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Detection and quantification limits: basic concepts, international harmonization, and outstanding ("low-level")

L A Currie1

  • 1Chemical Science/Technical Laboratory, National Institute of Standards and Technology, Stop 8370, Gaithersburg, MD 20899-8370, USA. lloyd.currie@nist.gov

Applied Radiation and Isotopes : Including Data, Instrumentation and Methods for Use in Agriculture, Industry and Medicine
|June 5, 2004
PubMed
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This review clarifies metrological detection and quantification concepts based on IUPAC and ISO standards. It addresses challenges in low-level data analysis, including blank variations and detection limits for improved reporting.

Area of Science:

  • Analytical Chemistry
  • Metrology
  • Standardization

Background:

  • Harmonized recommendations for metrological detection and quantification are crucial for consistent scientific reporting.
  • Existing terminology and definitions may require clarification, especially for low-level measurements.
  • International standards from IUPAC and ISO provide a framework for these capabilities.

Purpose of the Study:

  • To review and clarify concepts, definitions, and terminology for metrological detection and quantification capabilities.
  • To discuss the treatment of low-level blank and variance functions in detail.
  • To highlight challenges in detection decisions and reporting of low-level data.

Main Methods:

  • Review of harmonized recommendations and norms from IUPAC and ISO.

Related Experiment Videos

  • Detailed discussion of blank and variance function treatment.
  • Analysis of specific problems in low-level data detection and reporting.

    • Main Results:

    • Clarification of fundamental concepts in metrological detection and quantification.
    • Detailed examination of blank and variance function methodologies.
    • Identification of key issues in making and reporting detection decisions for low-level data.

    Conclusions:

    • Adherence to IUPAC and ISO standards ensures robust metrological capabilities.
    • Careful consideration of blank and variance is essential for accurate low-level quantification.
    • Improved reporting of low-level data is achievable through understanding detection decision challenges.