Cellulose nanofiber

Food Colloidal Structures

• Food colloidal structures, including foams, emulsions, and gels, play a significant role in determining the texture, stability, and sensory characteristics of foods.
  
  

• Understanding the formation mechanisms and fundamental principles of these structures is essential for developing novel food materials and improving product quality.
  
  

• Utilizing materials such as cellulose nanofiber (CNF) and protein conjugates enables precise control of colloidal systems, supporting the development of innovative foods like plant-based meat and fat alternatives.

Cellulose nanofiber (CNF)

• Cellulose nanofiber (CNF) is a natural, renewable material with excellent mechanical strength, biodegradability, and biocompatibility, making it ideal for food applications.
  
  

• CNF can improve the stability and functionality of food colloidal systems by enhancing the viscosity, gel formation, and emulsion stability.
  
  

• Its unique open fiber network structure significantly contributes to the development of advanced plant-based foods and innovative food colloidal structures.

Precise Texture Prediction

• Precise texture prediction aims to align actual sensory perceptions with experimental data by comprehensively analyzing a wide range of textural properties.
  
  

• Analysis of nonlinear viscoelastic behavior data using instruments such as DHR, RVA, and Texture Analyzers enhances the accuracy of texture prediction.
  
  

• Machine learning and AI-based prediction models enable accurate forecasting of the textural changes in various food colloidal structures, including emulsion gels.