Cosmetic Composition Evaluation Through Individual Microbiome Networks
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Solution Overview
Problem
Existing cosmetic compositions fail to effectively demonstrate their benefits to users, particularly for skin and hair, due to the complex interactions within the skin microbiome, which are influenced by genetics and environmental factors.
Innovation Solution
A method is developed to evaluate cosmetic compositions by analyzing individual microbiome networks on the skin surface, comparing pre- and post-treatment networks, and utilizing network theory to identify changes induced by the compositions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional evaluation methods are used for cosmetic compositions, then the evaluation process is simple, but the sensitivity to detect efficiency is insufficient
Solution Approach 1:
The patent segments the population microbiome network into individual microbiome networks by subtracting the population-level effects from the overall network. This segmentation allows for sensitive detection of individual responses to cosmetic compositions, resolving the contradiction between measurement precision and method complexity by breaking down the complex population data into analyzable individual components.
Solution Approach 2:
The patent introduces the individual microbiome network as an intermediary between the population microbiome network and the cosmetic composition effects. By using this intermediary representation, the method achieves high sensitivity in detecting cosmetic efficiency while maintaining a systematic evaluation framework that manages complexity.
2Measurement precision
If population microbiome network is analyzed, then group trends are visible, but individual response sensitivity is lost
Solution Approach 1:
The patent extracts individual microbiome networks from the population microbiome network by subtracting the population-level effects. This extraction process isolates the individual-specific microbial interactions, enabling sensitive detection of individual responses to cosmetic compositions without being overwhelmed by the full population data complexity.
Solution Approach 2:
The patent performs preliminary analysis by first characterizing the population microbiome network, then uses this knowledge to guide the extraction of individual networks. This preliminary action reduces the data processing burden by focusing computational resources on the relevant individual variations after the population baseline is established.
3Reliability
If cosmetic composition benefits are subtle, then healthy skin conditions are maintained, but the benefits are not perceptible to users
Solution Approach 1:
The patent replaces traditional subjective or simple objective measurement methods with a computational network analysis approach. By substituting complex mathematical analysis of microbiome interaction networks for conventional evaluation methods, the system can detect subtle changes in skin health that are imperceptible to users but represent real cosmetic composition benefits.
Data Source
AI summary
Disclosed is a method for evaluating a cosmetic composition or a component thereof, comprising the steps of: (i) identifying a first individual microbiome network on a skin surface of a person; (ii) treating the skin surface having the identified first individual microbiome network with a cosmetic composition or the component thereof; (iii) identifying a second individual microbiome network on the skin surface that was treated; and (iv) comparing the first and second individual microbiome networks.