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Ethylene glycol improves electrospray ionization efficiency in bottom-up proteomics
Peng Yu1, Hannes Hahne1,2, Mathias Wilhelm1
1Technical University of Munich, Emil-Erlenmeyer-Forum-5, 85354, Freising, Germany.
Analytical and Bioanalytical Chemistry
|October 22, 2016
Summary
Ethylene glycol significantly enhances peptide ionization in mass spectrometry, improving proteomic analysis sensitivity. This solvent additive offers a promising alternative to dimethyl sulfoxide (DMSO) for broader proteomic applications.
Area of Science:
- Analytical Chemistry
- Biochemistry
- Proteomics
Background:
- Nano-electrospray ionization (nESI) coupled with liquid chromatography tandem mass spectrometry is crucial for proteome research.
- Dimethyl sulfoxide (DMSO) has previously demonstrated a 3-10x improvement in nESI efficiency, enhancing proteomic experiment sensitivity and coverage.
Purpose of the Study:
- To systematically screen various compounds for their ability to enhance nESI response at a proteomic scale.
- To evaluate ethylene glycol as a potential alternative to DMSO for improving peptide ionization efficiency.
Main Methods:
- Screening of approximately 30 compounds with diverse physico-chemical properties.
- Detailed analysis of promising solvent additives, including ethylene glycol.
- Evaluation of nESI efficiency and peptide ionization enhancement.
Main Results:
- Ethylene glycol demonstrated performance comparable to DMSO in enhancing nESI response.
- The study confirmed that simple solvent additives can effectively enhance peptide ionization for proteomic analysis.
- Key properties for effective solvent additives include high boiling point, low surface tension, and high polarity.
Conclusions:
- Enhancing nESI response with solvent additives is a valid and promising approach for proteomic research.
- Ethylene glycol serves as a viable alternative to DMSO, particularly in applications where DMSO may be disadvantageous.
- The findings support the use of ethylene glycol for improving peptide ionization and overall proteomic data quality.
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