MALDI-ToF MS and chemometric analysis as a tool for identifying wild and farmed salmon
In this study, the difference between wild and farmed salmon production was successfully profiled and differentiated by matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-ToF MS) combined with chemometric analysis. The established method based on multivariate analysi...
Published in: | Food Chemistry |
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2024
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Online Access: | https://pure.qub.ac.uk/en/publications/3c3784ea-18eb-405d-a9d5-7bbe599f6800 https://doi.org/10.1016/j.foodchem.2023.137279 https://pureadmin.qub.ac.uk/ws/files/514819806/MALDI_ToF_MS.pdf |
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ftqueensubelpubl:oai:pure.qub.ac.uk/portal:publications/3c3784ea-18eb-405d-a9d5-7bbe599f6800 2024-05-19T07:47:57+00:00 MALDI-ToF MS and chemometric analysis as a tool for identifying wild and farmed salmon Hong, Yunhe Birse, Nicholas Quinn, Brian Li, Yicong Jia, Wenyang van Ruth, Saskia Elliott, Christopher T. 2024-01-30 application/pdf https://pure.qub.ac.uk/en/publications/3c3784ea-18eb-405d-a9d5-7bbe599f6800 https://doi.org/10.1016/j.foodchem.2023.137279 https://pureadmin.qub.ac.uk/ws/files/514819806/MALDI_ToF_MS.pdf eng eng https://pure.qub.ac.uk/en/publications/3c3784ea-18eb-405d-a9d5-7bbe599f6800 info:eu-repo/semantics/openAccess Hong , Y , Birse , N , Quinn , B , Li , Y , Jia , W , van Ruth , S & Elliott , C T 2024 , ' MALDI-ToF MS and chemometric analysis as a tool for identifying wild and farmed salmon ' , Food Chemistry , vol. 432 , 137279 . https://doi.org/10.1016/j.foodchem.2023.137279 /dk/atira/pure/sustainabledevelopmentgoals/life_below_water name=SDG 14 - Life Below Water article 2024 ftqueensubelpubl https://doi.org/10.1016/j.foodchem.2023.137279 2024-05-02T00:51:52Z In this study, the difference between wild and farmed salmon production was successfully profiled and differentiated by matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-ToF MS) combined with chemometric analysis. The established method based on multivariate analysis mainly involved principal component analysis (PCA), partial least squares-discriminant analysis (PLS-DA), and orthogonal partial least squares-discriminant analysis (OPLS-DA) as the screening and verifying tools to provide insights into the distinctive features found in wild and farmed salmon products, respectively. The discrimination between farmed and wild salmon was accomplished with 100% classification accuracy using chemometric models, 100% identification accuracy was also achieved in distinguishing wild Salmo salar and Oncorhynchus nerka samples. The results of the present work suggest that the proposed method could serve as a reference for detecting salmon fraud relating to wild or farmed production and expand the application of MALDI-ToF technology further into food authenticity applications. Article in Journal/Newspaper Salmo salar Queen's University Belfast Research Portal Food Chemistry 432 137279 |
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Queen's University Belfast Research Portal |
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ftqueensubelpubl |
language |
English |
topic |
/dk/atira/pure/sustainabledevelopmentgoals/life_below_water name=SDG 14 - Life Below Water |
spellingShingle |
/dk/atira/pure/sustainabledevelopmentgoals/life_below_water name=SDG 14 - Life Below Water Hong, Yunhe Birse, Nicholas Quinn, Brian Li, Yicong Jia, Wenyang van Ruth, Saskia Elliott, Christopher T. MALDI-ToF MS and chemometric analysis as a tool for identifying wild and farmed salmon |
topic_facet |
/dk/atira/pure/sustainabledevelopmentgoals/life_below_water name=SDG 14 - Life Below Water |
description |
In this study, the difference between wild and farmed salmon production was successfully profiled and differentiated by matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-ToF MS) combined with chemometric analysis. The established method based on multivariate analysis mainly involved principal component analysis (PCA), partial least squares-discriminant analysis (PLS-DA), and orthogonal partial least squares-discriminant analysis (OPLS-DA) as the screening and verifying tools to provide insights into the distinctive features found in wild and farmed salmon products, respectively. The discrimination between farmed and wild salmon was accomplished with 100% classification accuracy using chemometric models, 100% identification accuracy was also achieved in distinguishing wild Salmo salar and Oncorhynchus nerka samples. The results of the present work suggest that the proposed method could serve as a reference for detecting salmon fraud relating to wild or farmed production and expand the application of MALDI-ToF technology further into food authenticity applications. |
format |
Article in Journal/Newspaper |
author |
Hong, Yunhe Birse, Nicholas Quinn, Brian Li, Yicong Jia, Wenyang van Ruth, Saskia Elliott, Christopher T. |
author_facet |
Hong, Yunhe Birse, Nicholas Quinn, Brian Li, Yicong Jia, Wenyang van Ruth, Saskia Elliott, Christopher T. |
author_sort |
Hong, Yunhe |
title |
MALDI-ToF MS and chemometric analysis as a tool for identifying wild and farmed salmon |
title_short |
MALDI-ToF MS and chemometric analysis as a tool for identifying wild and farmed salmon |
title_full |
MALDI-ToF MS and chemometric analysis as a tool for identifying wild and farmed salmon |
title_fullStr |
MALDI-ToF MS and chemometric analysis as a tool for identifying wild and farmed salmon |
title_full_unstemmed |
MALDI-ToF MS and chemometric analysis as a tool for identifying wild and farmed salmon |
title_sort |
maldi-tof ms and chemometric analysis as a tool for identifying wild and farmed salmon |
publishDate |
2024 |
url |
https://pure.qub.ac.uk/en/publications/3c3784ea-18eb-405d-a9d5-7bbe599f6800 https://doi.org/10.1016/j.foodchem.2023.137279 https://pureadmin.qub.ac.uk/ws/files/514819806/MALDI_ToF_MS.pdf |
genre |
Salmo salar |
genre_facet |
Salmo salar |
op_source |
Hong , Y , Birse , N , Quinn , B , Li , Y , Jia , W , van Ruth , S & Elliott , C T 2024 , ' MALDI-ToF MS and chemometric analysis as a tool for identifying wild and farmed salmon ' , Food Chemistry , vol. 432 , 137279 . https://doi.org/10.1016/j.foodchem.2023.137279 |
op_relation |
https://pure.qub.ac.uk/en/publications/3c3784ea-18eb-405d-a9d5-7bbe599f6800 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1016/j.foodchem.2023.137279 |
container_title |
Food Chemistry |
container_volume |
432 |
container_start_page |
137279 |
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1799488434598838272 |