Computer simulations of food oral processing to engineer teeth cleaning

Area of Science:

• Veterinary Dentistry
• Biomechanical Engineering
• Materials Science

Background:

• Oral biofilm accumulation in pets presents a significant health concern.
• Non-invasive teeth cleaning methods, like mechanical friction during chewing, are highly desirable.
• Current pet food design lacks tools to optimize cleaning efficacy considering complex interactions.

Purpose of the Study:

• To develop computational tools for optimizing pet food design for enhanced teeth cleaning.
• To address the challenges in designing pet food by accounting for mechanical properties, surface topology, and breed variations.
• To reduce reliance on costly and time-consuming in-vivo and in-vitro testing.

Main Methods:

• Utilized Finite Element (FE) models to simulate the mechanical behavior of pet food during mastication.
• Modeled food deformation and fracture during the initial bite phase.
• Validated the in-silico model through in-vitro experimental tests.

Main Results:

• FE models successfully integrated complex parameters like food mechanics, surface topology, and breed-specific characteristics.
• Simulations demonstrated the capability to predict food-device interaction during the initial oral processing stage.
• The in-silico approach showed high fidelity in predicting cleaning efficacy.

Conclusions:

• Finite Element (FE) modeling provides an efficient and accurate method for engineering pet food for oral hygiene.
• Computer-aided design can significantly advance the development of effective, non-invasive pet dental care solutions.
• This approach reduces the need for physical trials, accelerating the design process for optimized pet food.