Date Full Report Received04/25/2011
Date Abstract Report Received04/25/2011
Funded ByNational Pork Board
Research to examine the use of multiple instruments that could be adapted in a pork processing environment for use in prediction of pork tenderness were evaluated. The instruments included a Visible-Near Infrared system, pH meter, Minolta colorimeter, electrical impedance system, Tenera Technology High Resolution Imaging System, and Stress-Strain Imaging. Each instrument was used to assess up to 1208 pork loins obtained from four pork processing plants. Pork tenderness was determined using two methods, either Warner-Bratzler shear force or Slice shear force. Chemical lipid as an indication of marbling and pH were also determined and the instruments were used to develop prediction equations for lipid and pH as well as tenderness.
Information from the six systems was used independently and some instruments, Visible-NIR, pH, colorimeter and electrical impedance, were used in combination to predict pork tenderness. pH, colorimeter, electrical impedance and Visible-NIR instruments were also used to predict pork loin chop lipid and pH. The intent was that if a system or systems could be used to predict tenderness, could the system(s) also be used to predict pH and marbling.
The Visible-NIR system effectively predicted pork tenderness alone using partial least squares regression models. When applied to a calibration data set, Visible-NIR correctly classified 97% of tender, 93% of intermediate, and 92% of tough pork chops based on Warner-Bratzler shear force measurements of tenderness. When Visible-NIR was used in combination with pH and/or colorimeter data, predictions were improved. However, the improvements in prediction by adding additional instruments would most likely not offset additional labor costs, instrument costs and issues with using multiple instruments at processing plant line speeds. The Visible-NIR system could also be used to assess loin pH and lipid (marbling) content with similar accuracy as pork tenderness. Stress-Strain Imaging shows promise and could potentially be combined with existing commercial ultrasound instrumentation for development of prediction models.