Strategies for structure elucidation of small molecules based on LC-MS/MS data from complex biological samples

Area of Science:

• Analytical Chemistry
• Metabolomics
• Biochemistry

Background:

• Liquid chromatography-tandem mass spectrometry (LC-MS/MS) is a primary analytical platform for metabolomics research.
• Structure elucidation of small molecules from LC-MS/MS data presents a significant challenge in interpreting complex metabolomics datasets.

Purpose of the Study:

• To review current strategies and tools for small molecule structure elucidation using LC-MS/MS data.
• To discuss future directions for enhancing the power of these tools and strategies.

Main Methods:

• Categorization of structure elucidation strategies into mass spectra annotation and retention time prediction.
• Summary of characteristics of existing tools for LC-MS/MS data analysis.

Main Results:

• Current strategies for structure elucidation are based on mass spectra annotation or retention time prediction.
• These methods are crucial for advancing metabolite research and developing new analytical tools.

Conclusions:

• Improved tools and strategies are essential for overcoming the challenges in small molecule structure elucidation.
• Further development in this area will significantly impact metabolomics research in life and environmental sciences.