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Abstract. This research was to study air chamber diameter for prediction of egg freshness based on visible near infrared spectroscopy. A total of 90 intact brown-shelled eggs of the same flock were measured. Pretreatment methods containing Savitzky-Golay smoothing, multiplicative scatter correction, standard normal variate and the first derivative were used for the original spectra. A partial least squares model was built in order to predict air chamber diameter. The results illustrated partial least squares regression after multiplicative scatter correction pretreatment for air chamber diameter was superior to the other methods. Correlation coefficients were 0.87, 0.85 for calibration and prediction model, respectively. Standard errors were 2.13 for calibration model and 2.14 for prediction model. This study illustrated visible near infrared spectroscopy and partial least squares regression were useful for nondestructive assessment of air chamber diameter.