Method Validation, QC & Measurement Uncertainty

Method Validation, Quality Control & Measurement Uncertainty

Practical technical support to demonstrate method fitness for purpose, establish effective quality control and evaluate measurement uncertainty.

ISO4LAB supports laboratories in the planning, evaluation and improvement of method validation and verification studies, internal quality control systems and measurement uncertainty estimates.

Our approach connects these activities rather than treating them as separate exercises, helping laboratories use their analytical data effectively to demonstrate method performance, monitor ongoing quality and understand the uncertainty associated with reported results.

  • Why Choose ISO4LAB

    Practical Experience

  • Why Choose ISO4LAB

    International Standards

  • Why Choose ISO4LAB

    Practical Solutions

  • Why Choose ISO4LAB

    Long-Term Support

How We Can Support Your Laboratory

Method Validation & Verification

Planning, review and evaluation of validation and verification studies. Support with selecting appropriate performance characteristics, experimental design, acceptance criteria, statistical evaluation and validation reporting.

Internal & External Quality Control

Development and improvement of practical quality control systems, including QC materials, control charts, acceptance criteria, monitoring frequency, proficiency testing participation and ongoing evaluation of laboratory performance.

Measurement Uncertainty

Development and review of practical measurement uncertainty estimates using appropriate bottom-up, top-down or laboratory-data-based approaches.

Method Validation & Verification

Method validation should provide objective evidence that a method is suitable for its intended application. The extent of validation or verification therefore depends on the method, its intended use and the performance requirements that need to be demonstrated.

ISO4LAB can support the planning, statistical evaluation and reporting of studies covering relevant performance characteristics such as:

  • Selectivity and specificity
  • Working range and linearity
  • Precision
  • Bias, trueness and recovery
  • Limit of detection and quantification
  • Robustness
  • Comparison of methods
  • Other method-specific performance requirements

Quality Control That Works in Practice

Internal quality control should provide meaningful evidence that a method continues to perform as expected after validation.

ISO4LAB supports laboratories in developing practical QC systems appropriate to their methods, risks and available control materials, together with effective use of proficiency testing and other interlaboratory comparisons for independent performance evaluation.

Selection and use of QC materials
QC frequency and positioning
Control limits and acceptance criteria
Control chart design
Trend and shift detection
Investigation of out-of-control results
Review of long-term method performance
QC data integration with method review
Planning proficiency testing participation
Evaluation and investigation of PT performance

Practical Measurement Uncertainty

Measurement uncertainty should reflect the actual performance of the measurement process and provide useful information about the reliability of reported results.

ISO4LAB supports laboratories with the development, review and improvement of uncertainty estimates using approaches appropriate to the method and available data.

Support may include:

Identification of significant uncertainty sources
Use of validation and quality control data
Precision and bias components
Reference material and calibration information
Bottom-up uncertainty budgets
Top-down and empirical approaches
Combined and expanded uncertainty
Review of existing uncertainty calculations
Assessment of whether uncertainty is fit for purpose

An Integrated Approach

1.

Define Requirements

Understand the method, measurand, intended use and required analytical performance.

2.

Plan the Study

Select appropriate performance characteristics, experimental design and acceptance criteria.

3.

Evaluate Method Performance

Analyse validation or verification data and determine whether the method is fit for purpose.

4.

Establish Quality Control

Design ongoing QC activities to demonstrate that method performance remains under control.

5.

Evaluate Measurement Uncertainty

Use available method-performance, validation, QC and other relevant data to estimate uncertainty.

6.

Monitor & Improve

Review accumulated data, investigate changes and update validation, QC or uncertainty estimates when necessary.

Need Support with Method Performance?

Whether you are validating a new method, verifying an existing procedure, improving your quality control program or reviewing measurement uncertainty, ISO4LAB can provide practical technical support tailored to your laboratory and method.

Request a Consultation

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