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MaConDa: a publicly accessible mass spectrometry contaminants database
Ralf J M Weber1, Eva Li, Jonathan Bruty
1School of Biosciences, University of Birmingham, Birmingham B15 2TT, UK.
A new database identifies common small molecule contaminants in mass spectrometry bioanalysis. This resource aids researchers in removing impurities, ensuring more accurate metabolomics and proteomics data analysis.
Area of Science:
- Analytical Chemistry
- Biochemistry
Background:
- Mass spectrometry is vital for bioanalysis in metabolomics and proteomics.
- Contaminants from solvents and plasticware are common in biological samples.
- Identifying contaminants is crucial for valid statistical analysis of mass spectrometry data.
Purpose of the Study:
- To address the fragmented and limited accessibility of contaminant information in mass spectrometry.
- To create a comprehensive, manually annotated database of small molecule contaminants.
Main Methods:
- Development of a manually curated database.
- Annotation of known small molecule contaminants.
Main Results:
- Creation of an extensive database of small molecule contaminants.
- Database is accessible via web browser and web service.
Conclusions:
- The database provides a valuable resource for the bioanalytical community.
- Improved identification and removal of contaminants will enhance the reliability of metabolomics and proteomics studies.
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