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Rapid and Low-cost Prototyping of Medical Devices Using 3D Printed Molds for Liquid Injection Molding
Published on: June 27, 2014
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Strategies for Rapid Risk Assessment of Color Additives Used in Medical Devices
David M Saylor1, Vaishnavi Chandrasekar1, David D Simon1
1Center for Devices and Radiological Health, FDA, Silver Spring, Maryland 20993.
Summary
A new framework assesses risks of color additives in medical devices. This approach helps determine if further testing is needed, potentially eliminating evaluations for about 90% of scenarios.
Area of Science:
- Materials Science
- Toxicology
- Risk Assessment
Background:
- Polymeric medical devices often use color additives for identification.
- The biocompatibility risks of these additives are not fully understood.
- Current evaluation methods are costly and time-consuming.
Purpose of the Study:
- To develop a screening-level risk assessment framework for color additives in medical devices.
- To reduce the need for extensive toxicological and exposure testing.
- To provide a cost-effective method for evaluating additive safety.
Main Methods:
- Derived tolerable intake values for common color additives.
- Developed a predictive model for additive exposure based on diffusion through polymer matrices.
- Modeled diffusion coefficient (D) as a function of molecular weight (Mw) and polymer type.
- Validated exposure predictions and diffusion models using conservative estimates.
Main Results:
- Established a framework for screening-level risk assessment of color additives.
- The model predicts exposure based on diffusion properties and polymer characteristics.
- Conservative estimates indicate that approximately 90% of scenarios may not require further risk evaluation.
- A ratio of tolerable intake to exposure exceeding one suggests acceptable risk.
Conclusions:
- The developed framework offers a streamlined approach to assessing color additive risks in medical devices.
- This method can significantly reduce the number of required evaluations, saving time and resources.
- It provides a scientifically sound basis for prioritizing further risk assessments.
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