Color-Changing Virus Detector for Visual Density Measurement
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Solution Overview
Problem
Existing virus detection methods struggle to intuitively and accurately determine virus density, as they either lack intuition or require complex nano structures and specialized equipment, limiting their ability to quantify virus load.
Innovation Solution
A virus detection method using a virus detector with a reflective layer, resonant layer, antibody immobilization layer, and antibody layer that changes color based on antigen-antibody interaction, allowing for image analysis to determine virus arrangement and density through saturation values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If electrochemical signal analysis is used to detect viruses, then virus presence can be sensed, but the process is not intuitive and virus density cannot be determined
Solution Approach 1:
The patent employs a virus detector that changes color based on virus density, allowing intuitive visual assessment. The detector transitions from blue to green to yellow as virus density increases, enabling users to directly observe and interpret virus presence and concentration without complex signal analysis
2Ease of operation
If optical sensors with plasmonic effect are used to improve sensing intuition, then visual detection is enhanced, but complicated nano structures are required and specific optical analysis equipment is needed
Solution Approach 1:
The patent uses a disposable virus detector with a simple layered structure (substrate, resonant layer, reflective layer, antibody layer) that can be manufactured without complex nano structures. The detector provides visual color change results and is discarded after use, eliminating the need for expensive optical analysis equipment while maintaining ease of operation
3Ease of operation
If optical sensors with plasmonic effect are used to improve sensing intuition, then visual detection is enhanced, but accurate sensing requires specific optical analysis equipment due to very small optical variation
Solution Approach 1:
The patent designs a virus detector that produces large, visible color changes (blue to green to yellow) in response to virus binding and density variations. This eliminates the need to detect very small optical variations with specialized equipment, as the color changes are directly observable and provide intuitive visual feedback for both presence and density assessment
4Measurement precision
If conventional detection methods are used, then virus presence can be detected, but virus density quantification is not possible
Solution Approach 1:
The patent creates different regions on the virus detector with varying antibody densities, resulting in different color change patterns based on local virus binding. The gradient color changes across the detector surface encode virus density information, allowing quantification while maintaining detection capability
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
Enables quick and intuitive detection of virus infection and quantification of virus density by analyzing color changes, providing a visual and quantitative assessment of virus presence and load.
Implementation Method 1
when the virus detector comes in contact with a virus, a color thereof changes through an antigen-antibody interaction
Implementation Method 2
a reflective layer including metal; a resonant layer formed on the reflective layer
Data Source
AI summary
The present disclosure relates to a virus detection method that detects whether viruses are arranged in multiple layers and the density of viruses using a color change of a virus detector. A virus detection method according to an embodiment of the present disclosure includes: taking an image of a virus detector reacting with a target analysis object; and determining whether viruses are arranged in multiple layers and density of the viruses in the target analysis object in accordance with a saturation value of the image.


