Applying Fourier Transform Mid Infrared Spectroscopy to Detect the Adulteration of Salmo salar with Oncorhynchus mykiss

The aim of this study was to evaluate the potential of Fourier transform infrared (FTIR) spectroscopy coupled with chemometric methods to detect fish adulteration. Muscles of Atlantic salmon (Salmo salar) (SS) and Salmon trout (Onconrhynchus mykiss) (OM) muscles were mixed in different percentages a...

Full description

Bibliographic Details
Published in:Foods
Main Authors: Nuno Sousa, Maria João Moreira, Cristina Saraiva, José M. M. M. De Almeida
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2018
Subjects:
Online Access:https://doi.org/10.3390/foods7040055
id ftmdpi:oai:mdpi.com:/2304-8158/7/4/55/
record_format openpolar
spelling ftmdpi:oai:mdpi.com:/2304-8158/7/4/55/ 2023-08-20T04:05:20+02:00 Applying Fourier Transform Mid Infrared Spectroscopy to Detect the Adulteration of Salmo salar with Oncorhynchus mykiss Nuno Sousa Maria João Moreira Cristina Saraiva José M. M. M. De Almeida agris 2018-04-05 application/pdf https://doi.org/10.3390/foods7040055 EN eng Multidisciplinary Digital Publishing Institute Food Analytical Methods https://dx.doi.org/10.3390/foods7040055 https://creativecommons.org/licenses/by/4.0/ Foods; Volume 7; Issue 4; Pages: 55 food fraud food authentication Salmo salar adulteration FTIR spectroscopy chemometrics methods Text 2018 ftmdpi https://doi.org/10.3390/foods7040055 2023-07-31T21:27:40Z The aim of this study was to evaluate the potential of Fourier transform infrared (FTIR) spectroscopy coupled with chemometric methods to detect fish adulteration. Muscles of Atlantic salmon (Salmo salar) (SS) and Salmon trout (Onconrhynchus mykiss) (OM) muscles were mixed in different percentages and transformed into mini-burgers. These were stored at 3 °C, then examined at 0, 72, 160, and 240 h for deteriorative microorganisms. Mini-burgers was submitted to Soxhlet extraction, following which lipid extracts were analyzed by FTIR. The principal component analysis (PCA) described the studied adulteration using four principal components with an explained variance of 95.60%. PCA showed that the absorbance in the spectral region from 721, 1097, 1370, 1464, 1655, 2805, to 2935, 3009 cm−1 may be attributed to biochemical fingerprints related to differences between SS and OM. The partial least squares regression (PLS-R) predicted the presence/absence of adulteration in fish samples of an external set with high accuracy. The proposed methods have the advantage of allowing quick measurements, despite the storage time of the adulterated fish. FTIR combined with chemometrics showed that a methodology to identify the adulteration of SS with OM can be established, even when stored for different periods of time. Text Atlantic salmon Salmo salar MDPI Open Access Publishing Foods 7 4 55
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic food fraud
food authentication
Salmo salar adulteration
FTIR spectroscopy
chemometrics methods
spellingShingle food fraud
food authentication
Salmo salar adulteration
FTIR spectroscopy
chemometrics methods
Nuno Sousa
Maria João Moreira
Cristina Saraiva
José M. M. M. De Almeida
Applying Fourier Transform Mid Infrared Spectroscopy to Detect the Adulteration of Salmo salar with Oncorhynchus mykiss
topic_facet food fraud
food authentication
Salmo salar adulteration
FTIR spectroscopy
chemometrics methods
description The aim of this study was to evaluate the potential of Fourier transform infrared (FTIR) spectroscopy coupled with chemometric methods to detect fish adulteration. Muscles of Atlantic salmon (Salmo salar) (SS) and Salmon trout (Onconrhynchus mykiss) (OM) muscles were mixed in different percentages and transformed into mini-burgers. These were stored at 3 °C, then examined at 0, 72, 160, and 240 h for deteriorative microorganisms. Mini-burgers was submitted to Soxhlet extraction, following which lipid extracts were analyzed by FTIR. The principal component analysis (PCA) described the studied adulteration using four principal components with an explained variance of 95.60%. PCA showed that the absorbance in the spectral region from 721, 1097, 1370, 1464, 1655, 2805, to 2935, 3009 cm−1 may be attributed to biochemical fingerprints related to differences between SS and OM. The partial least squares regression (PLS-R) predicted the presence/absence of adulteration in fish samples of an external set with high accuracy. The proposed methods have the advantage of allowing quick measurements, despite the storage time of the adulterated fish. FTIR combined with chemometrics showed that a methodology to identify the adulteration of SS with OM can be established, even when stored for different periods of time.
format Text
author Nuno Sousa
Maria João Moreira
Cristina Saraiva
José M. M. M. De Almeida
author_facet Nuno Sousa
Maria João Moreira
Cristina Saraiva
José M. M. M. De Almeida
author_sort Nuno Sousa
title Applying Fourier Transform Mid Infrared Spectroscopy to Detect the Adulteration of Salmo salar with Oncorhynchus mykiss
title_short Applying Fourier Transform Mid Infrared Spectroscopy to Detect the Adulteration of Salmo salar with Oncorhynchus mykiss
title_full Applying Fourier Transform Mid Infrared Spectroscopy to Detect the Adulteration of Salmo salar with Oncorhynchus mykiss
title_fullStr Applying Fourier Transform Mid Infrared Spectroscopy to Detect the Adulteration of Salmo salar with Oncorhynchus mykiss
title_full_unstemmed Applying Fourier Transform Mid Infrared Spectroscopy to Detect the Adulteration of Salmo salar with Oncorhynchus mykiss
title_sort applying fourier transform mid infrared spectroscopy to detect the adulteration of salmo salar with oncorhynchus mykiss
publisher Multidisciplinary Digital Publishing Institute
publishDate 2018
url https://doi.org/10.3390/foods7040055
op_coverage agris
genre Atlantic salmon
Salmo salar
genre_facet Atlantic salmon
Salmo salar
op_source Foods; Volume 7; Issue 4; Pages: 55
op_relation Food Analytical Methods
https://dx.doi.org/10.3390/foods7040055
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/foods7040055
container_title Foods
container_volume 7
container_issue 4
container_start_page 55
_version_ 1774715831444307968