4.7 Article

Response boosting-based approach for absolute quantification of gelatin peptides using LC-MS/MS

期刊

FOOD CHEMISTRY
卷 390, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.foodchem.2022.133111

关键词

Response-boosting; Gelatin peptides; Mass spectrometry; Isotope-labelled internal standard; Absolute quantification

资金

  1. National Natural Science Foundation of China [81973450, 82174090]
  2. National Key R&D Program of China [2018YFC1706100]
  3. Jiangsu Qinglan Project
  4. Jiangsu 333 Project
  5. Young Researchers Training Project of China Association of Traditional Chinese Medicine [QNRC2-C14]
  6. Project of the Science and Technology Department of Guizhou Province [[2019] 2771, [2020]2780]
  7. Open Project of Chinese Materia Medica First-Class Discipline of Nanjing University of Chinese Medicine [2020YLXK009]

向作者/读者索取更多资源

In this study, a new strategy utilizing response-boosting was developed to enhance detection sensitivity for the absolute quantification of gelatin in Asini Corii Colla, a commonly used food therapy product in Asia. Peptidomics analysis and isotope-labeled internal standard were used to compensate for matrix effects and construct matrix-matched calibration curves. The established method showed good reliability and sensitivity for absolute quantification of gelatin peptides.
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%similar to 106.5%) and sensitivity (LOD 0.02 similar to 0.98 ng/mL). Thus, the present response-boosting based protocol provides a promising application in quality control of food rich in gelatins.

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