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Raman spectroscopy coupled with chemometric methods for the discrimination of foreign fats and oils in cream and yogurt

The adulteration of milk fat in dairy products with cheaper non-milk based fats or oils is frequently encountered in the dairy industry. In this study, Raman spectroscopy with chemometric was used for the discrimination of foreign fats and oils in milk cream and yogurt. Firstly, binary mixtures of c...

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Autores principales: Karacaglar, Nazife Nur Yazgan, Bulat, Tugba, Boyaci, Ismail Hakki, Topcu, Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taiwan Food and Drug Administration 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9298642/
https://www.ncbi.nlm.nih.gov/pubmed/30648563
http://dx.doi.org/10.1016/j.jfda.2018.06.008
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author Karacaglar, Nazife Nur Yazgan
Bulat, Tugba
Boyaci, Ismail Hakki
Topcu, Ali
author_facet Karacaglar, Nazife Nur Yazgan
Bulat, Tugba
Boyaci, Ismail Hakki
Topcu, Ali
author_sort Karacaglar, Nazife Nur Yazgan
collection PubMed
description The adulteration of milk fat in dairy products with cheaper non-milk based fats or oils is frequently encountered in the dairy industry. In this study, Raman spectroscopy with chemometric was used for the discrimination of foreign fats and oils in milk cream and yogurt. Firstly, binary mixtures of cream and oils (corn and sunflower oil), and vegetable fat blends which are potentially or currently used by the dairy industry were prepared. All fat or oil samples and their binary mixtures were examined by using Raman spectroscopy. Then, fat content of skim milk was adjusted to 3% (w/w) by the milk fat, external oils or fats, and binary mixtures, and was used in yogurt production. The lipid fraction of yogurt was extracted and characterized by Raman spectroscopy. The spectral data were then preprocessed and principal component analysis (PCA) was performed. Raman spectral data showed successful discrimination for about the source of the fats or oils. Temperature effect was also studied at six different temperatures (25, 30, 40, 50, 60 and 70 °C) in order to obtain the best spectral information. Raman spectra collected at higher temperatures were more intense. Obtained results showed that the performance of Raman spectroscopy with PCA was very promising and can be expected to provide a simple and quick way for the discrimination of foreign fats and oils in both milk cream and yogurt. Fermentation and yogurt processing affected clustering of fat samples by PCA, probably depending on some lipolysis or production of new products that can affect the Raman scattering. However, those changes did not affect differentiation of samples by Raman spectroscopy.
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spelling pubmed-92986422022-08-09 Raman spectroscopy coupled with chemometric methods for the discrimination of foreign fats and oils in cream and yogurt Karacaglar, Nazife Nur Yazgan Bulat, Tugba Boyaci, Ismail Hakki Topcu, Ali J Food Drug Anal Original Article The adulteration of milk fat in dairy products with cheaper non-milk based fats or oils is frequently encountered in the dairy industry. In this study, Raman spectroscopy with chemometric was used for the discrimination of foreign fats and oils in milk cream and yogurt. Firstly, binary mixtures of cream and oils (corn and sunflower oil), and vegetable fat blends which are potentially or currently used by the dairy industry were prepared. All fat or oil samples and their binary mixtures were examined by using Raman spectroscopy. Then, fat content of skim milk was adjusted to 3% (w/w) by the milk fat, external oils or fats, and binary mixtures, and was used in yogurt production. The lipid fraction of yogurt was extracted and characterized by Raman spectroscopy. The spectral data were then preprocessed and principal component analysis (PCA) was performed. Raman spectral data showed successful discrimination for about the source of the fats or oils. Temperature effect was also studied at six different temperatures (25, 30, 40, 50, 60 and 70 °C) in order to obtain the best spectral information. Raman spectra collected at higher temperatures were more intense. Obtained results showed that the performance of Raman spectroscopy with PCA was very promising and can be expected to provide a simple and quick way for the discrimination of foreign fats and oils in both milk cream and yogurt. Fermentation and yogurt processing affected clustering of fat samples by PCA, probably depending on some lipolysis or production of new products that can affect the Raman scattering. However, those changes did not affect differentiation of samples by Raman spectroscopy. Taiwan Food and Drug Administration 2018-07-04 /pmc/articles/PMC9298642/ /pubmed/30648563 http://dx.doi.org/10.1016/j.jfda.2018.06.008 Text en © 2019 Taiwan Food and Drug Administration https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ).
spellingShingle Original Article
Karacaglar, Nazife Nur Yazgan
Bulat, Tugba
Boyaci, Ismail Hakki
Topcu, Ali
Raman spectroscopy coupled with chemometric methods for the discrimination of foreign fats and oils in cream and yogurt
title Raman spectroscopy coupled with chemometric methods for the discrimination of foreign fats and oils in cream and yogurt
title_full Raman spectroscopy coupled with chemometric methods for the discrimination of foreign fats and oils in cream and yogurt
title_fullStr Raman spectroscopy coupled with chemometric methods for the discrimination of foreign fats and oils in cream and yogurt
title_full_unstemmed Raman spectroscopy coupled with chemometric methods for the discrimination of foreign fats and oils in cream and yogurt
title_short Raman spectroscopy coupled with chemometric methods for the discrimination of foreign fats and oils in cream and yogurt
title_sort raman spectroscopy coupled with chemometric methods for the discrimination of foreign fats and oils in cream and yogurt
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9298642/
https://www.ncbi.nlm.nih.gov/pubmed/30648563
http://dx.doi.org/10.1016/j.jfda.2018.06.008
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