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Rapid detection of bovine adipose tissue using lateral flow strip assay

Currently no rapid immunoassays are developed to identify the species content of fat tissue in mixtures. We report a simple protocol enabling the effective detection of bovine fat in highly processed materials using a lateral flow (LF) immunoassay which targets a ruminant‐specific muscle protein. A...

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Detalles Bibliográficos
Autores principales: Hsieh, Yun‐Hwa P., Gajewski, Kamil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4930502/
https://www.ncbi.nlm.nih.gov/pubmed/27386108
http://dx.doi.org/10.1002/fsn3.322
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author Hsieh, Yun‐Hwa P.
Gajewski, Kamil
author_facet Hsieh, Yun‐Hwa P.
Gajewski, Kamil
author_sort Hsieh, Yun‐Hwa P.
collection PubMed
description Currently no rapid immunoassays are developed to identify the species content of fat tissue in mixtures. We report a simple protocol enabling the effective detection of bovine fat in highly processed materials using a lateral flow (LF) immunoassay which targets a ruminant‐specific muscle protein. A portion (50 gm) of muscle‐free fat samples was rendered to separate the molten fat from the proteinaceous residue, then soluble proteins were extracted from the solid residue with 0.5 mol/L NaCl for the LF analysis. The assay could detect 2% bovine fat‐in‐pork fat, 1% bovine fat‐in‐porcine meat‐and‐bone meal, and 0.5% bovine fat‐in‐soy meal mixtures. Rendered bovine fat could be detected up to 213°C. These results demonstrate that low levels of bovine fat tissue can be detected in processed materials using an immunoassay based on the presence of the muscle protein which serves as a species marker in the fat tissue.
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spelling pubmed-49305022016-07-06 Rapid detection of bovine adipose tissue using lateral flow strip assay Hsieh, Yun‐Hwa P. Gajewski, Kamil Food Sci Nutr Original Research Currently no rapid immunoassays are developed to identify the species content of fat tissue in mixtures. We report a simple protocol enabling the effective detection of bovine fat in highly processed materials using a lateral flow (LF) immunoassay which targets a ruminant‐specific muscle protein. A portion (50 gm) of muscle‐free fat samples was rendered to separate the molten fat from the proteinaceous residue, then soluble proteins were extracted from the solid residue with 0.5 mol/L NaCl for the LF analysis. The assay could detect 2% bovine fat‐in‐pork fat, 1% bovine fat‐in‐porcine meat‐and‐bone meal, and 0.5% bovine fat‐in‐soy meal mixtures. Rendered bovine fat could be detected up to 213°C. These results demonstrate that low levels of bovine fat tissue can be detected in processed materials using an immunoassay based on the presence of the muscle protein which serves as a species marker in the fat tissue. John Wiley and Sons Inc. 2015-12-12 /pmc/articles/PMC4930502/ /pubmed/27386108 http://dx.doi.org/10.1002/fsn3.322 Text en © 2015 The Authors. Food Science & Nutrition published by Wiley Periodicals, Inc. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Hsieh, Yun‐Hwa P.
Gajewski, Kamil
Rapid detection of bovine adipose tissue using lateral flow strip assay
title Rapid detection of bovine adipose tissue using lateral flow strip assay
title_full Rapid detection of bovine adipose tissue using lateral flow strip assay
title_fullStr Rapid detection of bovine adipose tissue using lateral flow strip assay
title_full_unstemmed Rapid detection of bovine adipose tissue using lateral flow strip assay
title_short Rapid detection of bovine adipose tissue using lateral flow strip assay
title_sort rapid detection of bovine adipose tissue using lateral flow strip assay
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4930502/
https://www.ncbi.nlm.nih.gov/pubmed/27386108
http://dx.doi.org/10.1002/fsn3.322
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