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Optimising uncertainty in physical sample preparation.

Jennifer A Lyn1, Michael H Ramsey, Andrew P Damant

  • 1Centre for Environmental Research, School Life Sciences, University of Sussex, Falmer, Brighton, UK.

The Analyst
|October 14, 2005
PubMed
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Optimising physical sample preparation uncertainty is crucial for accurate measurements. A new methodology, applied to myclobutanil in strawberries, advised increased spending to significantly reduce uncertainty and achieve substantial cost savings.

Area of Science:

  • Analytical Chemistry
  • Measurement Science

Background:

  • Measurement uncertainty is often dominated by physical sample preparation.
  • Existing methodologies focus on primary sampling and chemical analysis, neglecting sample preparation.
  • Optimised Uncertainty (OU) methodology offers a framework for addressing this gap.

Purpose of the Study:

  • To develop and apply a new methodology for optimising physical sample preparation uncertainty (u(prep)).
  • To integrate sample preparation uncertainty optimisation into the broader measurement process.
  • To evaluate the economic benefits of optimising sample preparation uncertainty.

Main Methods:

  • The Optimised Uncertainty (OU) methodology was extended to include physical sample preparation uncertainty (s(prep)).
  • The enhanced methodology was applied to a case study involving myclobutanil analysis in retail strawberries.

Related Experiment Videos

  • Resource allocation between sampling, sample preparation, and chemical analysis was optimised.

    • Main Results:

    • An increase in expenditure on sample preparation (+7865%) was recommended.
    • This investment led to a predicted reduction in s(prep) by 69%.
    • Optimised conditions are projected to yield overall savings of £33,000 per batch.

    Conclusions:

    • The developed methodology effectively optimizes physical sample preparation uncertainty.
    • It provides guidance for resource allocation across all stages of a measurement process.
    • Optimising sample preparation uncertainty offers significant economic advantages in chemical analysis.