Colorimetric Detection Pad Using Single Factor Gradient Conversion
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Solution Overview
Problem
Existing detection methods face challenges in accurately detecting the presence and concentration of target substances in body fluids due to variations in color recognition, misinterpretation by surroundings, and the inability to track historical changes.
Innovation Solution
A detection method and pad that utilize a machine-readable code and reagent patches to capture color changes, convert images into a single factor, and calculate standard gradation values to quantify target concentrations without relying on colorimetric tables.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If colorimetric tables are used for detection, then the detection method is simple and easy to operate, but the detection accuracy is low due to color misrecognition and environmental influence
Solution Approach 1:
The patent replaces the manual visual comparison method (mechanical system) with an automated image processing system using a camera and algorithm. The system captures images of the detection area, converts colors to a single factor (L* value in CIELAB color space), and automatically determines concentration, eliminating human subjectivity and environmental interference while maintaining operational simplicity.
Solution Approach 2:
The patent transforms the color information from a two-dimensional visual comparison (colorimetric table) into a one-dimensional quantitative parameter (L* value gradient). By converting the color change into a standardized numerical scale with defined thresholds, the system achieves precise, objective measurement that is independent of environmental conditions and human perception variations.
2Device complexity
If traditional colorimetric detection is used, then the device structure is simple, but the ability to store and analyze historical data is lost
Solution Approach 1:
The patent integrates multiple functions into a single detection device: it performs real-time concentration detection, automatically stores detection results with timestamps, generates historical trend analyses, and provides both visual and numerical output. This multi-functional approach preserves the simplicity of the detection process while adding data management capabilities that were previously separate systems.
3Device complexity
If visual color comparison is used, then no additional equipment is needed, but the detection results are subject to misinterpretation by surroundings
Solution Approach 1:
The patent replaces the unreliable human visual system with a standardized digital image processing system. The camera captures objective color data, and the algorithm processes it through controlled color space conversion to L* values, eliminating the influence of surrounding colors, lighting variations, and individual perception differences that plague visual comparison methods.
Solution Approach 2:
The patent introduces an intermediary processing layer (image processing algorithm) between the detection reagent and the final result. This intermediary converts the raw color information into standardized L* gradient values, filtering out environmental noise and providing a reliable, consistent measurement that accurately reflects the target concentration regardless of surrounding conditions.
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 accurate and quantitative detection of target substances in body fluids, allows for data storage of past results, and reduces misinterpretation by standardizing color analysis.
Implementation Method 1
a detection area of which a color is changed in response to a target
Data Source
AI summary
A detection method according to the present embodiment comprises the steps of (a) photographing a first reference color area indicated by a first reference color, a second reference color area indicated by a second reference color, and a detection region reacting with a target so as to change color, (b) converting a photography result into a single element, (c) extracting a single element gradation value from the converted photography result, (d) converting the extracted single element gradation value into a standard gradation value, and (e) detecting the concentration of the target from the standard gradation value.