Response boosting-based approach for absolute quantification of gelatin peptides using LC-MS/MS. (1st October 2022)

• Record Type: Journal Article
• Authors: Han, Shuying; Yan, Zhiye; Huang, Xiaozheng; Cai, Shuo; Zhao, Ming; Zheng, Yunfeng; Liu, Xiao; Xu, Haokun; Xie, Yu; Hou, Rong; Duan, Jin-ao; Liu, Rui
• Is Part Of: Food chemistry. Volume 390(2022)
• Publication Date: 2022-10-01
• Subjects: Response-boosting -- Gelatin peptides -- Mass spectrometry -- Isotope-labelled internal standard -- Absolute quantification; Food -- Analysis -- Periodicals; Food -- Composition -- Periodicals; 664
• DOI: 10.1016/j.foodchem.2022.133111
• Languages: English
• ISSNs: 0308-8146

Abstract

Highlights: Response-boosting of MS signal was applied for peptides absolute quantification for the first time. Peptidomics analysis was utilized to evaluate the similarity between different simulated matrices for collagen peptides quantification. The LOQs of low-content specific peptides could decrease by over thousand-fold using the proposed protocol. Abstract: Response-boosting of MS signal was observed in gelatin samples due to abundant Glycine residues produced by collagen enzymolysis. In this work, a new strategy utilizing response-boosting to enhance detection sensitivity was developed for absolute quantification of Asini Corii Colla, a kind of gelatin commonly used as food therapy products in Asia, by high performance liquid chromatography coupled to tandem mass spectrometry. Peptidomics analysis was used to evaluate the similarity between eight different protein matrices, and deer-hide gelatin was selected as the appropriate simulated matrix. Isotope-labelled internal standard was used to compensate the matrix effect and construct matrix-matched calibration curves. The established method showed reliability in absolute quantification of three species-specific gelatin peptides with good linearity ( r 2 > 0.997), precision (RSD < 8.5%), repeatability (RSD < 8.9%), accuracy (recovery 89.4%∼106.5%) and sensitivity (LOD 0.02 ∼ 0.98 ng/mL). Thus, the present response-boosting based protocol provides a promising application in quality control of food rich in gelatins.