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Published on: April 6, 2016
MicroSPE-nanoLC-ESI-MS/MS using 10-microm-i.d. silica-based monolithic columns for proteomics
Quanzhou Luo1, Jason S Page, Keqi Tang
1Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, USA.
Analytical Chemistry
|January 16, 2007
Summary
New silica monolithic capillary columns with integrated nanoESI emitters enable robust microSPE-nanoLC-ESI-MS. This technology allows for sensitive protein identification from complex samples with high reproducibility.
Area of Science:
- Analytical Chemistry
- Biochemistry
- Mass Spectrometry
Background:
- Micro-Solid Phase Extraction (microSPE) coupled with nano-Liquid Chromatography (nanoLC) and Electrospray Ionization Mass Spectrometry (ESI-MS) is crucial for analyzing complex biological samples.
- Traditional methods often suffer from dead volume, clogging, and reproducibility issues, limiting sensitivity and throughput.
Purpose of the Study:
- To develop and evaluate novel silica-based monolithic capillary columns with integrated nanoESI emitters for enhanced microSPE-nanoLC-ESI-MS analyses.
- To assess the performance, robustness, and reproducibility of the integrated column system.
Main Methods:
- Fabrication of silica-based monolithic capillary columns (25 cm x 10 microm i.d.) with integrated nanoESI emitters.
- Coupling of microSPE and nanoLC separation directly to a linear ion trap mass spectrometer.
- Analysis of a tryptic digest of Shewanella oneidensis proteins (300 ng sample).
Main Results:
- The integrated nanoESI emitter eliminated dead volume, enabling stable electrospray at ~10 nL/min flow rates.
- A single 4-h LC-MS/MS analysis identified 5510 unique peptides, covering 1443 distinct proteins.
- The monolithic ESI emitter demonstrated enhanced resistance to clogging and good run-to-run reproducibility.
Conclusions:
- Silica-based monolithic capillary columns with integrated nanoESI emitters offer a high-quality and robust solution for microSPE-nanoLC-ESI-MS.
- This integrated system significantly improves protein identification efficiency and reproducibility in complex proteomic analyses.
- The technology holds promise for advancing sensitive and reliable biological sample analysis.
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