Bibliographic Details
| Title: |
Determination of chemical, textural and sensorial properties of civil cheese consumed in Erzurum-Horasan region. |
| Authors: |
ÇAVUŞOĞLU, Duygu, BİNGÖL, Enver Barış |
| Source: |
Food & Health (2602-2834); 2025, Vol. 11 Issue 3, p247-257, 11p |
| Subject Terms: |
CHEESE analysis, HYDROGEN-ion concentration, HEATING, SENSES, FOOD quality, NUTRITIONAL value, FOOD consumption, RESEARCH funding, SEASONS, PHENOMENOLOGICAL biology, FOOD handling, TASTE, FOOD chemistry, SOCIOECONOMIC factors, BIOCHEMISTRY, MILK, DESCRIPTIVE statistics, PHYSICAL & theoretical chemistry, WATER, DIETARY fiber, ONE-way analysis of variance, FRIEDMAN test (Statistics), MEASUREMENT errors, COLOR, COMPARATIVE studies, DATA analysis software, PUBLIC health, STANDARDS |
| Geographic Terms: |
TURKEY |
| Abstract: |
Civil cheese is one of the traditional cheese types widely produced and consumed in the Horasan district of Erzurum. This study aimed to investigate some chemical, textural and sensorial properties of civil Cheese sold in Erzurum-Horasan. In this context, a total of 120 civil cheeses sold in the Erzurum-Horasan region were collected in summer and winter. The samples were analysed in terms of pH, acidity, water activity, protein, fat, salt, ash, dry matter and moisture content, and evaluated in terms of sensory characteristics, instrumental colour and textural profiles. Consequently, although the chemical properties of the traditionally or industrially produced civil cheeses were almost similar, they differed in terms of their structural qualities. Production method and seasonality are the main determinants of chemical and textural characteristics of civil cheeses. Moreover, industrially produced civil cheeses were more palatable than traditionally produced cheeses, and in addition, it was concluded that cheese consumed mainly during the summer months was more valuable than that consumed during the winter months. [ABSTRACT FROM AUTHOR] |
|
Copyright of Food & Health (2602-2834) is the property of Scientific Web Journals (SWJ) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Complementary Index |