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Updated: Sep 5, 2025

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry UPLC-MS
Published on: March 14, 2013
Approaches for assessing performance of high-resolution mass spectrometry-based non-targeted analysis methods
Christine M Fisher1, Katherine T Peter2,3, Seth R Newton4
1Center for Food Safety and Applied Nutrition, US Food and Drug Administration, College Park, MD, 20740, USA. Christine.odonnell@fda.hhs.gov.
Standardized performance assessment methods are lacking for non-targeted analysis (NTA) using high-resolution mass spectrometry. This study reviews current metrics and proposes approaches to improve NTA data interpretation and utilization.
Area of Science:
- Analytical Chemistry
- Mass Spectrometry
- Metabolomics
Background:
- Non-targeted analysis (NTA) with high-resolution mass spectrometry (HRMS) detects unknown compounds.
- Lack of standardized performance assessment hinders NTA data interpretation and application.
- Existing metrics for targeted analysis provide context for NTA evaluation.
Purpose of the Study:
- To review and discuss approaches for assessing NTA method performance.
- To define NTA study objectives: sample classification, chemical identification, and quantitation.
- To stimulate discussion for developing improved NTA performance assessment procedures.
Main Methods:
- Summarized existing performance metrics from targeted analyses.
- Discussed promising approaches for NTA performance assessment, including strengths and caveats.
- Defined NTA study objectives to structure the discussion.
Main Results:
- Qualitative NTA performance (classification/identification) can use confusion matrices, but with limitations.
- Quantitative NTA performance can adapt targeted methods, accounting for additional experimental error.
- Areas for further development in NTA performance assessment were highlighted.
Conclusions:
- Standardized NTA performance assessment is crucial for reliable data interpretation.
- Improved assessment methods will enhance communication and utilization of NTA results.
- Further research is needed to develop and validate robust NTA performance metrics.
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