PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 29, 2026Applied Sciences0 citationsOpen Access

Thermal Analysis of Selected Rennet Cheeses and Fats Extracted from These Cheeses

View Full Paper
EOEwa Ostrowska-LigęzaMWMagdalena Wirkowska-WojdyłaRBRita Brzezińska

Key Points

  • The central aim is to analyze the thermal properties of selected rennet cheeses and their fat fractions.
  • Analyzed thermal properties using differential scanning calorimetry
  • Conducted thermogravimetric analysis with Discovery TGA apparatus
  • Determined fatty acid profile by gas chromatography
  • Rennet cheeses exhibited distinct thermal properties
  • Observation of melting characteristics for cheese fats
  • Clear differentiation among cheeses and their fat fractions based on thermal characteristics

Abstract

This study presents and describes the results of thermal analysis of four different rennet cheeses: Gouda, Mozzarella, mild Camembert, and processed cheese, as well as the fat extracted from them. The purpose of the study was to analyze the thermal properties of the cheeses and their fat fractions. Accordingly, the determination of the thermal characteristics of the cheeses, melting characteristic of the fats, and melting and crystallization temperatures of the extracted fats were performed using differential scanning calorimetry. In addition, thermogravimetric analysis was carried out using the Discovery TGA apparat. In the final stage of the study, the fatty acid profile of the fat fraction extracted from the cheeses was determined using gas chromatography. The results indicated that rennet cheeses differ in thermal properties. Based on the comprehensive evaluation of the cheeses’ thermal characteristics, it was determined that these properties allowed clear differentiation between the cheeses as well as among their respective fat fractions.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Ostrowska-Ligęza et al. (2026) studied this question.

synapsesocial.com/papers/69c8c25dde0f0f753b39ca5fhttps://doi.org/10.3390/app16073221
Ask AI
Helpful
Bookmark
Share
View Full Paper