Customizable Quality Control Beads for Diagnostic Recovery
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Solution Overview
Problem
Existing quality control materials for clinical diagnostics lack standardization, leading to varying recoveries across different measurement procedures due to differences in instrument performance characteristics and detection technologies, making it difficult to establish consistent diagnostic criteria for analyte concentrations.
Innovation Solution
Customizable quality controls are prepared by dissolving analyte-containing beads in a base matrix, allowing for precise adjustment of analyte concentrations to match specific measurement procedures, with a correlation factor used to estimate target nominal concentrations and predict recoveries, enabling comparison across multiple procedures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If commercially available quality controls are prepared by spiking analytes into a base matrix, then quality control materials can be manufactured with stability and cost-effectiveness, but varying recoveries across different measurement procedures occur due to differences in instrument performance characteristics and detection technologies
Solution Approach 1:
The patent applies parameter changes by adjusting the concentration of analytes in quality control materials based on measured recovery values. The system determines recovery for each measurement procedure and adjusts analyte concentrations to achieve target recoveries, thereby resolving the contradiction between maintaining stability and achieving consistent measurement precision across different instruments
Solution Approach 2:
The patent implements feedback by measuring the actual recovery of analytes in quality control materials using different measurement procedures, comparing these values to target recoveries, and using this information to adjust future quality control preparations. This closed-loop feedback system ensures consistent recovery across varying instrument performances while maintaining material stability
2Measurement precision
If separate recovery ranges are established for each measurement procedure, then accurate diagnostics can be made for each procedure, but the complexity of establishing and maintaining multiple recovery standards increases
Solution Approach 1:
The patent applies universality by creating a standardized methodology that can be applied across all measurement procedures. Instead of maintaining separate complex recovery standards for each procedure, the system uses a universal adjustment approach where quality control materials are prepared with analyte concentrations adjusted based on procedure-specific recovery measurements, achieving accurate diagnostics through a unified system
3Ease of manufacture
If quality controls are prepared with fixed analyte concentrations, then manufacturing and distribution is simplified, but the controls cannot be optimized for specific measurement procedures or achieve desired recoveries
Solution Approach 1:
The patent applies dynamics by transitioning from fixed, static analyte concentrations to dynamic, adjustable concentrations. The system measures recovery for each measurement procedure and adjusts analyte concentrations in quality control materials accordingly, allowing the same manufacturing process to produce optimized controls for different procedures while maintaining ease of manufacture through a systematic adjustment protocol
Data Source
AI summary
Methods are provided for end users of diagnostic measurement procedures to prepare quality controls having desired analyte recoveries, estimate recoveries of quality controls already prepared, and compare estimated and measured recoveries. To prepare a quality control containing a particular analyte, a desired recovery of a measurement procedure for the analyte can be scaled by a correlation factor to obtain a target nominal concentration of the analyte in the quality control. Alternatively, the nominal concentration of an analyte in a quality control can be scaled by a correlation factor to obtain a predicted recovery of a measurement procedure for the analyte. The correlation factors can be based on recovery data previously obtained using the measurement procedure and optionally one or more reference procedures, and can be calculated using regression analysis of these data. Each quality control can be prepared by dissolving a number of solid beads containing the analyte(s) of interest in a volume of base matrix.