Fragrance Composition Modeling Using Diffusion-Based Temporal Profiles
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Solution Overview
Problem
The fragrance creation process is time-consuming and inefficient due to the need for multiple iterations of recipe adjustment, as well as the subjective nature of olfactive descriptions, which can hinder customer understanding and acceptance.
Innovation Solution
A computer-implemented method predicts the temporal fragrance profile by grouping fragrance ingredients based on diffusion measures or odor values, allowing visualization and adjustment through a graphical user interface to optimize the fragrance composition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple iterations of recipe adjustment are performed to optimize fragrance composition, then the quality and customer acceptance of the fragrance improves, but the time consumption and resource waste increase
Solution Approach 1:
The patent applies preliminary action by predicting the temporal fragrance profile before actual fragrance creation and testing. The system calculates diffusion measures and olfactive contributions of ingredients in advance, allowing perfumers to visualize and adjust the fragrance profile computationally before physical iterations, thereby reducing time-consuming trial-and-error cycles while maintaining quality
Solution Approach 2:
The patent creates a virtual copy of the fragrance composition through computational modeling. The system generates a digital representation of the fragrance profile using diffusion measures and olfactive contribution calculations, allowing perfumers to work with this virtual model to optimize the composition before physical production, thus reducing resource waste and time consumption
2Reliability
If multiple iterations of recipe adjustment are performed to optimize fragrance composition, then the quality and customer acceptance of the fragrance improves, but the resource waste increases
Solution Approach 1:
The system performs preliminary computational analysis of fragrance ingredient contributions before physical mixing and testing. By calculating diffusion measures and olfactive contributions in advance, the system allows perfumers to optimize ingredient selection and proportions virtually, reducing the need for multiple physical iterations that would consume valuable perfume ingredients
Solution Approach 2:
The patent creates virtual models of fragrance compositions to test and optimize before physical production. This computational copying allows extensive iteration without consuming physical perfume ingredients, as the system evaluates diffusion measures and olfactive contributions through mathematical calculations rather than physical experimentation
3Reliability
If the fragrance profile is optimized by assessing the composition over an extended period of time, then the temporal fragrance profile quality improves, but the creation process time increases
Solution Approach 1:
The patent replaces the mechanical/time-consuming process of physical fragrance assessment over extended periods with a computational system. The system uses diffusion measures (vapor pressure, headspace concentration) and olfactive contribution calculations to predict the temporal fragrance profile instantly, substituting long-term sensory evaluation with rapid mathematical modeling
Solution Approach 2:
The system performs preliminary calculation of the temporal fragrance profile by computing diffusion measures and olfactive contributions of all ingredients. This allows the complete temporal evolution of the fragrance to be predicted and visualized before any physical assessment takes place, eliminating the need for extended waiting periods
4Reliability
If subjective olfactive descriptions are used to communicate fragrance characteristics, then the perfumer's expertise is utilized, but customer understanding and acceptance are hindered
Solution Approach 1:
The patent transforms subjective olfactive descriptions into objective, quantifiable parameters. The system calculates diffusion measures (vapor pressure, headspace concentration) and olfactive contributions as numerical values, and visualizes them through graphical interfaces showing temporal fragrance profiles. This parameter transformation allows expert judgment to be maintained while making the information comprehensible and verifiable for customers
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method simplifies and accelerates the fragrance creation process, enhances customer understanding, and reduces resource waste by providing a clear visualization of the fragrance profile over time, enabling faster and more effective composition adjustments.
Implementation Method 1
retrieve a diffusion measure of how fast each fragrance ingredient diffuses into a headspace
Implementation Method 2
retrieve a diffusion measure of how fast each fragrance ingredient diffuses into a headspace
Data Source
AI summary
Computer-implemented methods predict the temporal profile of at least one composition comprising a plurality of fragrance ingredients which are able to provide, fragrance, odor, or smell. The methods comprise using a processor to: retrieve a diffusion measure of how fast each fragrance ingredient diffuses into a headspace; form groups of fragrance ingredients having the same or a similar diffusion measure; determine the olfactive contribution of each fragrance ingredient; calculate the total olfactive contribution of a group of fragrance ingredients as the sum of the olfactive contributions of all fragrance ingredients forming said group; and visually depict or visualize a virtual olfactive fingerprint of the at least one composition by displaying the total olfactive contributions of the groups of fragrance ingredients in an order that is based on the diffusion measures of the groups of fragrance ingredients.