First ever biomimetic tongue surface created in silicone with 3D printing
University of Leeds researchers used a highly accurate DLP 3D printed mold
Scientists at the University of Leeds have created synthetic soft surfaces for biomimetic tongue textures for the first time using 3D printing. This opens new possibilities for testing oral processing properties of food, nutritional technologies, pharmaceutics and dry mouth therapies.
UK scientists led by the University of Leeds in collaboration with the University of Edinburgh have replicated the highly sophisticated surface design of a human tongue and demonstrated that their printed synthetic silicone structure mimics the topology, elasticity and wettability of the tongue’s surface. These factors are instrumental to how food or saliva interacts with the tongue, which in turn can affect mouthfeel, swallowing, speech, nutritional intake and quality of life.
Particularly, since the onset of the COVID-19 pandemic, social distancing has posed significant challenges to carry out such sensory trials and consumer tests. A biomimetic tongue will be immensely helpful to increase development productivity and reducing manufacturers’ reliance on human trials in the early stages.
“Harnessing expertise from multiple STEM disciplines, we’ve demonstrated the unprecedented capability of a 3D printed silicone surface to mimic the mechanical performance of the human tongue”Prof Anwesha Sarkar, School of Food Science and Nutrition
The complex nature of the tongue’s biological surface has posed challenges in artificial replication, adding major obstacles to the development and screening of effective long-lasting treatments or therapies for dry mouth syndrome — roughly 10% of the general population and 30% of older people suffer from dry mouth.
Study lead author, Dr. Efren Andablo-Reyes conducted this research while a postdoctoral fellow in the School of Food Science and Nutrition at Leeds. He said: “Recreating the surface of an average human tongue comes with unique architectural challenges. Hundreds of small bud-like structures called papilla give the tongue its characteristic rough texture that in combination to the soft nature of the tissue creates a complicated landscape from a mechanical perspective.
“We focused our attention on the anterior dorsal section of the tongue where some of these papillae contain taste receptors, while many of them lack such receptors – Andablo-Reyes said. Both kinds of papillae play a critical role in providing the right mechanical friction to aid food processing in the mouth with an adequate amount saliva, providing pleasurable mouthfeel perception and proper lubrication for swallowing.
“We aimed to replicate these mechanically relevant characteristics of the human tongue in a surface that is easy to use in the lab to replicate oral processing conditions.” The study that brought together unique expertise in food colloid science, soft matter physics, dentistry, mechanical engineering and computer science is published today in the journal ACS Applied Materials & Interfaces.
“The ability to produce accurate replicas of tongue surfaces with similar structure and mechanical properties will help streamline research and development for oral care, food products and therapeutic technologies.”Dr Michael Bryant from the School of Mechanical Engineering
The team took silicone impressions of tongue surfaces from fifteen adults. The impressions were 3D optically scanned to map papillae dimensions, density and the average roughness of the tongues. The texture of a human tongue was found to resemble a random layout.
The team used computer simulations and mathematical modeling to create a 3D printed artificial surface to function as a mold containing wells with the shape and dimensions of the different papillae randomly distributed across the surface with right density. This was replica-molded against elastomers of optimized softness and wettability.
University of Edinburgh co-author, Rik Sarkar of the School of Informatics said: “The randomness in distribution of papillae appears to play an important sensory role for the tongue. We defined a new concept called collision probability to measure mechanosensing that will have large impact in this area. In the future, we will use a combination of machine learning and computational topology to create tongue models of diverse healthy and diseased individuals to address various oral conditions.”
The artificial surface was then 3D printed using digital light processing technology based in the School of Mechanical Engineering at Leeds. The team ran a series of experiments using different complex fluids to ensure that the printed surface’s wettability – how a liquid keeps contact and spreads across a surface – and the lubrication performance was the same as the human tongue impressions.
Co-author Dr Michael Bryant from the School of Mechanical Engineering at Leeds said: “The application of bio-tribological principles, the study of friction and lubrication, in the creation of this tongue-like surface is a significant step forward in this field.
“The ability to produce accurate replicas of tongue surfaces with similar structure and mechanical properties will help streamline research and development for oral care, food products and therapeutic technologies.”
Principal Investigator Anwesha Sarkar, Professor of Colloids and Surfaces at Leeds, said: “Accurately mapping and replicating the tongues surface and combining that with a material that approximates the elasticity of human tongue was no small task.
“Harnessing expertise from multiple STEM disciplines, we’ve demonstrated the unprecedented capability of a 3D printed silicone surface to mimic the mechanical performance of the human tongue.
“We believe that fabricating a synthetic surface with relevant properties that mimics the intricate architectural features, and more importantly the lubricating performance of the human tongue is paramount to gaining a quantitative understanding of how fluids interact within the oral cavity.
“This biomimetic tongue surface could also serve as a unique mechanical tool to help detect counterfeit in food and high-valued beverages based on textural attributes, which is a global concern and can help to ensure food safety.
“Ultimately, our hope is that the surface we have designed can be important in understanding how the biomechanics of the tongue underpin the fundamentals of human feeding and speech.
