Quality Assessment of Poultry Egg Based on Visible-Near Infrared Spectroscopy and Radial Basis Function Networks

In this research the possibility of a non-destructive prediction of two main quality parameters of poultry egg using principle component analysis and radial basis function network by the transmission visible-near infrared spectroscopy method was investigated. The studied parameters include Haugh unit and air cell height as a function of a 5-week storage duration at room (25 degrees C and 40% relative humidity) and refrigerator (5 degrees C and 75% relative humidity) conditions. The spectra were interpreted and a radial basis function network model was developed for both storage conditions at wavelength ranges of 300-1100 nm. The developed models yielded a good prediction accuracy of Haugh unit for intact egg (R-2 value 0.745 and 0.76) as well as air cell height (R-2 value 0.835 and 0.844) for room and refrigerator conditions, respectively. Results of the experiment showed the developed model can be used in the prediction of egg freshness indices satisfactorily.