Keywords
food inspection
quality control
food microbiology
How to Cite
Abstract
Sampling schemes have been useful for monitoring the microbiological quality of food products and
raw materials. For assessing the performance of 2-classes sampling schemes for food microbial quality
control the lot size (N), sample size (n) and acceptance number (c) parameters were analyzed. The effects
of microorganism distribution in the lot (σ and μ) and of the difference between log of unacceptable count
limit and log of marginal count limit (log M – log m) were evaluated for 3-classes schemes. Performance of
2-classes scheme was dependent on sample size (n) and acceptance number (c). The more n increases for
a given c and defective units proportion (p), the less was the lot approval probability (Pa) and the higher
was the inspection discriminating power. For 3-classes scheme for a given n and c values, the higher was
the risk of the samples lots with a certain quality level being rejected, and the less was the difference log
M – log n value. The analyses on sampling scheme operating characteristic curve (OCC) and the scheme
performance are crucial for defining the confidence level of the product lot inspection results.
References
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