Abstract
Bird's nest sample matrix is renowned for its nutritional and therapeutic properties, primarily attributed to its protein content. Despite its significance, research on its proteins has been limited, primarily hindered by challenges in extraction, isolation, and identification. The effectiveness of Biotool software and the Mascot protein database in recognizing insulin from LC-MS analysis data has been confirmed. The software adeptly matched the MS data with the cataloged proteins in the database, highlighting its capability in protein identification. The analysis produced 26 peptide fragments, primarily with charges of +2, +3, and +4, and a mass range of 1000-2000 Da. This first study endeavors to fill this gap by offering a thorough analysis of its peptides, aiming to enhance the quality assessment and provide valuable insights for future investigations into proteins analysis.
