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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Published in:Food Chemistry
Main Authors: S. Grassi, E. Casiraghi, C. Alamprese
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier 2018
Subjects:
Online Access:http://hdl.handle.net/2434/547883
https://doi.org/10.1016/j.foodchem.2017.09.145
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spelling 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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