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Related Experiment Videos

The need for larger analytical samples with granulated feed additives

M R Coleman1, A L Wicker, J W Moran

  • 1Lilly Research Laboratories, Greenfield, IN 46140-0708.

Journal of AOAC International
|September 1, 1993
PubMed
Summary

Analyzing granulated animal feed additives like tylosin requires larger sample sizes. This study shows that small samples may contain very few granules, increasing assay variability and impacting accuracy in feed analysis.

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Area of Science:

  • Animal Nutrition
  • Analytical Chemistry
  • Feed Additive Analysis

Background:

  • Accurate quantification of feed additives is crucial for animal health and regulatory compliance.
  • Granulated feed additives present unique challenges in achieving representative sampling due to non-uniform distribution.
  • Assay variability can arise from the inherent heterogeneity of granulated materials in feed matrices.

Purpose of the Study:

  • To investigate the impact of granulated feed additive (tylosin) particle number on assay variability.
  • To determine the average number of tylosin granules per gram in a feed concentrate.
  • To establish the relationship between sample size and the number of tylosin granules in animal feed analysis.

Main Methods:

  • Quantification of tylosin granules in Granulated Tylosin Concentrate using image analysis.

Related Experiment Videos

  • Determination of average granule count per gram across multiple lots.
  • Calculation of expected tylosin granules within various analytical sample weights.

    • Main Results:

    • Calculated the average number of tylosin granules per gram of concentrate.
    • Determined that a 10 g sample with 8 ppm tylosin activity contains approximately 1.16 granules.
    • Showed that a 100 g sample contains approximately 11.6 granules, highlighting increased representation.

    Conclusions:

    • Granulated feed additives necessitate careful consideration of sample size to minimize assay variability.
    • Increasing analytical sample size is essential for accurate tylosin quantification in animal feed.
    • The findings underscore the importance of robust sampling strategies for heterogeneous feed components.