Multi-Analyte Test Strip Positioning for Smartphone Camera Detection
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Solution Overview
Problem
Current blood testing devices are limited to single analyte measurements, requiring separate devices and processing circuitry, and lack the ability to communicate results efficiently, making them inconvenient and costly for users who need to monitor multiple health parameters.
Innovation Solution
A multi-analyte testing device that utilizes a mobile processing device, such as a smartphone, to perform quantitative analysis of multiple analytes from a single blood sample using a test strip with multiple reagents, allowing for image capture and transmission of results, thereby reducing the need for separate devices and enhancing data communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If separate devices are used for each analyte measurement, then measurement precision for each analyte is maintained, but device complexity and cost increase
Solution Approach 1:
The patent combines multiple separate analyte testing devices into a single integrated device that can measure multiple analytes simultaneously. The device includes a single test strip with multiple reagent zones, a single light source, and a single detector array that reads all analytes at once, eliminating the need for multiple separate devices while maintaining measurement precision through dedicated reagents and optical detection for each analyte.
Solution Approach 2:
The testing device is designed with multi-functionality to perform various analyte measurements using a single device. The test strip contains multiple reagent zones that can detect different analytes (glucose, cholesterol, lactate, etc.), and the detector array can read multiple wavelengths simultaneously, allowing one device to replace multiple specialized devices.
2Measurement precision
If multiple separate testing devices are used, then each analyte can be measured accurately, but the number of processing circuitry components increases
Solution Approach 1:
The patent merges multiple processing circuitry components into a single integrated processor that handles data from all analyte measurements. The device includes one light source, one detector array, and one processing unit that coordinates all measurements, reducing the total amount of processing circuitry compared to multiple separate devices while maintaining accuracy through dedicated detection zones and wavelength-specific analysis.
3Reliability
If separate devices are used for each analyte, then device reliability for each measurement is ensured, but ease of operation decreases
Solution Approach 1:
The patent combines multiple testing operations into a single user action. The user applies one blood sample to the test strip, and the device automatically performs all analyte measurements simultaneously through multiple reagent zones and detector elements, eliminating the need for multiple separate testing procedures while maintaining reliable measurements through dedicated reagents and detection mechanisms for each analyte.
4Adaptability or versatility
If multiple devices are used for monitoring multiple health parameters, then comprehensive health monitoring is achieved, but cost increases
Solution Approach 1:
The testing device is designed with universal applicability for monitoring multiple health parameters including glucose, cholesterol, lactate, and other analytes. The test strip contains multiple reagent zones that can detect different analytes, and the detector array can read multiple wavelengths simultaneously, allowing one device to replace multiple specialized devices while providing comprehensive health monitoring 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 users to perform simultaneous tests for multiple analytes with a single blood sample, reducing the number of devices needed and allowing for easy data transmission to healthcare providers, improving convenience and reducing costs.
Implementation Method 1
The color can be correlated to the level of glucose in the sample. The test strip is then 'read' by the meter, usually by reflectance photometry.
Implementation Method 2
The color can be correlated to the level of glucose in the sample. The test strip is then 'read' by the meter, usually by reflectance photometry.
Data Source
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AI summary
An analyte testing device (400) is provided for use with a mobile processing device (402) having a camera(440) with a lens (420), a processor (442) for processing an image captured by the lens (420). The analyte testing device comprises a casing (405) and a test strip positioner (424 ).The test strip positioner (424) positions an analyte containing test strip (421) adjacent to the camera lens (420) to permit the camera to capture an image of the analyte containing test strip (421). A light source (434) is disposed within the casing (405). The light source (434) is positioned within the casing (405) to illuminate the analyte containing test strip to facilitate the capture of the image of the test strip (421). Software is contained within the mobile processing device (402) for performing a quantitative analysis of at least one analyte from the captured image, and providing an output of the results of the quantitative analysis.