Literature DB >> 23403299

A fast and accurate method for controlling the correct labeling of products containing buffalo meat using High Resolution Melting (HRM) analysis.

Ioannis Sakaridis1, Ioannis Ganopoulos, Anagnostis Argiriou, Athanasios Tsaftaris.   

Abstract

The substitution of high priced meat with low cost ones and the fraudulent labeling of meat products make the identification and traceability of meat species and their processed products in the food chain important. A polymerase chain reaction followed by a High Resolution Melting (HRM) analysis was developed for species specific detection of buffalo; it was applied in six commercial meat products. A pair of specific 12S and universal 18S rRNA primers were employed and yielded DNA fragments of 220bp and 77bp, respectively. All tested products were found to contain buffalo meat and presented melting curves with at least two visible inflection points derived from the amplicons of the 12S specific and 18S universal primers. The presence of buffalo meat in meat products and the adulteration of buffalo products with unknown species were established down to a level of 0.1%. HRM was proven to be a fast and accurate technique for authentication testing of meat products.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23403299     DOI: 10.1016/j.meatsci.2012.12.017

Source DB:  PubMed          Journal:  Meat Sci        ISSN: 0309-1740            Impact factor:   5.209


  9 in total

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Authors:  Farzaneh Tafvizi; Masumeh Hashemzadegan
Journal:  J Food Sci Technol       Date:  2015-09-12       Impact factor: 2.701

2.  Quantitative high resolution melting: two methods to determine SNP allele frequencies from pooled samples.

Authors:  Roxana L Capper; Young K Jin; Petra B Lundgren; Lesa M Peplow; Mikhail V Matz; Madeleine J H van Oppen
Journal:  BMC Genet       Date:  2015-06-13       Impact factor: 2.797

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Authors:  Sahachat Singtonat; Maslin Osathanunkul
Journal:  BMC Complement Altern Med       Date:  2015-05-30       Impact factor: 3.659

4.  Reliable discrimination of 10 ungulate species using high resolution melting analysis of faecal DNA.

Authors:  Ana Ramón-Laca; Dianne Gleeson; Ivor Yockney; Michael Perry; Graham Nugent; David M Forsyth
Journal:  PLoS One       Date:  2014-03-17       Impact factor: 3.240

5.  A universal method for species identification of mammals utilizing next generation sequencing for the analysis of DNA mixtures.

Authors:  Andreas O Tillmar; Barbara Dell'Amico; Jenny Welander; Gunilla Holmlund
Journal:  PLoS One       Date:  2013-12-16       Impact factor: 3.240

6.  Rapid Identification of Rainbow Trout Adulteration in Atlantic Salmon by Raman Spectroscopy Combined with Machine Learning.

Authors:  Zeling Chen; Ting Wu; Cheng Xiang; Xiaoyan Xu; Xingguo Tian
Journal:  Molecules       Date:  2019-08-06       Impact factor: 4.411

Review 7.  The Potential Power of Bar-HRM Technology in Herbal Medicine Identification.

Authors:  Wei Sun; Jing-Jian Li; Chao Xiong; Bo Zhao; Shi-Lin Chen
Journal:  Front Plant Sci       Date:  2016-03-30       Impact factor: 5.753

8.  Monitoring of sausage products sold in Sichuan Province, China: a first comprehensive report on meat species' authenticity determination.

Authors:  Qiuchi Song; Yiwu Chen; Liming Zhao; Hongsheng Ouyang; Jun Song
Journal:  Sci Rep       Date:  2019-12-13       Impact factor: 4.379

9.  Detection of Species Substitution in the Meat Value Chain by High-Resolution Melting Analysis of Mitochondrial PCR Products.

Authors:  Jane Kagure Njaramba; Lillian Wambua; Titus Mukiama; Nelson Onzere Amugune; Jandouwe Villinger
Journal:  Foods       Date:  2021-12-13
  9 in total

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