title: Prediction of troponin-T degradation using color image texture features in 10d aged beef longissimus steaks.
abstract: The objective was to use digital color image texture features to predict troponin-T degradation in beef. Image texture features, including 88 gray level co-occurrence texture features, 81 two-dimension fast Fourier transformation texture features, and 48 Gabor wavelet filter texture features, were extracted from color images of beef strip steaks (longissimus dorsi, n = 102) aged for 10d obtained using a digital camera and additional lighting. Steaks were designated degraded or not-degraded based on troponin-T degradation determined on d 3 and d 10 postmortem by immunoblotting. Statistical analysis (STEPWISE regression model) and artificial neural network (support vector machine model, SVM) methods were designed to classify protein degradation. The d 3 and d 10 STEPWISE models were 94% and 86% accurate, respectively, while the d 3 and d 10 SVM models were 63% and 71%, respectively, in predicting protein degradation in aged meat. STEPWISE and SVM models based on image texture features show potential to predict troponin-T degradation in meat.
authors.affiliation: Department of Engineering, Nanjing Agriculture University, Nanjing, Jiangsu, People's Republic of China; Department of Animal Sciences, North Dakota State University, Fargo, ND 58108, USA.
authors.forename: X
authors.initials: X
authors.lastname: Sun
authors.forename: K J
authors.initials: KJ
authors.lastname: Chen
authors.forename: E P
authors.initials: EP
authors.lastname: Berg
authors.forename: D J
authors.initials: DJ
authors.lastname: Newman
authors.forename: C A
authors.initials: CA
authors.lastname: Schwartz
authors.forename: W L
authors.initials: WL
authors.lastname: Keller
authors.forename: K R
authors.initials: KR
authors.lastname: Maddock Carlin
mesh_terms: D000818:Animals; D015153:Blotting, Western; D002417:Cattle; D003116:Color; D004591:Electrophoresis, Polyacrylamide Gel; D005511:Food Handling / Q000379:methods; D005583:Fourier Analysis; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008460:Meat / Q000032:analysis*; D018482:Muscle, Skeletal; D016571:Neural Networks, Computer; D060388:Support Vector Machine; D020107:Troponin T / Q000737:chemistry*
chemical_list: D020107:Troponin T
keywords: Beef; Color image texture features; STEPWISE regression; SVM; Troponin-T degradation