Feasibility of discrimination of dairy creams and cream-like analogues using Raman spectroscopy and chemometric analysis
Abstract
Dairy cream and its analogues with sunflower oil, coconut oil and palm oil in different milk fat/vegetable fat ratios were prepared and analysed using Raman spectroscopy. The linear discriminant analysis was conducted in order to classify the samples. Samples were well separated and displayed distinguishing linear arrangement along the principal component that expressed the variation in lipid unsaturation. Good separation of sunflower oil and milk fat samples was obtained in contrast to the samples with coconut and palm oil, where the substantial overlapping occurred. The method permitted classifying of the samples in terms of the type of fat used. Calibrated model was extremely sensitive (100%) for dairy cream. The results indicated that it is possible to consider the Raman spectroscopy coupled with chemometric analysis as a rapid way for the detection of dairy cream adulteration with sunflower, coconut and palm oils.
Keywords:
Raman spectroscopy / Dairy cream / Vegetable oils / Discrimination / Adulteration / ChemometricsSource:
Food Chemistry, 2017, 232, 487-492Publisher:
- Elsevier Sci Ltd, Oxford
DOI: 10.1016/j.foodchem.2017.03.165
ISSN: 0308-8146
PubMed: 28490101
WoS: 000401097700057
Scopus: 2-s2.0-85017455002
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Institution/Community
Poljoprivredni fakultetTY - JOUR AU - Nedeljković, Aleksandar AU - Tomašević, Igor AU - Miočinović, Jelena AU - Pudja, Predrag PY - 2017 UR - http://aspace.agrif.bg.ac.rs/handle/123456789/4328 AB - Dairy cream and its analogues with sunflower oil, coconut oil and palm oil in different milk fat/vegetable fat ratios were prepared and analysed using Raman spectroscopy. The linear discriminant analysis was conducted in order to classify the samples. Samples were well separated and displayed distinguishing linear arrangement along the principal component that expressed the variation in lipid unsaturation. Good separation of sunflower oil and milk fat samples was obtained in contrast to the samples with coconut and palm oil, where the substantial overlapping occurred. The method permitted classifying of the samples in terms of the type of fat used. Calibrated model was extremely sensitive (100%) for dairy cream. The results indicated that it is possible to consider the Raman spectroscopy coupled with chemometric analysis as a rapid way for the detection of dairy cream adulteration with sunflower, coconut and palm oils. PB - Elsevier Sci Ltd, Oxford T2 - Food Chemistry T1 - Feasibility of discrimination of dairy creams and cream-like analogues using Raman spectroscopy and chemometric analysis EP - 492 SP - 487 VL - 232 DO - 10.1016/j.foodchem.2017.03.165 ER -
@article{ author = "Nedeljković, Aleksandar and Tomašević, Igor and Miočinović, Jelena and Pudja, Predrag", year = "2017", abstract = "Dairy cream and its analogues with sunflower oil, coconut oil and palm oil in different milk fat/vegetable fat ratios were prepared and analysed using Raman spectroscopy. The linear discriminant analysis was conducted in order to classify the samples. Samples were well separated and displayed distinguishing linear arrangement along the principal component that expressed the variation in lipid unsaturation. Good separation of sunflower oil and milk fat samples was obtained in contrast to the samples with coconut and palm oil, where the substantial overlapping occurred. The method permitted classifying of the samples in terms of the type of fat used. Calibrated model was extremely sensitive (100%) for dairy cream. The results indicated that it is possible to consider the Raman spectroscopy coupled with chemometric analysis as a rapid way for the detection of dairy cream adulteration with sunflower, coconut and palm oils.", publisher = "Elsevier Sci Ltd, Oxford", journal = "Food Chemistry", title = "Feasibility of discrimination of dairy creams and cream-like analogues using Raman spectroscopy and chemometric analysis", pages = "492-487", volume = "232", doi = "10.1016/j.foodchem.2017.03.165" }
Nedeljković, A., Tomašević, I., Miočinović, J.,& Pudja, P.. (2017). Feasibility of discrimination of dairy creams and cream-like analogues using Raman spectroscopy and chemometric analysis. in Food Chemistry Elsevier Sci Ltd, Oxford., 232, 487-492. https://doi.org/10.1016/j.foodchem.2017.03.165
Nedeljković A, Tomašević I, Miočinović J, Pudja P. Feasibility of discrimination of dairy creams and cream-like analogues using Raman spectroscopy and chemometric analysis. in Food Chemistry. 2017;232:487-492. doi:10.1016/j.foodchem.2017.03.165 .
Nedeljković, Aleksandar, Tomašević, Igor, Miočinović, Jelena, Pudja, Predrag, "Feasibility of discrimination of dairy creams and cream-like analogues using Raman spectroscopy and chemometric analysis" in Food Chemistry, 232 (2017):487-492, https://doi.org/10.1016/j.foodchem.2017.03.165 . .