Fitness for the intended use of analytical equipment and systems

Importance of the Topic

The qualification of analytical equipment and systems ensures that laboratory measurements are reliable, accurate and traceable. This is critical for decision‐making in research, quality control and regulatory compliance in industries such as pharmaceuticals and environmental monitoring.

Objectives and Study Overview

This guidance introduces the concept of “fitness for intended use” for analytical instruments and systems. It outlines the lifecycle approach from requirements definition through decommissioning and highlights the roles of calibration, qualification and validation within established quality standards.

Methodology and Instrumentation

The document reviews:

• User Requirement Specifications (URS) to define performance criteria and data integrity needs.
• Analytical method development, including robustness testing to assess the impact of varying environmental and operational factors.
• Equipment qualification phases: Installation Qualification (IQ), Operational Qualification (OQ) and Performance Qualification (PQ).

Instrumentation examples include spectrometers, chromatography systems and automated sampling robots, each requiring tailored qualification protocols.

Main Results and Discussion

The pyramid of quality model emphasizes four levels:

• Level 1: Equipment qualification to verify baseline performance.
• Level 2: Method validation to ensure methods are fit for purpose.
• Level 3: Short‐term internal quality control for day‐to‐day monitoring.
• Level 4: Long‐term inter‐laboratory proficiency testing for sustained performance.

Calibration alone is shown to be insufficient because it does not account for fluctuating influence variables; robustness and qualification activities fill this gap.

Benefits and Practical Applications

The described approach:

• Enhances confidence in analytical results across laboratories.
• Supports compliance with ISO/IEC 17025, GMP and other sector‐specific regulations.
• Ensures long‐term data integrity and traceability, following ALCOA+ principles.

Future Trends and Opportunities

Emerging trends include digital twins for predictive maintenance, advanced automation for real‐time qualification and integration of AI for adaptive method validation. Broader adoption of lifecycle data management platforms will improve sustainability and resource efficiency.

Conclusion

Implementing a lifecycle‐based qualification framework ensures analytical equipment and systems remain fit for their intended use, delivering robust data for critical applications. Combining calibration, validation and ongoing quality assurance underpins reliable laboratory performance.

Reference

1. Schwedt G. The essential guide to analytical chemistry. Wiley‐VCH, 1997.
2. ISO/IEC 17025:2017 General requirements for the competence of testing and calibration laboratories.
3. JCGM 200:2012 International vocabulary of metrology (VIM).
4. ISO 9001:2015 Quality management systems – Requirements.
5. ISO 10012:2003 Measurement management systems – Requirements.
6. ISO 17034:2016 General requirements for reference material producers.
7. ISO 17043:2023 Conformity assessment – Proficiency testing providers.