Detection of adulteration with duck meat in minced lamb meat by using visible near-infrared hyperspectral imaging.

This paper described a rapid and non-destructive method based on visible near-infrared (Vis-NIR) hyperspectral imaging system (400-1000 nm) for detection adulteration with duck meat in minced lamb. The multiple average of the reference spectral and a predicted relative spatial distribution coefficient were applied in this study to reduce the noise of the spectra. The PLSR model with selected wavelengths achieved better results than others with determination of coefficients (R2P) of 0.98, and standard error of prediction (RMSEP) of 2.51%. And the prediction map of the duck minced in lamb meat was generated by applying the prediction model. The results of this study indicate the great potential of the hyperspectral technology applying to rapidly and accurately detect the meat adulteration in minced lamb meat.

[1]  A. Parente,et al.  Myoglobin as marker in meat adulteration: a UPLC method for determining the presence of pork meat in raw beef burger. , 2013, Food chemistry.

[2]  Efstathios Z. Panagou,et al.  Multispectral image analysis approach to detect adulteration of beef and pork in raw meats , 2015 .

[3]  S. Ahn,et al.  Controlled Synthesis of Icosahedral Gold Nanoparticles and Their Surface-Enhanced Raman Scattering Property , 2007 .

[4]  A. S. Rohman,et al.  Analysis of pork adulteration in beef meatball using Fourier transform infrared (FTIR) spectroscopy. , 2011, Meat science.

[5]  A. Adedeji,et al.  Assessing different processed meats for adulterants using visible-near-infrared spectroscopy. , 2018, Meat science.

[6]  Yankun Peng,et al.  A method for nondestructive prediction of pork meat quality and safety attributes by hyperspectral imaging technique , 2014 .

[7]  Y. Man,et al.  Detection of pig derivatives in food products for halal authentication by polymerase chain reaction –restriction fragment length polymorphism , 2007 .

[8]  I. Martinez,et al.  Species identification in meat products by RAPD analysis , 1998 .

[9]  Yoshio Makino,et al.  Rapid and non-destructive detection of chicken adulteration in minced beef using visible near-infrared hyperspectral imaging and machine learning , 2016 .

[10]  Gamal Elmasry,et al.  Near-infrared hyperspectral imaging for grading and classification of pork. , 2012, Meat science.

[11]  M. C. U. Araújo,et al.  The successive projections algorithm for variable selection in spectroscopic multicomponent analysis , 2001 .

[12]  Havva Tümay Temiz,et al.  A novel method for discrimination of beef and horsemeat using Raman spectroscopy. , 2014, Food chemistry.

[13]  Noha Morsy,et al.  Robust linear and non-linear models of NIR spectroscopy for detection and quantification of adulterants in fresh and frozen-thawed minced beef. , 2013, Meat science.

[14]  Carmen Gallo,et al.  Identification of cattle, llama and horse meat by near infrared reflectance or transflectance spectroscopy. , 2012, Meat science.

[15]  Yong He,et al.  Potential of hyperspectral imaging and multivariate analysis for rapid and non-invasive detection of gelatin adulteration in prawn , 2013 .

[16]  Yoshio Makino,et al.  Assessment of Visible Near-Infrared Hyperspectral Imaging as a Tool for Detection of Horsemeat Adulteration in Minced Beef , 2015, Food and Bioprocess Technology.

[17]  Aoife A. Gowen,et al.  Data handling in hyperspectral image analysis , 2011 .

[18]  Cameron Faustman,et al.  Krzywicki Revisited: Equations for Spectrophotometric Determination of Myoglobin Redox Forms in Aqueous Meat Extracts , 2006 .

[19]  Lihua Liu,et al.  Sensitive Monoclonal Antibody-based Sandwich ELISA for the Detection of Porcine Skeletal Muscle in Meat and Feed Products , 2006 .

[20]  Gamal ElMasry,et al.  Non-destructive determination of water-holding capacity in fresh beef by using NIR hyperspectral imaging , 2011 .

[21]  Gamal ElMasry,et al.  Fast detection and visualization of minced lamb meat adulteration using NIR hyperspectral imaging and multivariate image analysis. , 2013, Talanta.

[22]  George-John E. Nychas,et al.  Multispectral imaging (MSI): A promising method for the detection of minced beef adulteration with horsemeat , 2017 .

[23]  P. Allen,et al.  Visible and near infrared spectroscopy as an authentication tool: Preliminary investigation of the prediction of the ageing time of beef steaks. , 2018, Meat science.

[24]  A. Moussavi,et al.  Fraud identification in industrial meat products by multiplex PCR assay. , 2009 .

[25]  Raúl Siche,et al.  An application based on the decision tree to classify the marbling of beef by hyperspectral imaging. , 2017, Meat science.

[26]  Yankun Peng,et al.  A Nondestructive Real-Time Detection Method of Total Viable Count in Pork by Hyperspectral Imaging Technique , 2017 .

[27]  Daniel Cozzolino,et al.  Identification of animal meat muscles by visible and near infrared reflectance spectroscopy , 2004 .

[28]  I. Murray,et al.  The use of visible and near infrared reflectance spectroscopy to predict beef M. longissimus thoracis et lumborum quality attributes. , 2008, Meat science.

[29]  S. Lanteri,et al.  Detection of minced beef adulteration with turkey meat by UV-vis, NIR and MIR spectroscopy , 2013 .