Abstract
This paper describes a method by which blood spots can be detected using visible spectroscopy, instead of the usual candling method which employs the naked human eye. The determination was made using the wavelength absorbance data for the hemoglobin in the blood spots of the eggs. As a result, the discrimination ratio for normal eggs and eggs containing blood spots was 100% and 83.0%, respectively. PLS regression analysis was performed with the explanatory variable within the wavelength range from 500 to 600nm. When predictions were made for unexamined specimens from three different production areas, the discrimination ratio for normal eggs was 100%, and that for eggs with blood spots was 96.8%. The results suggest that PLS regression is an effective method for predicting eggs with blood spots.
