s = 0.089 wt.%, and model predicted exposure values were validated by extraction experiments. Exposure values for the color additive were compared to a toxicological threshold for a sample risk assessment. Results from this study indicate that a diffusion model-based approach to predict exposure has considerable potential for use as a rapid, screening-level tool to assess the risk of color additives and other small molecule additives in medical device polymers.
- Subjects :
- Materials science
Indoles
Threshold limit value
Polymers
Biomedical Engineering
02 engineering and technology
Isoindoles
010402 general chemistry
01 natural sciences
Risk Assessment
Toxicology
Matrix (chemical analysis)
Diffusion
chemistry.chemical_compound
Phase (matter)
Solubility
Diffusion (business)
Coloring Agents
chemistry.chemical_classification
Sorption
Polymer
Models, Theoretical
021001 nanoscience & nanotechnology
0104 chemical sciences
Chemical engineering
chemistry
Equipment and Supplies
Consumer Product Safety
Phthalocyanine
0210 nano-technology
Subjects
Details
- ISSN :
- 15739686
- Volume :
- 46
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Annals of biomedical engineering
- Accession number :
- edsair.doi.dedup.....71e008d4833c96f5c40b964844942e20