A combination of hyperspectral imaging together with chemometrics,
such as SPA and SVR, offers a fast, accurate, objective
and non-invasive tool for the prediction of egg freshness. SPA–
SVR calibration model achieved R2
p = 0.87 and RPD = 2.80, suggesting
that spatial and spectral information obtained from hyperspectral
imaging is reliable for the assessment of egg freshness. In
addition, SVC model offers 90.0% and 96.3% accuracy of identifying
internal bubbles and scattered yolk, respectively. Results indicate
the potential of hyperspectral imaging technique to become a rapid
and objective internal quality assessment of eggs that may find
applications in the egg industry.