Immunoassay Sensor Chip Segmentation for Crosstalk Reduction
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Solution Overview
Problem
Conventional immunoassay devices using surface plasmon-field enhanced fluorescence spectroscopy (SPFS) face challenges in achieving high sensitivity due to crosstalk between adjacent sensing regions and inefficient detection processing order, leading to suboptimal detection results.
Innovation Solution
An immunoassay method and system with a sensor chip featuring capture regions separated from each other, where the detection processing order is determined based on information about the capture regions, allowing for individual and optimized detection of materials using a specific type of capturing body, and an optical detection system that scans these regions to detect fluorescence signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a plurality of capture regions are simultaneously detected, then productivity is improved, but measurement precision deteriorates due to crosstalk between adjacent sensing regions
Solution Approach 1:
The sensor chip is divided into multiple independent capture regions that are spatially separated from each other, allowing individual detection of each region while maintaining high throughput. The separation eliminates crosstalk between regions, enabling precise measurement while processing multiple samples simultaneously.
2Measurement precision
If detection processing is performed individually for each capture region, then measurement precision is improved, but productivity deteriorates due to sequential processing time
Solution Approach 1:
The system performs individual detection processing for each capture region by spatially separating the regions on the sensor chip. This segmentation allows each region to be detected independently with high precision while the overall system maintains productivity through parallel processing capability.
3Device complexity
If capture regions are arranged adjacent to each other, then device complexity is reduced, but measurement precision deteriorates due to crosstalk influence
Solution Approach 1:
The capture regions are segmented and spatially separated on the sensor chip surface. This separation physically isolates each sensing region, eliminating crosstalk between adjacent regions and improving measurement precision while maintaining a relatively simple overall device structure.
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
The method and system enable detection processing in an optimal order, resulting in highly sensitive and accurate detection of multiple capture regions, reducing the influence of dissociation constants and environmental factors on detection results.
Implementation Method 1
a device (SPFS device) for a surface plasmon-field enhanced fluorescence spectroscopy (SPFS) using SPR
Implementation Method 2
by using surface plasmon resonance (SPR)
Data Source
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AI summary
Provided are an immunoassay method in which, by using a sensor chip on which a plurality of capture regions which capture a material to be detected by a first capturing body are arranged separated from each other, the material to be detected captured by the first capturing body is individually detected, wherein the plurality of capture regions are formed by using a different type of first capturing body depending on the type of a material to be detected to be captured, the method having: a detection processing order determination step of determining a detection processing order between the capture regions based on information about a detection processing order between the plurality of the capture regions; and a detection processing step of performing a detection processing for each of the capture regions according to the detection processing order between the plurality of the capture regions, and an immunoassay system using the method.