Spectral Scattering for Assessing Quality and Safety of Meat

[1]  Wei Wang,et al.  [Study on modeling method of total viable count of fresh pork meat based on hyperspectral imaging system]. , 2010, Guang pu xue yu guang pu fen xi = Guang pu.

[2]  Jens Michael Carstensen,et al.  Using Multispectral Imaging for Spoilage Detection of Pork Meat , 2013, Food and Bioprocess Technology.

[3]  Zuhaimy Ismail,et al.  Nonlinear Growth Models for Modeling Oil Palm Yield Growth , 2005 .

[4]  Ashok Samal,et al.  Optical scattering in beef steak to predict tenderness using hyperspectral imaging in the VIS-NIR region , 2008 .

[5]  Yao-Ze Feng,et al.  Determination of total viable count (TVC) in chicken breast fillets by near-infrared hyperspectral imaging and spectroscopic transforms. , 2013, Talanta.

[6]  Renfu Lu,et al.  Optimization of inverse algorithm for estimating the optical properties of biological materials using spatially-resolved diffuse reflectance , 2010 .

[7]  Randolph M. Beaudry,et al.  Relationship of the optical absorption and scattering properties with mechanical and structural properties of apple tissue , 2013 .

[8]  Renfu Lu,et al.  MODELING MULTISPECTRAL SCATTERING PROFILES FOR PREDICTION OF APPLE FRUIT FIRMNESS , 2005 .

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

[10]  Ashok Samal,et al.  Optical scattering with hyperspectral imaging to classify longissimus dorsi muscle based on beef tenderness using multivariate modeling. , 2013, Meat science.

[11]  Renfu Lu,et al.  Hyperspectral and multispectral imaging for evaluating food safety and quality , 2013 .

[12]  Jianwei Qin,et al.  Measurement of the Absorption and Scattering Properties of Turbid Liquid Foods Using Hyperspectral Imaging , 2007, Applied spectroscopy.

[13]  Brigitte Petersen,et al.  Generic model for the prediction of remaining shelf life in support of cold chain management in pork and poultry supply chains , 2008 .

[14]  Douglas Fernandes Barbin,et al.  Prediction of chicken quality attributes by near infrared spectroscopy. , 2015, Food chemistry.

[15]  Da-Wen Sun,et al.  Non-destructive and rapid determination of TVB-N content for freshness evaluation of grass carp (Ctenopharyngodon idella) by hyperspectral imaging , 2014 .

[16]  Ma Huiling,et al.  Non-destructive detection of freshness grade for apple fruit based on bio-impedance properties. , 2013 .

[17]  J. Kreyenschmidt,et al.  Determination of the shelf life of sliced cooked ham based on the growth of lactic acid bacteria in different steps of the chain , 2010, Journal of applied microbiology.

[18]  Paul Allen,et al.  Prediction of moisture, color and pH in cooked, pre-sliced turkey hams by NIR hyperspectral imaging system , 2013 .

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

[20]  D. Fekedulegn,et al.  Parameter estimation of nonlinear growth models in forestry , 1999 .

[21]  Fang Cheng,et al.  On-line prediction of pH values in fresh pork using visible/near-infrared spectroscopy with wavelet de-noising and variable selection methods , 2012 .

[22]  C. C. Davis.  Lasers and Electro-optics by Christopher C. Davis , 2014 .

[23]  H. J. Andersen,et al.  Early prediction of water-holding capacity in meat by multivariate vibrational spectroscopy. , 2003, Meat science.

[24]  Yankun Peng,et al.  A Nondestructive Method for Prediction of Total Viable Count in Pork Meat by Hyperspectral Scattering Imaging , 2014, Food and Bioprocess Technology.

[25]  Gamal ElMasry,et al.  Prediction of some quality attributes of lamb meat using near-infrared hyperspectral imaging and multivariate analysis. , 2012, Analytica chimica acta.

[26]  Field testing of a system for online classification of beef carcasses for longissimus tenderness using visible and near-infrared reflectance spectroscopy. , 2012, Journal of animal science.

[27]  Douglas Fernandes Barbin,et al.  Non-destructive assessment of microbial contamination in porcine meat using NIR hyperspectral imaging , 2013 .

[28]  Jiewen Zhao,et al.  Rapid detection of total viable count (TVC) in pork meat by hyperspectral imaging , 2013 .

[29]  E. Berg,et al.  Characterizing beef muscles with optical scattering and absorption coefficients in VIS-NIR region. , 2007, Meat science.

