A novel method for discrimination of beef and horsemeat using Raman spectroscopy

A new approach, based on the usage of Raman spectroscopy in combination with chemometrics, was developed for the rapid determination of beef adulteration with horsemeat. The data mining process of collected Raman spectra was performed with principal component analysis (PCA). Pure fat samples, extrac...

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Bibliographic Details
Published in:Food chemistry 2014-04, Vol.148, p.37-41
Main Authors: BOYACI, Ismail Hakki, TEMIZ, Havva Tümay, UYSAL, Reyhan Selin, VELIOGLU, Hasan Murat, YADEGARI, Reza Jafarzadeh, RISHKAN, Mojtaba Mahmoudi
Format: Article
Language:English
Subjects:
Animals
Biological and medical sciences
Cattle
Discriminant Analysis
Food Contamination - analysis
Food toxicology
Horses
Meat - analysis
Medical sciences
Principal Component Analysis
Spectrum Analysis, Raman - methods
Toxicology
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Summary:A new approach, based on the usage of Raman spectroscopy in combination with chemometrics, was developed for the rapid determination of beef adulteration with horsemeat. The data mining process of collected Raman spectra was performed with principal component analysis (PCA). Pure fat samples, extracted from forty-nine meat beef and horsemeat samples, were analysed using the Raman spectroscopy. All meat samples were classified successfully according to their origins. The presence of different concentrations (25%, 50%, 75%, w/w) of horsemeat in beef was also differentiated using the developed model system. This study offers a rapid assay for determination of meat adulteration by discriminating beef and horsemeat with high accuracy, a short analysis time (30s) and no requirement for time-consuming sample preparation procedures.
ISSN:0308-8146
1873-7072
DOI:10.1016/j.foodchem.2013.10.006