Integrated NanoLC and UPLC-MS Platforms for Single Cell and Complex Mixture Analysis
Year: 2025
Type: preprint
Abstract: Multiple Reaction Monitoring (MRM) using triple quadrupole mass spectrometry (QqQ-MS) has become essential for multiplexed protein quantification. This study presents a comprehensive optimization of Agilent 6495C QqQ-MS equipped with both nano-electrospray ionization (nanoESI) and ultra-performance liquid chromatography ESI (UPLC-ESI) sources for enhanced proteomics analysis. We systematically optimized source parameters and compared spectral intensities using a standard peptide mixture (6×5 LC-MS/MS Peptide Reference Mix). The nanoLC system, operating at sub-microliter flow rates, demonstrated over 100-fold enhancement in spectral intensity compared to UPLC when analyzing equivalent sample amounts, highlighting its superior sensitivity for trace-level detection. Performance validation using 30 stable isotope-labeled peptides at varying concentrations confirmed the significant improvements achieved through systematic parameter optimization. Additionally, we evaluated the Multiple Heart-Cutting (MHC) 2D-LC system's separation capabilities using hyaluronic acid polymers. The MHC approach effectively resolved overlapping peaks by selectively transferring UV-detected peaks from the first dimension to a second dimension with orthogonal selectivity. Successful separation of hyaluronic acid tetramer [M+H]+ peaks within complex polymer mixtures validated the system's performance for challenging separations. These findings demonstrate that the integration of optimized nanoESI sources with nanoLC systems substantially enhances MRM performance for biomarker discovery and validation. The combination of enhanced sensitivity from nanoLC-QqQ optimization and superior separation capability of MHC 2D-LC presents a powerful analytical platform for precise quantification of target molecules in complex biological matrices, advancing proteomics research and clinical biomarker development.
Source: SSRN Electronic Journal
DOI: 10.2139/ssrn.5495747
Language: English
Subfield: Spectroscopy
Field: Chemistry
Domain: Physical Sciences
Open Access status: green
Awards: G132868122, G1455253182, G2930344438
OpenAlex ID: W4413612981