University of Belgrade - Faculty of Agriculture
AgroSpace - Faculty of Agriculture Repository
    • English
    • Српски
    • Српски (Serbia)
  • English 
    • English
    • Serbian (Cyrillic)
    • Serbian (Latin)
  • Login
View Item 
  •   AgroSpace
  • Poljoprivredni fakultet
  • Radovi istraživača / Researchers’ publications
  • View Item
  •   AgroSpace
  • Poljoprivredni fakultet
  • Radovi istraživača / Researchers’ publications
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Feasibility of discrimination of dairy creams and cream-like analogues using Raman spectroscopy and chemometric analysis

Authorized Users Only
2017
Authors
Nedeljković, Aleksandar
Tomašević, Igor
Miočinović, Jelena
Pudja, Predrag
Article (Published version)
Metadata
Show full item record
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 / Chemometrics
Source:
Food Chemistry, 2017, 232, 487-492
Publisher:
  • Elsevier Sci Ltd, Oxford

DOI: 10.1016/j.foodchem.2017.03.165

ISSN: 0308-8146

PubMed: 28490101

WoS: 000401097700057

Scopus: 2-s2.0-85017455002
[ Google Scholar ]
24
20
URI
http://aspace.agrif.bg.ac.rs/handle/123456789/4328
Collections
  • Radovi istraživača / Researchers’ publications
Institution/Community
Poljoprivredni fakultet
TY  - 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 . .

DSpace software copyright © 2002-2015  DuraSpace
About the AgroSpace Repository | Send Feedback

re3dataOpenAIRERCUB
 

 

All of DSpaceCommunitiesAuthorsTitlesSubjectsThis institutionAuthorsTitlesSubjects

Statistics

View Usage Statistics

DSpace software copyright © 2002-2015  DuraSpace
About the AgroSpace Repository | Send Feedback

re3dataOpenAIRERCUB