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An Innovative Detection of Mechanically Separated Meat in Meat Products

  • Matej Pospiech
  • Tomas Zikmund
  • Zdeňka Javůrková
  • Jozef Kaiser
  • Bohuslava Tremlová
Article
  • 9 Downloads

Abstract

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.

Keywords

Micro computed tomography Bone fragment Meat products Histochemistry Mechanically separated meat 

Notes

Funding information

This work was supported by the project of CEITEC 2020 (LQ1601) with financial support from the Ministry of Education, Youth and Sports of the Czech Republic under the National Sustainability Programme II and CEITEC Nano Research Infrastructure (MEYS CR, 2016-2019).

Compliance with Ethical Standards

Conflict of Interest

Matej Pospiech declares that he has no conflict of interest. Tomas Zikmund declares that he has no conflict of interest. Zdeňka Javůrková declares that she has no conflict of interest. Jazef Kaser declares that he has no conflict of interest. Bohuslava Tremlová declares that she has no conflict of interest.

Human and Animal Studies

This article does not contain any studies with human participants or animal performed by any of the authors.

Informed Consent

Not applicable.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Matej Pospiech
    • 1
  • Tomas Zikmund
    • 2
  • Zdeňka Javůrková
    • 1
  • Jozef Kaiser
    • 2
  • Bohuslava Tremlová
    • 1
  1. 1.University of Veterinary and Pharmaceutical Sciences BrnoBrnoCzech Republic
  2. 2.CEITEC—Central European Institute of TechnologyBrno University of TechnologyBrnoCzech Republic

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