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Effect of sample size in the evaluation of "in-field" sampling plans for aflatoxin B(1) determination in corn

Carlo Brera1, Barbara De Santis, Elisabetta Prantera

  • 1GMO and Mycotoxins Unit, Department of Veterinary Public Health and Food Safety, Italian Institute for Health (ISS), Viale Regina Elena 299, Rome, Italy. carlo.brera@iss.it

Journal of Agricultural and Food Chemistry
|July 9, 2010
PubMed

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Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
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Sample Size Calculation

Knowledge of the sample size is the first requirement to conduct random sampling or an experiment. The sample size is the total number of units, observations, or groups (in some cases) used to get the data to estimate a population parameter. As the name suggests, the sample size is that of the sample drawn from the population and differs from the population size.
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Contaminants and Errors

Effective sample preparation is crucial for accurate and reliable laboratory analysis. During this process, two significant sources of error can arise: concentration bias from improper sample splitting and contamination caused by methods used to reduce particle size, such as grinding or homogenization. Identifying and minimizing these potential errors is crucial to ensuring the validity of the analysis.
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One-Way ANOVA: Equal Sample Sizes

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One-Way ANOVA: Unequal Sample Sizes

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