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Establishing sensitivity requirements for environmental analyses from project data quality objectives.

T Georgian1, C R Mao

  • 1U.S. Army Corps of Engineers, HTRW Center of Expertise (CENWO-HX-C), 12565 West Center Rd., Omaha, NE 68144-3869, USA. thomas.georgian@usace.army.mil

Quality Assurance (San Diego, Calif.)
|January 30, 2003
PubMed
Summary
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This study presents a straightforward method for setting analytical sensitivity requirements for environmental chemical analysis. It helps determine if contaminant levels exceed action levels using measurement uncertainty, aiding method selection.

Area of Science:

  • Environmental Chemistry
  • Analytical Chemistry
  • Environmental Science

Background:

  • Environmental chemical analyses often require meeting specific data quality objectives.
  • Determining if contaminant concentrations exceed action levels (e.g., cleanup goals) is a common objective.
  • Measurement uncertainty plays a critical role in achieving these objectives.

Purpose of the Study:

  • To propose a simple strategy for establishing sensitivity requirements (quantitation limits) for environmental chemical analyses.
  • To provide a method for determining if contaminant concentrations are greater or less than a predefined action level.
  • To guide the selection of analytical methods or laboratories based on sensitivity objectives.

Main Methods:

  • Assumes contaminant concentrations are normally distributed with constant variance near the action level.

Related Experiment Videos

  • Utilizes the relative uncertainty at the laboratory's quantitation limit when the total measurement uncertainty is known.
  • Applies the strategy to identify methods or laboratories that may not meet sensitivity objectives when only laboratory uncertainty is known.

    • Main Results:

    • A practical approach to defining analytical sensitivity requirements based on measurement uncertainty.
    • The strategy allows for the determination of whether contaminant levels exceed critical action levels.
    • Provides a tool for evaluating analytical method or laboratory suitability during project planning.

    Conclusions:

    • The proposed strategy offers a simple and effective way to establish sensitivity requirements for environmental analyses.
    • It facilitates informed decision-making regarding analytical method selection and laboratory performance.
    • The approach is valuable for ensuring that analytical data adequately support environmental decision-making processes.