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Lipids are vital biological molecules and play multiple roles in cellular function of mammalian organisms such as cellular membrane anchoring, signal transduction, material trafficking and energy storage. Driven by the biological significance of lipids, lipidomics has become an emerging science in the field of omics. Lipidomics is the large-scale profiling and quantification of biogenic lipid molecules and involves comprehensively studying lipid pathways and interpreting their physiological significance based on analytical chemistry and statistical analysis. The study of lipidomics has displayed great potential in different fields related to disease, drug R&D, food and plant. Thanks to the great innovations in chromatographic separation techniques and the continuous advances in mass spectrometric detection tools, lipidomics have been greatly development in recent years ^[1]. Alfa Chemistry has a wealth of experience in the synthesis, analysis and research of lipids. And our laboratory is equipped with the most advanced high resolution mass spectrometer, chromatographic separation instruments and professional analysis software for lipidomics datasets, which can meet any idea and specific needs of you. We will provide the best service to help our customers with lipidomics analysis.

Alfa Chemistry's Workflow

The analysis procedures for lipidomics in Alfa Chemistry consist of following five steps of biological sample collection and lipid extraction, sample pretreatment, MS data acquisition, post-acquisition data processing and physiological significance clarification ^[2]. The details are shown in following flow diagram.

Fig.1 The analysis procedures of lipidomics in Alfa Chemistry.

Alfa Chemistry's Services

The lipidomics services in Alfa Chemistry can be divided into following four subfields, namely, untargeted lipidomics, targeted lipidomics, exosome lipidomics and lipidomics MALDI imaging.

• Untargeted lipidomics. Untargeted lipidomics or so-called global lipidomics, aims to identify and quantify all lipids in a system, which is suitable for obtain an overview of lipid molecules in a system.
• Targeted lipidomics. Targeted lipidomics focuses on characterization of specific lipids, which is might be more applicable to solving specific and complex biological problems.
• Pseudotargeted lipidomics. Pseudotargeted lipidomics integrates the untargeted and targeted lipidomics strategies, which shows satisfactory analytical characteristics in terms of linearity, precision, reproducibility, and recovery.
• MALDI-IMS lipidomics. MALDI-IMS is used to study the distribution of lipids in tissues and can be used to image a large number of different types of endogenous lipids.

Untargeted lipidomics

Targeted lipidomics

Pseudotargeted lipidomics

MALDI-IMS lipidomics

Quality Assurance

• Secure sample delivery. Our analysis and testing experts will provide the plan for sample collection, storage and transportation according to the characteristics of each sample to maintain the integrity of the sample.
• Optimization of experimental scheme. The experimental design scheme will be constantly optimized to determine the best one under the guidance of recognized literature methods and our rich experience, so that every experimental steps will be nearly perfect.
• Standard experimental operation. Strict and standardized experimental operation and professional and experienced analysts ensure the accuracy of experimental results.
• Accurate experimental data assurance. We take the approach of timely updated, interactive real-time data review and strictly confidential comprehensive reports to ensure the accurate and safety experimental data.
• Detailed project report. We provide with the experimental procedure, relevant MS parameters, MS images, raw data, and results of the lipidomics analysis in the report.

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References

1. Xu T., et al. Recent advances in analytical strategies for mass spectrometry-based lipidomics[J]. Analytica Chimica Acta, 2020, 1137: 156-169.
2. Hu T. and Zhang J. L. Mass‐spectrometry‐based lipidomics[J]. Journal of Separation Science, 2018, 41(1): 351-372.