Longissimus dorsi samples (685) collected at four processing plants were used to develop prediction equations for meat quality with near infrared spectroscopy. Equations with R2 > 0.70 and residual prediction deviation (RPD) = 2.0 were considered as applicable for screening. One production plant showed R2 0.76 and RPD 2.05, other plants showed R2 4.0%). 64% from the superior group and 56% from the inferior group were predicted correctly. One equation could be used for screening drip loss %. Best prediction equation for L* did not meet the requirements (R2 0.70 and RPD 1.82). pHu equation could not be used. Results suggest that prediction equations can be used for screening drip loss %
The modelling near-infrared (NIR) spectroscopy data requires removal of scattering effects from the ...
Real-time monitoring of meat quality requires fast, accurate, low-cost, and non-destructive analytic...
The use of near-infrared spectroscopy (NIRS) is proposed in this study for the characterization of t...
Longissimus dorsi samples (685) collected at four processing plants were used to develop prediction ...
The objective was to study prediction of pork quality by near infrared spectroscopy (NIRS) technolog...
Near infrared spectroscopy (NIRS) is one of the most promising techniques for large-scale meat quali...
Abstract The potential of near-infrared spectroscopy (NIRS) to predict the physicochemical characte...
The potential of near-infrared spectroscopy (NIRS) measurements early post mortem was investigated t...
Study demonstrates the preliminary results of the evaluation of pork and pork products of local Slov...
Study demonstrates the preliminary results of the evaluation of pork and pork products of local Slov...
Study demonstrates the preliminary results of the evaluation of pork and pork products of local Slov...
Pork belly quality indicators are economically relevant in the pork industry. Near-infrared (NIR) sp...
Visible and near infrared reflectance (Vis-NIR, 350 to 1800 nm), and near infrared transmittance (NI...
The use of near-infrared spectrometers (NIRS) for predicting meat quality traits directly in the aba...
Near-infrared reflectance spectroscopy (NIRS) offers the potential for rapid, low-cost analyses of...
The modelling near-infrared (NIR) spectroscopy data requires removal of scattering effects from the ...
Real-time monitoring of meat quality requires fast, accurate, low-cost, and non-destructive analytic...
The use of near-infrared spectroscopy (NIRS) is proposed in this study for the characterization of t...
Longissimus dorsi samples (685) collected at four processing plants were used to develop prediction ...
The objective was to study prediction of pork quality by near infrared spectroscopy (NIRS) technolog...
Near infrared spectroscopy (NIRS) is one of the most promising techniques for large-scale meat quali...
Abstract The potential of near-infrared spectroscopy (NIRS) to predict the physicochemical characte...
The potential of near-infrared spectroscopy (NIRS) measurements early post mortem was investigated t...
Study demonstrates the preliminary results of the evaluation of pork and pork products of local Slov...
Study demonstrates the preliminary results of the evaluation of pork and pork products of local Slov...
Study demonstrates the preliminary results of the evaluation of pork and pork products of local Slov...
Pork belly quality indicators are economically relevant in the pork industry. Near-infrared (NIR) sp...
Visible and near infrared reflectance (Vis-NIR, 350 to 1800 nm), and near infrared transmittance (NI...
The use of near-infrared spectrometers (NIRS) for predicting meat quality traits directly in the aba...
Near-infrared reflectance spectroscopy (NIRS) offers the potential for rapid, low-cost analyses of...
The modelling near-infrared (NIR) spectroscopy data requires removal of scattering effects from the ...
Real-time monitoring of meat quality requires fast, accurate, low-cost, and non-destructive analytic...
The use of near-infrared spectroscopy (NIRS) is proposed in this study for the characterization of t...