Distributional assumptions in food and feed commodities: how to develop fit-for-purpose sampling protocols? | Zendy

Claudia Paoletti | Zendy; Kim H. Esbensen | Zendy

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Distributional assumptions in food and feed commodities: how to develop fit-for-purpose sampling protocols?

Author(s) -

Claudia Paoletti,

Kim H. Esbensen

Publication year - 2015

Publication title -

tos forum

Language(s) - English

Resource type - Journals

eISSN - 2053-969X

pISSN - 2053-9681

DOI - 10.1255/tosf.74

Subject(s) - pooling , representativeness heuristic , sampling (signal processing) , sample (material) , sample size determination , statistics , computer science , sampling design , econometrics , process engineering , reliability engineering , data mining , mathematics , engineering , chemistry , artificial intelligence , chromatography , telecommunications , population , demography , detector , sociology

Author Summary: Bulk food and feed sampling is a multi-step procedure in which typically a composite sample is first produced by pooling primary increments, thoroughly mixed and then mass-reduced (possibly in several steps) to obtain an ultimate laboratory sample of suitable size for analysis: the test portion, or the analytical aliquot. Among all sampling steps involved in this pathway, application of composite sampling is the most critical. If the primary sample cannot be proven to be representative, all ensuing steps of mass-reduction, sample preparation and analysis are in vain, for reasons recently explained in full in the horizontal standard DS 30771, where the specific requirements for ensuring representativeness, are addressed in full.

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