کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5768870 1628521 2017 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Real-time PCR is a potential tool to determine the origin of milk used in cheese production
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک دانش تغذیه
پیش نمایش صفحه اول مقاله
Real-time PCR is a potential tool to determine the origin of milk used in cheese production
چکیده انگلیسی


- Common adulterations are the substitution of higher value milk (sheep's and goat's) with lower value milk (cow's).
- Cheeses' milk origin can not be identified by consumer. Real Time-PCR method can be a traceable tool of milk origins.
- 3,34% sheep's cheeses have been found from 100% sheep milk. 16,67% goat's cheeses have been found from 100% goat milk.
- A linear relationship could not be determined based on cheeses chemical composition and origin of milk.

Traceability of foods has become very important problem respect to food quality and typicalness of foods. Cheeses' milk origin cannot be identified by the consumer and they are sold at different prices under various product names. Recently, this has caused the problem of 'adulteration'. The aim of this study is to determine the amount and origin of milk used in cheese production by using real-time PCR which has been used for identification of animal species in dairy products. In this study, 90 different cheeses offered for sale in Turkey of 30 brands from various sources such as cow, sheep and goat have been studied. At the end of the study, only 36.67% of samples were determined to be produced from 100% cow milk. In the remaining 13.33%, a mixture of goat and sheep milk have been found. Only one sample of sheep cheese was produced from 100% sheep milk. In goat cheese samples, 16.67% of cheese was produced from 100% sheep milk and the origin of only 10% was identified as 100% cow milk. No linear relationship could be determined between chemical composition, fatty acids ratios and amount and origin of cheeses (P < 0.05).

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: LWT - Food Science and Technology - Volume 77, April 2017, Pages 332-336
نویسندگان
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