FTSI

AI for Food Science: Smarter Solutions for a Tastier Tomorrow

Introduction:

The integration of artificial intelligence (AI) into food science is revolutionizing the food industry by enhancing efficiency, ensuring sustainability, and improving nutritional outcomes. With increasing demands for sustainable practices and precise nutrition, AI technologies offer groundbreaking solutions that address these challenges. Research in AI for food science at FTSI focuses on harnessing AI to innovate across the food supply chain, aligning technological advancements with industry needs and consumer demands.

Research Objective:

The primary objective of this research is to develop and implement AI-driven solutions that enhance the aroma, flavour, sustainability, and nutritional quality of foods. This involves exploring AI applications in various aspects of food science, understanding their unique benefits, and creating strategies that align with market trends and regulatory standards to enable technology commercialization.

Research Scope:

At present, the scope of this research at FTSI focuses specifically on aroma mapping at a molecular level, encompassing several critical areas:

Aroma Compound Identification:

• Molecular Profiling: Utilize AI to analyze and identify key aroma compounds in various foods at the molecular level.
• Database Development: Create comprehensive databases of aroma compounds and their molecular structures.

Scent Simulation and Modeling:

• AI Algorithms: Develop AI algorithms to predict how different molecular combinations affect aroma and flavor profiles.
• Sensory Analysis: Use AI to model sensory perceptions and simulate how humans experience different aromas.

Product Development:

• Flavor Enhancement: Apply AI insights to enhance and optimize flavor profiles in new and existing food products.
• Ingredient Substitution: Use AI to find alternative ingredients that replicate desired aromas, supporting sustainability and cost-effectiveness.

Quality Control:

• Consistency Monitoring: Implement AI for real-time monitoring of aroma consistency in food production.
• Contaminant Detection: Use AI to detect off-flavors and contaminants that affect aroma quality.

Consumer Preferences:

• Trend Analysis: Analyze consumer preferences and trends related to aroma using AI-driven data analytics.
• Product Customization: Develop personalized flavor profiles to meet individual consumer preferences based on AI analysis.