Feasibility Of Near-infrared Reflectance Spectroscopy For Predicting Amino Acids Composition In Edible Bird?s Nest

Suhaimi D., Wan Syahidah H., Sharif S., Normah Miw A

Suhaimi D., Wan Syahidah H., Sharif S., Normah Miw A

A preliminary study of nearinfrared reflectance spectroscopy (NIRS) for the feasibility of analytical monitoring of amino acids and total protein compositions in edible bird?s nest (EBN) was conducted. The training (n=134) and validation sets to develop the equations were built with local unprocessed EBN samples sourced from different states of Malaysia. The regression method employed was modified partial least-squares (MPLS). The values of standard error for cross validation (SECV) and the coefficient of determination (r2) of the calibrations of these constituents for use to predict of amino acids in EBN were determined, but with a low predictive ability. To find an acceptable accuracy for each constituent is to increase the number of training samples. The findings, however, showed a potential alternative for the implementation of near-infrared reflectance spectroscopy technology in this field of analysis.