Production of Multiplex PCR Kit for Fraud Detection in Dairy Products
Publish place: Third National Conference on Food Science and Industry
Publish Year: 1393
Type: Conference paper
Language: English
View: 1,141
This Paper With 14 Page And PDF Format Ready To Download
- Certificate
- I'm the author of the paper
Export:
Document National Code:
GHOCHANFOOD03_232
Index date: 4 February 2015
Production of Multiplex PCR Kit for Fraud Detection in Dairy Products abstract
In recent years, along with the growing purchasing power of the population, there has been an increasing demand for high quality product. The object of this study was the identification fraud and animal species (cattle, ovine and caprine) in the dairy products by using Multiplex PCR method. 30 different samples (Milk, yogurt and cheeses) were collected from companies and local product. DNA extraction was done based on the guanidinium thiocianate-silicagel method. PCR tests were specific for each species and allowed detection in feedstuffs of levels as low as 1% cattle, ovine and caprine DNA. The length of the amplified fragments with bovine primer is 470 bp, ovine 584 bp and caprine 330 bp which are equal to the expected range. The results showed that 100% of the ovine and caprine cheeses were adulterated with bovine's milk. 50% of ovine milk samples and 60% of ovine yoghurt samples were contaminated with bovine's milk. Also, the high sensitivity of Multiplex PCR in identification of animal species and detection of dairy products fraud was shown.
Production of Multiplex PCR Kit for Fraud Detection in Dairy Products Keywords:
Production of Multiplex PCR Kit for Fraud Detection in Dairy Products authors
Marjan Anvarhosseini
MSc student of Islamic Azad University, Industrial Food and sciences
Ali Mohammadi Sani
Assistant Professor of Islamic Azad University, Industrial Food and sciences
Hamid Ariannejhad
Ph.D student of Ferdowsi University of Mashhad, Animal science Department
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :