Record nummer 2289714
Titel IAG proficiency test feed composition 2019
toon extra info.
L.W.D. van Raamsdonk, C.P.A.F. Smits, B. Hedemann, J.J.M. Vliege
Auteur(s) Raamsdonk, L.W.D. van ; Smits, C.P.A.F. ; Hedemann, B. ; Vliege, J.J.M.
Uitgever Wageningen : Wageningen Food Safety Research
Jaar van uitgave 2020
Pagina's 1 online resource (PDF, 25 pages) illustrations
Titel van reeks WFSR-report / Wageningen Food Safety Research (2019.014)
Online full text
Publicatie type Boek
Taal Engels
Toelichting (Engels) A proficiency test was organized for the microscopic determination and semi-quantification of botanic ingredients in the formulation of an animal feed, in the framework of the annual proficiency tests of the IAG - International Association for Feeding stuff Analysis, Section Feeding stuff Microscopy. The organizer of the proficiency test was Wageningen Food Safety Research, The Netherlands. The aim of the proficiency study was to provide the participants information on the performance of the local implementation of the method for composition analysis of feed. The current proficiency test was focusing on the control of the label declaration of the botanic composition of a ruminant feed. Participants received a sample of the ruminant feed and were asked to check the correctness of the label information. Therefore, the label declaration was provided together with the sample. The formulation as declared by the label showed the correct composition. Results should show the share of the different ingredients in percentages. Indicated shares were considered under- or overestimations when exceeding the limits of the IAG uncertainty interval model.A total of 22 sets of results was returned. Six of the nine ingredients had shares with intervals of which the lower limits were still higher than zero percent in the IAG estimation model. Correct estimation of these shares needs more precision than in a situation where only an upper limit applies. The reported shares of these six ingredients were within the limits of the uncertainty model in 87.9% of the total number of estimations. The correct estimations of all reports of the shares of nine ingredients is 80.3%. Six out of 22 participants delivered an errorless composition, which is 27%. Besides this, six participants made one error, three made two errors and two participants made three errors. There is no clear correlation with the method applied. Only three participants reported an indication of the correctness of the label. The current information on the capability of botanic composition analysis reveals that this technique is valuable as part of the enforcement of feed and food safety. The current lack of a complementary system for the analysis of chemical composition (ash, proteins, fat, dietary carbohydrates, fibres, etc.), which would provide parameters for the control of an established botanic composition, could be a drawback for the overall performance of the technique for botanic composition analysis. Besides a proper method description and up-to-date descriptions of ingredients, well developed skills of technicians are vital for a good performance. The use of an expert system as tool for maintenance and dissemination of expertise might improve future performance.The analysis of composition in terms of ingredients is important for detecting economic fraud and for monitoring feed safety. Botanic composition analysis and label control of feed is regulated in Regulation (EC) 767/2009. This technique can support traceability (Regulation (EC) 178/2002), for detection of fraud (Regulation (EU) 2017/625) and for categorization (Regulation (EU) 1308/2013; Regulation (EU) 2016/1821). In a broader view, composition analysis in the entire food chain can improve the effect of monitoring actions. The legislation on food labelling (Regulation (EC) 1169/2011) obliges to provide more detailed information to customers on composition and related topics.
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