Handheld NIR device : A non-targeted approach to assess authenticity of fish fillets and patties
This study evaluates the reliability of a handheld NIR device in distinguishing fillets and patties of Atlantic cod (n = 80) from those of haddock (n = 90), in comparison with a FT-NIR benchtop spectrometer. The authentication issue was faced by Linear Discriminant Analysis (LDA) and Soft Independen...
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Online Access: | http://hdl.handle.net/2434/547883 https://doi.org/10.1016/j.foodchem.2017.09.145 |
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ftunivmilanoair:oai:air.unimi.it:2434/547883 2024-02-04T09:58:47+01:00 Handheld NIR device : A non-targeted approach to assess authenticity of fish fillets and patties S. Grassi E. Casiraghi C. Alamprese S. Grassi E. Casiraghi C. Alamprese 2018-03-15 http://hdl.handle.net/2434/547883 https://doi.org/10.1016/j.foodchem.2017.09.145 eng eng Elsevier info:eu-repo/semantics/altIdentifier/pmid/29146353 info:eu-repo/semantics/altIdentifier/wos/WOS:000414961700048 volume:243 firstpage:382 lastpage:388 numberofpages:7 journal:FOOD CHEMISTRY http://hdl.handle.net/2434/547883 doi:10.1016/j.foodchem.2017.09.145 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85030702957 info:eu-repo/semantics/openAccess Atlantic cod fish authentication Haddock near infrared spectroscopy portable device analytical chemistry food science Settore AGR/15 - Scienze e Tecnologie Alimentari info:eu-repo/semantics/article 2018 ftunivmilanoair https://doi.org/10.1016/j.foodchem.2017.09.145 2024-01-09T23:37:33Z This study evaluates the reliability of a handheld NIR device in distinguishing fillets and patties of Atlantic cod (n = 80) from those of haddock (n = 90), in comparison with a FT-NIR benchtop spectrometer. The authentication issue was faced by Linear Discriminant Analysis (LDA) and Soft Independent Modelling of Class Analogy (SIMCA), pre-treating spectral data with different algorithms, and validating models both internally and externally. The best LDA models gave 100% correct classification in prediction. Sensitivity >65% and specificity >74% in prediction were calculated for the best SIMCA models. No significant differences (P >.05) were found between the two instruments by McNemar test. Thus, the work demonstrated that a handheld NIR device can be a simple, cost-effective, and reliable alternative to benchtop spectrometers in fish fillet and patty authentication. These important findings can help in improving commercial fraud fight, extending the possibility to authenticate fish species also in processed products. Article in Journal/Newspaper atlantic cod The University of Milan: Archivio Istituzionale della Ricerca (AIR) Food Chemistry 243 382 388 |
institution |
Open Polar |
collection |
The University of Milan: Archivio Istituzionale della Ricerca (AIR) |
op_collection_id |
ftunivmilanoair |
language |
English |
topic |
Atlantic cod fish authentication Haddock near infrared spectroscopy portable device analytical chemistry food science Settore AGR/15 - Scienze e Tecnologie Alimentari |
spellingShingle |
Atlantic cod fish authentication Haddock near infrared spectroscopy portable device analytical chemistry food science Settore AGR/15 - Scienze e Tecnologie Alimentari S. Grassi E. Casiraghi C. Alamprese Handheld NIR device : A non-targeted approach to assess authenticity of fish fillets and patties |
topic_facet |
Atlantic cod fish authentication Haddock near infrared spectroscopy portable device analytical chemistry food science Settore AGR/15 - Scienze e Tecnologie Alimentari |
description |
This study evaluates the reliability of a handheld NIR device in distinguishing fillets and patties of Atlantic cod (n = 80) from those of haddock (n = 90), in comparison with a FT-NIR benchtop spectrometer. The authentication issue was faced by Linear Discriminant Analysis (LDA) and Soft Independent Modelling of Class Analogy (SIMCA), pre-treating spectral data with different algorithms, and validating models both internally and externally. The best LDA models gave 100% correct classification in prediction. Sensitivity >65% and specificity >74% in prediction were calculated for the best SIMCA models. No significant differences (P >.05) were found between the two instruments by McNemar test. Thus, the work demonstrated that a handheld NIR device can be a simple, cost-effective, and reliable alternative to benchtop spectrometers in fish fillet and patty authentication. These important findings can help in improving commercial fraud fight, extending the possibility to authenticate fish species also in processed products. |
author2 |
S. Grassi E. Casiraghi C. Alamprese |
format |
Article in Journal/Newspaper |
author |
S. Grassi E. Casiraghi C. Alamprese |
author_facet |
S. Grassi E. Casiraghi C. Alamprese |
author_sort |
S. Grassi |
title |
Handheld NIR device : A non-targeted approach to assess authenticity of fish fillets and patties |
title_short |
Handheld NIR device : A non-targeted approach to assess authenticity of fish fillets and patties |
title_full |
Handheld NIR device : A non-targeted approach to assess authenticity of fish fillets and patties |
title_fullStr |
Handheld NIR device : A non-targeted approach to assess authenticity of fish fillets and patties |
title_full_unstemmed |
Handheld NIR device : A non-targeted approach to assess authenticity of fish fillets and patties |
title_sort |
handheld nir device : a non-targeted approach to assess authenticity of fish fillets and patties |
publisher |
Elsevier |
publishDate |
2018 |
url |
http://hdl.handle.net/2434/547883 https://doi.org/10.1016/j.foodchem.2017.09.145 |
genre |
atlantic cod |
genre_facet |
atlantic cod |
op_relation |
info:eu-repo/semantics/altIdentifier/pmid/29146353 info:eu-repo/semantics/altIdentifier/wos/WOS:000414961700048 volume:243 firstpage:382 lastpage:388 numberofpages:7 journal:FOOD CHEMISTRY http://hdl.handle.net/2434/547883 doi:10.1016/j.foodchem.2017.09.145 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85030702957 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1016/j.foodchem.2017.09.145 |
container_title |
Food Chemistry |
container_volume |
243 |
container_start_page |
382 |
op_container_end_page |
388 |
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1789963339701420032 |