Whole Blood Platelet Aggregation via Dual-Wavelength Hematocrit Correction
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Solution Overview
Problem
Existing platelet aggregation tests in whole blood samples are influenced by hematocrit levels, leading to inaccurate measurements due to the interference of red blood cells, which affects light transmittance and distorts the actual platelet activity assessment.
Innovation Solution
A system is developed to determine platelet aggregation values independently of hematocrit by using a correction value based on hematocrit-related measurements, adjusting initial platelet aggregation values using hematocrit-based corrections, and employing the Beer-Lambert law to calculate platelet aggregation values, which accounts for light attenuation and particle concentration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If light transmittance is used to measure platelet aggregation in whole blood, then platelet aggregation can be detected, but hematocrit levels interfere with measurement accuracy
Solution Approach 1:
The patent introduces an intermediary approach by using dual-wavelength light measurement. The first wavelength (e.g., 880 nm) measures total light attenuation affected by both platelets and red blood cells, while the second wavelength (e.g., 660 nm) measures attenuation primarily from red blood cells. By using the second wavelength as a reference to subtract RBC interference, the system isolates the platelet aggregation signal, thereby resolving the contradiction between detecting platelet aggregation and eliminating hematocrit interference.
2Measurement precision
If hematocrit-based correction is applied to platelet aggregation values, then measurement accuracy improves, but system complexity increases
Solution Approach 1:
The patent applies parameter changes by measuring light attenuation at two different wavelengths and using the ratio or difference between these measurements to correct for hematocrit effects. The system transforms the raw light transmittance data into corrected platelet aggregation values by applying mathematical relationships between the two wavelength measurements, thereby improving accuracy without requiring complex additional hardware.
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 system provides accurate platelet aggregation values that are substantially independent of hematocrit, ensuring reliable assessment of platelet activity by correcting for hematocrit-related artifacts.
Implementation Method 1
Calculating the platelet aggregation value may be based on an attenuation of the light transmitted through the mixture in the chamber and a concentration of particles in the whole blood sample
Data Source
AI summary
An example system includes a chamber to hold a mixture that includes a whole blood sample from a patient, a light source to illuminate the mixture in the chamber, a detector to detect light from the light source transmitted through the mixture in the chamber, and one or more processing devices to determine, based on the light detected by the detector, a platelet aggregation value of the whole blood sample that is substantially independent of a hematocrit of the whole blood sample.