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An Innovative Detection of Mechanically Separated Meat in Meat Products

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26620%2F19%3APU129786" target="_blank" >RIV/00216305:26620/19:PU129786 - isvavai.cz</a>

  • Alternative codes found

    RIV/62157124:16270/19:43876502

  • Result on the web

    <a href="https://doi.org/10.1007/s12161-018-1394-8" target="_blank" >https://doi.org/10.1007/s12161-018-1394-8</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s12161-018-1394-8" target="_blank" >10.1007/s12161-018-1394-8</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    An Innovative Detection of Mechanically Separated Meat in Meat Products

  • Original language description

    In meat products, mechanically separated meat (MSM) is often used as a raw material. Usage of MSM has economic benefit for meat industries and height utilization of animal raw material. In opposite is consumer concern for height quality of meat products. In order to detect MSM, invasive/destructive methods are mainly used and their nature is largely based on demonstrating the accompanying substances or structures. This paper describes a new non-invasive method to detect bone fragments as accompanying structures of MSM and it is based on X-ray micro computed tomography (μCT). μCT method was tested on a cooked meat product containing 50% of MSM. Bone tissue detected based on the higher density via μCT was confirmed by the image analysis and histochemical method using alizarin red staining which is used for detection of bone tissue. The μCT method was verified as a suitable non-destructive method to analyze bone fragments in meat products with the possibility to determine their shape parameters.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    21101 - Food and beverages

Result continuities

  • Project

    <a href="/en/project/LQ1601" target="_blank" >LQ1601: CEITEC 2020</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    FOOD ANAL METHOD

  • ISSN

    1936-9751

  • e-ISSN

    1936-976X

  • Volume of the periodical

    1

  • Issue of the periodical within the volume

    11

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    6

  • Pages from-to

    1-6

  • UT code for WoS article

    000458637600003

  • EID of the result in the Scopus database

    2-s2.0-85056420151