Materials properties: heterogeneity and appropriate sampling modes

Area of Science:

• Food Science
• Analytical Chemistry
• Sampling Theory

Background:

• Effective decision-making relies on accurate analytical results, which are preceded by primary sampling.
• Heterogeneous materials present significant challenges in sampling, potentially leading to errors.
• The Theory of Sampling provides a framework for managing these challenges.

Purpose of the Study:

• To elucidate the phenomenon and concepts of material heterogeneity in sampling.
• To describe the adverse effects of heterogeneity on sampling processes.
• To provide strategies for understanding, describing, and managing sampling errors caused by heterogeneity.

Main Methods:

• Discussion of sampling errors arising from material heterogeneity.
• Explanation of the principles of the Theory of Sampling.
• Conceptual analysis of managing heterogeneity in sampling processes.

Main Results:

• Identification of up to five types of sampling errors related to heterogeneous materials.
• Distinction between errors originating from the sampling target's heterogeneity and those from the sampling process itself.
• Emphasis on the necessity of understanding and managing heterogeneity to ensure reliable analytical outcomes.

Conclusions:

• Competent understanding of heterogeneous material characteristics is essential for all stakeholders in the food and feed sectors.
• Proper sampling, guided by the Theory of Sampling, is critical to counteract heterogeneity effects.
• Effective management of sampling errors is key to delivering dependable analytical results for decision-making.