Aromagraph-Based Scent Creation System for Olfactory Response Modeling
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Solution Overview
Problem
Current methods lack the ability to effectively model and replicate desired scent, smell, odor, aroma, and taste responses in subjects by mimicking interactions with olfactory receptors, which are crucial for emotional and cognitive effects, and do not account for individual demographic responses.
Innovation Solution
The use of Aromagraphs and digitized binding data to characterize odorant interactions with olfactory receptors, allowing for the creation of compositions that mimic desired responses by combining components to produce specific interactions with olfactory receptors, and an apparatus that processes this data to create customized scents, smells, odors, aromas, and tastes using a library of components and odorants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional scent creation methods are used, then the process is simple and quick, but the ability to model and replicate desired scent responses by mimicking olfactory receptor interactions is lacking
Solution Approach 1:
The patent creates a digital copy (aromagraph) of the desired scent's interaction with olfactory receptors. This digital representation captures the binding patterns and is used to guide the creation of replica scents, eliminating the need for subjective human olfactory evaluation and enabling precise modeling of scent responses.
Solution Approach 2:
The patent introduces an intermediary computational system that translates between odorant chemical structures and predicted olfactory receptor binding patterns. This intermediary uses machine learning models and databases to bridge the gap between chemical composition and sensory response, enabling systematic scent creation without direct human olfactory intervention.
2Adaptability or versatility
If generic scent compositions are used, then the manufacturing process is straightforward, but the ability to elicit specific emotional and cognitive responses tailored to individual demographic factors is lost
Solution Approach 1:
The patent applies local quality by tailoring scent compositions to specific demographic groups and individual preferences. The system analyzes demographic data and subject responses to create customized scent profiles that target specific emotional and cognitive responses for different populations, rather than using universal generic scents.
Solution Approach 2:
The patent introduces dynamics by making scent compositions adaptable and customizable based on demographic factors and subject responses. The system can dynamically adjust scent parameters to optimize emotional and cognitive effects for different target audiences, transforming static generic scents into adaptive personalized compositions.
3Manufacturing precision
If comprehensive Aromagraph data and demographic analysis are integrated, then customized scents eliciting desired responses can be created, but the complexity of data processing and system integration increases
Solution Approach 1:
The patent segments the complex scent creation process into distinct modular components: odorant library management, Aromagraph generation, subject response data collection, demographic analysis, and composition optimization. Each module handles a specific aspect of the process, making the overall system more manageable and easier to implement despite the comprehensive nature of the analysis.
Data Source
AI summary
Disclosed here are methods and apparati for making a desired scent, smell, odor, aroma, and/or taste. Also disclosed herein are methods and apparati for making a scent, smell, odor, aroma, and/or taste that will produce a desired response in a desired group of subjects.