Detectability of the degree of freeze damage in meat depends on analytic-tool selection.


Journal

Meat science
ISSN: 1873-4138
Titre abrégé: Meat Sci
Pays: England
ID NLM: 101160862

Informations de publication

Date de publication:
Jun 2019
Historique:
received: 01 07 2018
revised: 30 01 2019
accepted: 04 02 2019
pubmed: 21 2 2019
medline: 18 5 2019
entrez: 21 2 2019
Statut: ppublish

Résumé

Novel freezing solutions are constantly being developed to reduce quality loss in meat production chains. However, there is limited focus on identifying the sensitive analytical tools needed to directly validate product changes that result from potential improvements in freezing technology. To benchmark analytical tools relevant to meat research and production, we froze pork samples using traditional (-25 °C, -35 °C) and cryogenic freezing (-196 °C). Three classes of analyses were tested for their capacity to separate different freeze treatments: thaw loss testing, bioelectrical spectroscopy (nuclear magnetic resonance, microwave, bioimpedance) and low-temperature microscopy (cryo-SEM). A general effect of freeze treatment was detected with all bioelectrical methods. Yet, only cryo-SEM resolved quality differences between all freeze treatments, not only between cryogenic and traditional freezing. The detection sensitivity with cryo-SEM may be explained by testing meat directly in the frozen state without prior defrosting. We discuss advantages, shortcomings and cost factors in using analytical tools for quality monitoring in the meat sector.

Identifiants

pubmed: 30784871
pii: S0309-1740(18)30659-4
doi: 10.1016/j.meatsci.2019.02.002
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

8-19

Informations de copyright

Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.

Auteurs

Bjørg Egelandsdal (B)

Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, 1432 Aas, Norway. Electronic address: bjorg.egelandsdal@nmbu.no.

Sisay Mebre Abie (SM)

Department of Physics, University of Oslo, 0316 Oslo, Norway.

Stefania Bjarnadottir (S)

Animalia, Norwegian Meat and Poultry Research Centre, 0513 Oslo, Norway.

Han Zhu (H)

Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, 1432 Aas, Norway.

Hilde Kolstad (H)

Imaging Centre, Faculty of Biosciences, Norwegian University of Life Sciences, 1432 Aas, Norway.

Frøydis Bjerke (F)

Animalia, Norwegian Meat and Poultry Research Centre, 0513 Oslo, Norway.

Ørjan G Martinsen (ØG)

Department of Physics, University of Oslo, 0316 Oslo, Norway; Department of Clinical and Biomedical Engineering, Oslo University Hospital, 0372 Oslo, Norway.

Alex Mason (A)

Animalia, Norwegian Meat and Poultry Research Centre, 0513 Oslo, Norway.

Daniel Münch (D)

Faculty of Ecology and Natural Resource Management, Norwegian University of Life Sciences, 1432 Aas, Norway.

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Classifications MeSH