Related Experiment Video
Updated: Jun 15, 2025

Isolation of Lipoprotein Particles from Chicken Egg Yolk for the Study of Bacterial Pathogen Fatty Acid Incorporation into Membrane Phospholipids
Published on: May 15, 2019
Lipidomics combined with random forest machine learning algorithms to reveal freshness markers for duck eggs during
Mengying Chen1, Lan Gong2, Lei Zhu2
1Institute of Quality Safety and Nutrition of Agricultural Products, Jiangsu Academy of Agricultural Sciences, Jiangsu Provincial Key Laboratory of Food Quality and Safety-Province and Ministry jointly built the cultivation base of the State Key Laboratory, Nanjing 210014, China; College of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.
Abstract:
The differences in lipids in duck eggs between the 2 rearing systems during storage have not been fully studied. Herein, we propose untargeted lipidomics combined with a random forest (RF) algorithm to identify potential marker lipids based on ultra-performance liquid chromatography‒mass spectrometry (UPLPC-MS/MS). A total of 106 and 16 differential lipids (DL) were screened in egg yolk and white, respectively. In yolk, metabolic pathway analysis of DLs revealed that glycerophospholipid metabolism and sphingolipid metabolism were the key metabolic pathways in the traditional free-range system (TFS) during storage, glycosylphosphatidylinositol-anchored biosynthesis and glyceride metabolism were the key pathways in the floor-rearing system (FRS). In egg white, the key pathway in both systems is the biosynthesis of unsaturated fatty acids. Combined with RF algorithm, 12 marker lipids were screened during storage. Therefore, this study elucidates the changes in lipids in duck eggs during storage in 2 rearing systems and provides new ideas for screening marker lipids during storage. This approach is highly important for evaluating the quality of egg and egg products and provides guidance for duck egg production.

