A preliminary study of nearinfraredreflectance spectroscopy (NIRS)for the feasibility of analytical monitoring ofamino acids and total protein compositionsin edible bird’s nest (EBN) was conducted.The training (n=134) and validation sets todevelop the equations were built with localunprocessed EBN samples sourced fromdifferent states of Malaysia. The regressionmethod employed was modified partialleast-squares (MPLS). The values ofstandard error for cross validation (SECV)and the coefficient of determination (r2)of the calibrations of these constituentsfor use to predict of amino acids in EBNwere determined, but with a low predictiveability. To find an acceptable accuracyfor each constituent is to increase thenumber of training samples. The findings,however, showed a potential alternativefor the implementation of near-infraredreflectance spectroscopy technology inthis field of analysis.