Research output: Contribution to journal › Article › peer-review
Identification of imitation cheese and imitation ice cream based on vegetable Fat using NMR spectroscopy and chemometrics. / Monakhova, Yulia B.; Godelmann, Rolf; Andlauer, Claudia; Kuballa, Thomas; Lachenmeier, Dirk W.
In: International Journal of Food Science, Vol. 2013, 367841, 01.01.2013.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Identification of imitation cheese and imitation ice cream based on vegetable Fat using NMR spectroscopy and chemometrics
AU - Monakhova, Yulia B.
AU - Godelmann, Rolf
AU - Andlauer, Claudia
AU - Kuballa, Thomas
AU - Lachenmeier, Dirk W.
PY - 2013/1/1
Y1 - 2013/1/1
N2 - Vegetable oils and fats may be used as cheap substitutes for milk fat to manufacture imitation cheese or imitation ice cream. In this study, 400 MHz nuclear magnetic resonance (NMR) spectroscopy of the fat fraction of the products was used in the context of food surveillance to validate the labeling of milk-based products. For sample preparation, the fat was extracted using an automated Weibull-Stoldt methodology. Using principal component analysis (PCA), imitation products can be easily detected. In both cheese and ice cream, a differentiation according to the type of raw material (milk fat and vegetable fat) was possible. The loadings plot shows that imitation products were distinguishable by differences in their fatty acid ratios. Furthermore, a differentiation of several types of cheese (Edamer, Gouda, Emmentaler, and Feta) was possible. Quantitative data regarding the composition of the investigated products can also be predicted from the same spectra using partial least squares (PLS) regression. The models obtained for 13 compounds in cheese (R 2 0.75-0.95) and 17 compounds in ice cream (R 2 0.83-0.99) (e.g., fatty acids and esters) were suitable for a screening analysis. NMR spectroscopy was judged as suitable for the routine analysis of dairy products based on milk or on vegetable fat substitutes.
AB - Vegetable oils and fats may be used as cheap substitutes for milk fat to manufacture imitation cheese or imitation ice cream. In this study, 400 MHz nuclear magnetic resonance (NMR) spectroscopy of the fat fraction of the products was used in the context of food surveillance to validate the labeling of milk-based products. For sample preparation, the fat was extracted using an automated Weibull-Stoldt methodology. Using principal component analysis (PCA), imitation products can be easily detected. In both cheese and ice cream, a differentiation according to the type of raw material (milk fat and vegetable fat) was possible. The loadings plot shows that imitation products were distinguishable by differences in their fatty acid ratios. Furthermore, a differentiation of several types of cheese (Edamer, Gouda, Emmentaler, and Feta) was possible. Quantitative data regarding the composition of the investigated products can also be predicted from the same spectra using partial least squares (PLS) regression. The models obtained for 13 compounds in cheese (R 2 0.75-0.95) and 17 compounds in ice cream (R 2 0.83-0.99) (e.g., fatty acids and esters) were suitable for a screening analysis. NMR spectroscopy was judged as suitable for the routine analysis of dairy products based on milk or on vegetable fat substitutes.
UR - http://www.scopus.com/inward/record.url?scp=84880849904&partnerID=8YFLogxK
U2 - 10.1155/2013/367841
DO - 10.1155/2013/367841
M3 - Article
AN - SCOPUS:84880849904
VL - 2013
JO - International Journal of Food Science
JF - International Journal of Food Science
SN - 2356-7015
M1 - 367841
ER -
ID: 39129122