Application of Near-infrared Spectroscopy for Assessing Meat Quality and Safety

[1]  Da-Wen Sun,et al.  Recent developments of hyperspectral imaging systems and their applications in detecting quality attributes of red meats: A review , 2014 .

[2]  R. Roehe,et al.  Application of near infrared reflectance spectroscopy to predict meat and meat products quality: A review. , 2009, Meat science.

[3]  N. Prieto,et al.  Ability of near infrared reflectance spectroscopy (NIRS) to estimate physical parameters of adult steers (oxen) and young cattle meat samples. , 2008, Meat science.

[4]  K. C. Lawrence,et al.  Prediction of Fat Content in Poultry Meat by Near-Infrared Transmission Analysis , 2003 .

[5]  P. D. Warriss,et al.  Meat Science: An Introductory Text , 2010 .

[6]  Gerard Downey,et al.  Prediction of Tenderness and other Quality Attributes of Beef by near Infrared Reflectance Spectroscopy between 750 and 1100 nm; Further Studies , 2001 .

[7]  Tomas Isaksson,et al.  Differentiation of Frozen and Unfrozen Beef Using Near-Infrared Spectroscopy , 1997 .

[8]  Jing Zhang,et al.  Hyperspectral scattering profiles for prediction of the microbial spoilage of beef , 2009, Defense + Commercial Sensing.

[9]  Xu Yang,et al.  Research on support vector machine evaluation model of beef tenderness. , 2012 .

[10]  Daniel Cozzolino,et al.  Visible/near infrared reflectance spectroscopy for predicting composition and tracing system of production of beef muscle , 2002 .

[11]  B. James,et al.  Testing meat tenderness using an in situ straining stage with variable pressure scanning electron microscopy , 2011 .

[12]  L. Hoffman,et al.  Prediction of the chemical composition of mutton with near infrared reflectance spectroscopy , 2007 .

[13]  F. Abeni,et al.  Characterization of different strains of broiler chicken by carcass measurements, chemical and physical parameters and NIRS on breast muscle. , 2001, Meat science.

[14]  Daniel Cozzolino,et al.  Predicting intramuscular fat, moisture and Warner-Bratzler shear force in pork muscle using near infrared reflectance spectroscopy , 2006 .

[15]  D. V. Byrne,et al.  Warmed-over flavour in porcine meat - a combined spectroscopic, sensory and chemometric study. , 2000, Meat science.

[16]  Wei Wang,et al.  Prediction of Pork Meat Total Viable Bacteria Count Using Hyperspectral Imaging System and Support Vector Machines , 2008 .

[17]  Yankun Peng,et al.  Prediction of Beef Quality Attributes using Hyperspectral Scattering Imaging Technique , 2009 .

[18]  Yankun Peng,et al.  Prediction of beef quality attributes using VIS/NIR hyperspectral scattering imaging technique , 2012 .

[19]  Qian Zhang,et al.  Development of near infrared reflectance spectroscopy to predict chemical composition with a wide range of variability in beef. , 2014, Meat science.

[20]  Fang Cheng,et al.  [Online determination of pH in fresh pork by visible/near-infrared spectroscopy]. , 2010, Guang pu xue yu guang pu fen xi = Guang pu.

[21]  Yankun Peng,et al.  Real-time Evaluation System of Pork Freshness based on Multi-channel Near-infrared Spectroscopy , 2012 .

[22]  D. Alomar,et al.  Chemical and discriminant analysis of bovine meat by near infrared reflectance spectroscopy (NIRS). , 2003, Meat science.

[23]  G. Geesink,et al.  Prediction of pork quality attributes from near infrared reflectance spectra. , 2003, Meat science.

[24]  A. Peirs,et al.  Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review , 2007 .

[25]  Y. R. Chen,et al.  Near-infrared reflectance analysis for predicting beef longissimus tenderness. , 1998, Journal of animal science.

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

[27]  P. Williams,et al.  Comparison of Commercial near Infrared Transmittance and Reflectance Instruments for Analysis of Whole Grains and Seeds , 1993 .

[28]  E. Lanza.  Determination of Moisture, Protein, Fat, and Calories in Raw Pork and Beef By Near Infrared Spectroscopy , 1983 .

[29]  Yong He,et al.  Theory and application of near infrared reflectance spectroscopy in determination of food quality , 2007 .

[30]  Yankun Peng,et al.  Simultaneous determination of tenderness and Escherichia coli contamination of pork using hyperspectral scattering technique. , 2012, Meat science.