Gas Chromatography in Butter Authentication

Butter fraud is a serious problem that affects public health and economic interests. Technological authentication is unreliable because the composition of fatty acids depends on the season, the breed of cows, their diet, etc. As a result, a deviation detected does not necessarily mean an adulteration. Updated State Standard GOST R 52253-2004 (2025) specifies butter and butter paste from the milk of farm animals. It gives a detailed authentication procedure for the fatty phase in butter with non-dairy fats. This article introduces an algorithm for detecting dairy fraud by chromatography. The research featured samples of milk fat, animal and vegetable fats, and samples with 50 and 80% of non-dairy fat. The sterol and fatty acid profile was determined for each sample. The cholesterol content in the fat phase proved to correlate with the milk fat content. The milk fat samples and the samples with beef fat hadthe sterol fraction that consisted mostly of cholesterol. The abundance of cholesterol did not guarantee authenticity, so the fatty acid composition in the fat phase had to be measured. Replacing milk fat with beef fat reduced the content of saturated fatty acids, e.g., butyric, lauric, myristic, and palmitic acids. Vegetable fats were rich in unsaturated fatty acids, e.g., linoleic and oleic acids. Chromatographic methods were able to identify adulterated dairy products based on their sterol and fatty acid composition.

Authors

Institutions

Publication Details

Journal
Cheesemaking and buttermaking
Published
2025-09-22
DOI
https://doi.org/10.21603/2073-4018-2025-3-31
Primary Topic
Biochemical Analysis and Sensing Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Gas Chromatography in Butter Authentication

Е. С. Данилова, Ekaterina Pirogova, Т. В. Павлова, Anastasia Afanasieva
Cheesemaking and buttermaking
Biochemical Analysis and Sensing Techniques
article

Gas Chromatography in Butter Authentication

Е. С. Данилова, Ekaterina Pirogova, Т. В. Павлова, Anastasia Afanasieva
article en

Abstract

Butter fraud is a serious problem that affects public health and economic interests. Technological authentication is unreliable because the composition of fatty acids depends on the season, the breed of cows, their diet, etc. As a result, a deviation detected does not necessarily mean an adulteration. Updated State Standard GOST R 52253-2004 (2025) specifies butter and butter paste from the milk of farm animals. It gives a detailed authentication procedure for the fatty phase in butter with non-dairy fats. This article introduces an algorithm for detecting dairy fraud by chromatography. The research featured samples of milk fat, animal and vegetable fats, and samples with 50 and 80% of non-dairy fat. The sterol and fatty acid profile was determined for each sample. The cholesterol content in the fat phase proved to correlate with the milk fat content. The milk fat samples and the samples with beef fat hadthe sterol fraction that consisted mostly of cholesterol. The abundance of cholesterol did not guarantee authenticity, so the fatty acid composition in the fat phase had to be measured. Replacing milk fat with beef fat reduced the content of saturated fatty acids, e.g., butyric, lauric, myristic, and palmitic acids. Vegetable fats were rich in unsaturated fatty acids, e.g., linoleic and oleic acids. Chromatographic methods were able to identify adulterated dairy products based on their sterol and fatty acid composition.

Cheesemaking and buttermaking
All-Russian Scientific Research Institute of Refrigeration Industry (RU)
Openalex Percentile: Top 69%
Biochemical Analysis and Sensing Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.