Dataset Relationship Analysis for Microbiome-Based Mosquito Repellency

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Solution Overview

Problem

Existing mosquito repellents, whether synthetic or plant-derived, are often applied in high concentrations, causing skin irritation and odor, and can lead to resistance in arthropods, while natural differences in human skin microbiomes influence mosquito attraction without a clear method to harness this for repellency.

Innovation Solution

Methods and systems for identifying and modulating biochemical pathways within the skin or gut microbiomes to enhance natural repellency by stimulating metabolic pathways that generate repellent molecules in situ, using compounds that alter the microbiome composition.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If high concentrations of synthetic or plant-derived repellents are applied, then sufficient insect repellency strength and duration is achieved, but skin irritation and odor occur

Engineering Contradiction:
Improveinsect repellency effectivenessVSAvoidskin irritation and odor
Core Design Contradiction:
ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The invention enables the skin microbiome to naturally produce repellent compounds through metabolic pathways. By applying precursor compounds that the microbiome metabolizes, the system uses the body's own biological machinery to generate protection, eliminating the need for external application of irritating high-concentration repellents.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The invention uses precursor compounds as intermediaries that are metabolized by skin microbiome into active repellent molecules. These precursors can be applied at low concentrations without causing irritation, and the microbiome conversion process generates the necessary repellent activity locally at the skin surface.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If high concentrations of repellent agents are used, then adequate protection is provided, but the agents cannot be incorporated into multi-functional products like sunscreens

Engineering Contradiction:
Improveinsect repellencyVSAvoidproduct formulation flexibility
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The low concentration precursor compounds can be easily incorporated into multi-functional products without compromising stability or performance. The actual repellent activity is generated in situ by the skin microbiome, allowing flexible formulation in sunscreens, lotions, and other personal care products.

Inventive Principle:
Principle #25Self-service

3Ease of operation

If single agent repellent formulations are used, then simple application is provided, but arthropods can develop resistance

Engineering Contradiction:
Improveapplication simplicityVSAvoidlong-term effectiveness against resistance
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The invention changes the chemical parameters by using precursor compounds that are metabolized into multiple different repellent molecules by the microbiome. This dynamic generation of diverse compounds prevents arthropod resistance development while maintaining simple application of a single product formulation.

Inventive Principle:
Principle #35Parameter changes

4Reliability

If conventional repellents are applied, then insect repellency is achieved, but environmental and health issues arise

Engineering Contradiction:
Improveinsect repellencyVSAvoidenvironmental and health issues
Core Design Contradiction:
ReliabilityVSObject-generated harmful factors

Solution Approach 1:

The system uses the body's own microbiome to produce repellents, eliminating the need for external synthetic chemicals that cause environmental contamination and health concerns. The precursors applied are biodegradable and the actual repellent molecules are produced naturally by skin flora.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS20260011402A1Computational methods to determine relationships between datasets
Publication Date: 2026.01.08 CYBELE MICROBIOME INC
  • US20260011402A1 patent drawing
  • US20260011402A1 patent drawing
  • US20260011402A1 patent drawing

AI summary

A corpus of data obtained from a number of sources is analyzed using a number of computational techniques to determine relevant datasets within the corpus. Relationships between a first dataset and second dataset are determined based on one or more sets of features included in at least one of the first dataset or the second dataset.