Literature DB >> 20416768

Species determination - Can we detect and quantify meat adulteration?

Nicolai Z Ballin1, Finn K Vogensen, Anders H Karlsson.   

Abstract

Proper labelling of meat products is important to help fair-trade, and to enable consumers to make informed choices. However, it has been shown that labelling of species, expressed as weight/weight (w/w), on meat product labels was incorrect in more than 20% of cases. Enforcement of labelling regulations requires reliable analytical methods. Analytical methods are often based on protein or DNA measurements, which are not directly comparable to labelled meat expressed as w/w. This review discusses a wide range of analytical methods with focus on their ability to quantify and their limits of detection (LOD). In particular, problems associated with a correlation from quantitative DNA based results to meat content (w/w) are discussed. The hope is to make researchers aware of the problems of expressing DNA results as meat content (w/w) in order to find better alternatives. One alternative is to express DNA results as genome/genome equivalents.

Year:  2009        PMID: 20416768     DOI: 10.1016/j.meatsci.2009.06.003

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


  27 in total

1.  Occurrence of mislabeling in meat products using DNA-based assay.

Authors:  Angela Di Pinto; Marilisa Bottaro; Elisabetta Bonerba; Giancarlo Bozzo; Edmondo Ceci; Patrizia Marchetti; Anna Mottola; Giuseppina Tantillo
Journal:  J Food Sci Technol       Date:  2014-09-17       Impact factor: 2.701

2.  On the potential of using peculiarities of the protein intrinsic disorder distribution in mitochondrial cytochrome b to identify the source of animal meats.

Authors:  Haitham A Yacoub; Mahmoud A Sadek; Vladimir N Uversky
Journal:  Intrinsically Disord Proteins       Date:  2017-03-07

3.  Comparison of transmission FTIR and ATR spectra for discrimination between beef and chicken meat and quantification of chicken in beef meat mixture using ATR-FTIR combined with chemometrics.

Authors:  Zahra Keshavarzi; Sahar Barzegari Banadkoki; Mehrdad Faizi; Yalda Zolghadri; Farshad H Shirazi
Journal:  J Food Sci Technol       Date:  2019-11-28       Impact factor: 2.701

4.  An Integrative Glycomic Approach for Quantitative Meat Species Profiling.

Authors:  Sean Chia; Gavin Teo; Shi Jie Tay; Larry Sai Weng Loo; Corrine Wan; Lyn Chiin Sim; Hanry Yu; Ian Walsh; Kuin Tian Pang
Journal:  Foods       Date:  2022-06-30

5.  Detection of DNA from undeclared animal species in commercial canine and feline raw meat diets using qPCR.

Authors:  Allison Cox; Vincent E Defalque; Tyler J Udenberg; Samantha Barnum; Cara Wademan
Journal:  Can Vet J       Date:  2020-09       Impact factor: 1.008

6.  Determining the presence of undeclared animal species using Real-time PCR in canned and ready-to-eat meat products in South Africa.

Authors:  Sandhya Sreenivasan Tantuan; Christopher D Viljoen
Journal:  J Food Sci Technol       Date:  2020-09-10       Impact factor: 3.117

7.  Authentication of beef versus horse meat using 60 MHz 1H NMR spectroscopy.

Authors:  W Jakes; A Gerdova; M Defernez; A D Watson; C McCallum; E Limer; I J Colquhoun; D C Williamson; E K Kemsley
Journal:  Food Chem       Date:  2014-11-26       Impact factor: 7.514

8.  Species identification of Asini Corii Collas (donkey glue) by PCR amplification of cytochrome b gene.

Authors:  Yukie Kumeta; Takuro Maruyama; Hiroshi Asama; Yutaka Yamamoto; Takashi Hakamatsuka; Yukihiro Goda
Journal:  J Nat Med       Date:  2013-06-27       Impact factor: 2.343

9.  Lab-on-a-Chip-Based PCR-RFLP Assay for the Detection of Malayan Box Turtle (Cuora amboinensis) in the Food Chain and Traditional Chinese Medicines.

Authors:  Md Eaqub Ali; Sharifah Bee Abd Hamid; M A Motalib Hossain; Shuhaimi Mustafa; Md Abdul Kader; I S M Zaidul
Journal:  PLoS One       Date:  2016-10-07       Impact factor: 3.240

10.  Meat Species Identification using Loop-mediated Isothermal Amplification Assay Targeting Species-specific Mitochondrial DNA.

Authors:  Ae-Ri Cho; Hee-Jin Dong; Seongbeom Cho
Journal:  Korean J Food Sci Anim Resour       Date:  2014-12-31       Impact factor: 2.622

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