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Применение методов термического анализа для идентификации состава эмульсионных жировых продуктов

Применение методов термического анализа для идентификации состава эмульсионных жировых продуктов

Abstract

В связи с массовым применением пальмового масла для замены молочного жира возникла потребность в разработке экспресс-методов определения пальмового масла в молочных продуктах. В данной работе изучена возможность применения методов термического анализа для определения пальмового масла в эмульсионных масложировых продуктах. В качестве объекта исследования использованы образцы сметаны отечественного и импортного производства и образцы майонеза отечественного производства. Исследование состава эмульсионных масложировых продуктов проводилось методами дифференциальной сканирующей калориметрии (ДСК), термогравиметрического анализа (ТГА) и дифференциально-термического анализа (ДТА). Методы термического анализа (ДСК, ТГА/ДТА) позволяют идентифицировать майонез на наличие пальмового масла. Метод ДСК позволяет качественно идентифицировать сметану на наличие жиров немолочного происхождения по температуре плавления в области 30-50 ºС. Методом ТГА можно определять массовую долю жира по массе остатка после испарения воды. На основании проведенных исследований было установлено, что из шести исследуемых образцов сметаны пять представляют собой сметанные продукты. Во всех исследованных образцах оливкового майонеза отсутствует оливковое масло, причем в майонезах «Махеевъ» и «Персона» в составе присутствует пальмовое масло, а в майонезах «Лиез» и «Слобода» подсолнечное.

There is a need to develop methods for rapid determination of palm oil in dairy products because of the mass application of palm oil to replace milk fat. The possibility of applying thermal analysis methods to identify palm oil in emulsified fat products has been investigated in the given paper. The samples of sour cream of domestic and foreign production and the samples of mayonnaise of domestic production were used as the object of study. The study of composition of emulsified fat products was conducted using the methods of differential scanning calorimetry (DSC), thermogravimetric analysis (TGA) and differential thermal analysis (DTA). Thermal analysis methods (DSC, TGA/DTA) enable to identify the availability of palm oil in mayonnaise. DSC method enables to identify the presence of fats of non-dairy origin according to the melting temperature in the range of 30-50 deg. С in sour cream. TGA method can determine the mass fraction of fat by the residue weight after the water evaporation. The research conducted shows that five out of six investigated samples of sour cream are sour cream products. All test samples of olive mayonnaise do not have olive oil, and mayonnaise “Maheev” and “Persona” contain palm oil in their composition, and “Lies” and “Sloboda” mayonnaise contain sunflower oil.

Keywords

СМЕТАНА,МАЙОНЕЗ,ПАЛЬМОВЫЙ СТЕАРИН,ПАЛЬМОВЫЙ ОЛЕИН,ПАЛЬМОВОЕ МАСЛО,МЕТОД ДИФФЕРЕНЦИАЛЬНОЙ СКАНИРУЮЩЕЙ КАЛОРИМЕТРИИ (ДСК),ТЕРМОГРАВИМЕТРИЧЕСКИЙ АНАЛИЗ (ТГА),ДИФФЕРЕНЦИАЛЬНО-ТЕРМИЧЕСКИЙ АНАЛИЗ (ДТА),SOUR CREAM,MAYONNAISE,PALM OIL,THE METHOD OF DIFFERENTIAL SCANNING СALORIMETRY (DSC),THERMOGRAVIMETRICAL ANALYSIS (TGA),DIFFERENTIAL THERMAL ANALYSIS (DTA)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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