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Published on: October 13, 2020
Development and Application of Feature-Based Molecular Networking for Phospholipidomics Analysis.
Xiaoying Chen1, Xiaoyu Peng2, Xian Sun1
1State Key Laboratory of Food Science and Technology, School of Food Science and Technology, National Engineering Reacher Center for Functional Food, National Engineering Laboratory for Cereal Fermentation Technology, Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, No. 1800, Lihu Road, Wuxi 214122, Jiangsu, People's Republic of China.
This study presents a new, rapid method for analyzing milk phospholipids using information-dependent acquisition (IDA) and feature-based molecular networking. This approach improves accuracy in identifying milk lipids, aiding in distinguishing sheep milk varieties.
Area of Science:
- Lipidomics
- Analytical Chemistry
- Food Science
Background:
- Phospholipids are vital milk lipids, but accurate structural annotation remains challenging.
- Existing lipidomics software struggles with false positives and precise identification.
- A need exists for improved methods for comprehensive milk phospholipid analysis.
Purpose of the Study:
- To develop a rapid and accurate method for measuring a wide spectrum of milk phospholipids.
- To enhance data processing and lipid annotation in milk lipidomics.
- To evaluate the potential of phospholipids as markers for sheep milk differentiation.
Main Methods:
- Employed information-dependent acquisition (IDA) mode for mass spectrometry.
- Utilized feature-based molecular networking for data analysis.
- Compared the developed method against sequential window acquisition of all theoretical mass spectra (SWATH) and MS-DIAL.
Main Results:
- Identified a total of 150 phospholipids in sheep milk samples.
- Discovered rarely reported phospholipids containing ether or vinyl ether linkages.
- Demonstrated superior performance in data processing and lipid annotation compared to SWATH and MS-DIAL.
Conclusions:
- The developed IDA and feature-based molecular networking method offers a rapid and reliable approach for milk phospholipid investigation.
- Phospholipids show potential as biomarkers for distinguishing sheep milk varieties and origins.
- This method advances the field of milk lipidomics by improving accuracy and efficiency.