[30]  Hyung-Gi Byun,et al.  Selected Peer-Reviewed Articles from the 8th Asian Conference on Chemical Sensors (ACCS 2009) , 2011 .

[31]  Yankun Peng,et al.  Potential prediction of the microbial spoilage of beef using spatially resolved hyperspectral scattering profiles , 2011 .

[32]  George-John E. Nychas,et al.  Contribution of Fourier transform infrared (FTIR) spectroscopy data on the quantitative determination of minced pork meat spoilage , 2011 .

[33]  Di Wu,et al.  Advanced applications of hyperspectral imaging technology for food quality and safety analysis and assessment: A review — Part II: Applications , 2013 .

[34]  J. Killefer,et al.  The effect of pH on shelf-life of pork during aging and simulated retail display. , 2009, Meat science.

[35]  Vincent Baeten,et al.  Hyperspectral Imaging Applications in Agriculture and Agro-Food Product Quality and Safety Control: A Review , 2013 .

[36]  Valery V. Tuchin,et al.  Tissue image contrasting using optical immersion technique , 2000, Optics and Optoelectronic Inspection and Control.

[37]  D. E. Chan,et al.  High Throughput Spectral Imaging System for Wholesomeness Inspection of Chicken , 2008 .

[38]  Wei Wang,et al.  [A rapid nondestructive measurement method for assessing the total plate count on chilled pork surface]. , 2010, Guang pu xue yu guang pu fen xi = Guang pu.

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

[40]  Da‐Wen Sun,et al.  Predictive food microbiology for the meat industry: a review. , 1999, International journal of food microbiology.

[41]  Jens Michael Carstensen,et al.  Potential of multispectral imaging technology for rapid and non-destructive determination of the microbiological quality of beef filets during aerobic storage. , 2014, International journal of food microbiology.

[42]  Yankun Peng,et al.  Prediction of apple fruit firmness and soluble solids content using characteristics of multispectral scattering images , 2007 .

[43]  J. Barat,et al.  Nondestructive assessment of freshness in packaged sliced chicken breasts using SW-NIR spectroscopy , 2011 .

[44]  W. R. Windham,et al.  A Hyperspectral Imaging System for Identification of Faecal and Ingesta Contamination on Poultry Carcasses , 2003 .

[45]  S. Prasher,et al.  Prediction of drip-loss, pH, and color for pork using a hyperspectral imaging technique. , 2007, Meat science.

[46]  Sabyasachi Bhattacharya,et al.  A new growth curve model for biological growth: some inferential studies on the growth of Cirrhinus mrigala. , 2014, Mathematical biosciences.

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

[48]  Ashok Samal,et al.  Partial least squares analysis of near-infrared hyperspectral images for beef tenderness prediction , 2008 .

[49]  S. Barringer,et al.  Meat Shelf-life and Extension using Collagen/Gelatin Coatings: A Review , 2010, Critical reviews in food science and nutrition.

[50]  B. Wilson,et al.  A diffusion theory model of spatially resolved, steady-state diffuse reflectance for the noninvasive determination of tissue optical properties in vivo. , 1992, Medical physics.

[51]  Wei Wang,et al.  [Study of spatially resolved hyperspectral scattering images for assessing beef quality characteristics]. , 2010, Guang pu xue yu guang pu fen xi = Guang pu.

[52]  R. Lu,et al.  Measurement of the optical properties of fruits and vegetables using spatially resolved hyperspectral diffuse reflectance imaging technique , 2008 .

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

[54]  Kuanglin Chao,et al.  LINE-SCAN HYPERSPECTRAL IMAGING PLATFORM FOR AGRO-FOOD SAFETY AND QUALITY EVALUATION: SYSTEM ENHANCEMENT AND CHARACTERIZATION , 2011 .

[55]  D. Kell,et al.  Rapid and Quantitative Detection of the Microbial Spoilage of Meat by Fourier Transform Infrared Spectroscopy and Machine Learning , 2002, Applied and Environmental Microbiology.

[56]  Gamal ElMasry,et al.  Near-infrared hyperspectral imaging for predicting colour, pH and tenderness of fresh beef , 2012 .

[57]  Yu-Lin Song,et al.  [A method for assessing the total viable count of fresh meat based on hyperspectral scattering technique]. , 2014, Guang pu xue yu guang pu fen xi = Guang pu.

[58]  J C Forrest,et al.  Development of technology for the early post mortem prediction of water holding capacity and drip loss in fresh pork. , 2000, Meat science.