A Study Of The Development Of Non-Destructive

Abstract

The replacement of human visual inspection for eggs with blood spots using transmitted light currently employed at grading and packing centers with a method using near infrared spectroscopy (NIRS) was studied. The determination is made using wavelength absorbance data since the hemoglobin in blood mixed in eggs with blood spots has an absorbance band of 540 to 575 nm. As a result, the normal egg discrimination rate was 100%, and the egg with blood spot discrimination rate was 83.0%. Then, PLS regression analysis was performed with a wavelength range of 503 to 598 nm as an explanatory variable. When predictions were made for unexamined specimens (100 normal eggs and 94 eggs with blood spots), the discrimination rate for normal eggs was 100%, and that for eggs with blood spots was 96.8%. The calibration model for eggs with blood spots had reproducible predictive power. The results further suggest that PLS regression analysis is an effective analytical tool in predicting eggs with blood spots using NIRS