规模以上非靶向代谢组学剖析血清超高效液相色谱 - 质谱（UPLC-MS）

Overview

This article presents a protocol for non-targeted metabolite profiling of serum using ultra performance liquid chromatography coupled with mass spectrometry (UPLC-MS). It details the workflow from sample preparation to data analysis and metabolite identification.

Key Study Components

Area of Science

• Metabolomics
• Mass Spectrometry
• Biochemistry

Background

• Non-targeted metabolite profiling is crucial for understanding metabolic processes.
• UPLC-MS is a widely used technique for analyzing complex biological samples.
• Quality control is essential for ensuring the reliability of analytical results.
• Identifying small molecule biomarkers can aid in various biomedical research applications.

Purpose of Study

• To establish a robust method for metabolite extraction and analysis.
• To ensure analytical stability through quality control measures.
• To facilitate the identification of biomarkers in serum samples.

Methods Used

• Extraction of metabolites in a plate format.
• Establishment of a quality control sample.
• Mass spectral data acquisition on QC and randomized serum samples.
• Data pre-processing and statistical analysis for metabolite identification.

Main Results

• Successful profiling of metabolites in serum samples.
• Identification of potential small molecule biomarkers.
• Demonstration of the robustness of the UPLC-MS method.
• Insights into metabolic variations in serum.

Conclusions

• The protocol provides a reliable framework for non-targeted metabolite profiling.
• Quality control measures enhance the reproducibility of results.
• UPLC-MS is effective for identifying biomarkers in serum.

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