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Microscopic recognition and identification of fish meal in compound feeds

  • L.W.D. van Raamsdonk*
  • , Theo Prins
  • , N. van de Rhee
  • , J.J.M. Vliege
  • , V.G.Z. Pinckaers
  • *Corresponding author for this work

    Research output: Contribution to journalArticleAcademicpeer-review

    Abstract

    Fish meal is an accepted ingredient in compound feed. Unauthorised application is primarily enforced by visual inspection, i.e., microscopy. In order to document the visually available diversity, fragments of bones and scales of 17 teleost fish species belonging to seven different orders were investigated for their diversity in the presence of structural elements: lacunae and canaliculae in bone fragments and type of growth rings and teeth of scale fragments. Despite the classical division into cellular bones and acellular bones of teleost fish, i.e., whether or not possessing osteocytes, the current examinations revealed patterns of lacunae, in some types accompanied with canaliculae, in all 17 species investigated. In total seven types of bone structures were defined, and six types of scale structures. Profiles with the relative frequency of each bone type per species were established. The share of acellular bone fragments appeared to be related to the evolutionary position of the species. Results of proficiency tests for the detection of fish meal reveal that in most cases the sensitivity and specificity for the detection of fish meal ranges from sufficient to perfect. Only some specified circumstances can hamper proper recognition and identification, most notably salmon bone fragments mimicking bone fragments from terrestrial animals, and pieces of hydrolysed proteins or minerals mimicking acellular fish bone fragments. The expertise gained in this study would help to improve the distinction between fish meal and terrestrial animal material in compound feed, and it supports the application of the species-to-species ban with respect to the valorisation of by-products from fish farms in aquafeed. In a broader perspective, the current expertise might be helpful to detect fraud throughout the feed/food production chain. The matrix of characteristics versus species is implemented in a data model running in the expert system ‘Determinator’ for facilitating identification.
    Original languageEnglish
    Pages (from-to)1364-1376
    JournalFood Additives & Contaminants. Pt. A, Chemistry, Analysis, Control, Exposure & Risk Assessment
    Volume34
    Issue number8
    DOIs
    Publication statusPublished - 2017

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 2 - Zero Hunger
      SDG 2 Zero Hunger
    2. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • alizarin
    • anosteocytic bones
    • Determinator
    • expert system
    • feed
    • fish bone structure
    • Fish meal
    • gill
    • scale

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