Related Experiment Video
Updated: Aug 18, 2026

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry UPLC-MS
Published on: March 14, 2013
MRMQuant: Automated MRM Data Quantitation for Large-Scale Targeted Metabolomics Analysis
Ke-Shiuan Lynn1, Hsiang-Yu Tang2, Chi-Jen Lo2
1Department of Mathematics, Fu Jen Catholic University, New Taipei City 24205, Taiwan.
Abstract:
Multiple reaction monitoring (MRM) is a powerful and popular technique used for metabolite quantification in targeted metabolomics. Accurate and consistent quantitation of metabolites from the MRM data is essential for subsequent analyses. Here, we developed an automated tool, MRMQuant, for targeted metabolomic quantitation using high-throughput liquid chromatography-tandem mass spectrometry MRM data to provide users with an easy-to-use tool for accurate MRM data quantitation with minimal human intervention. This tool has many user-friendly functions and features to inspect and correct the quantitation results as required. MRMQuant possesses the following features to ensure accurate quantitation: (1) dynamic signal smoothing, (2) automatic deconvolution of coeluted peaks, (3) absolute quantitation via standard curves and/or internal standards, (4) visualized inspection and correction, (5) corrections applicable to multiple samples, and (6) batch-effect correction.
Related Concept Videos
Mass Spectrum
High-Resolution Mass Spectrometry (HRMS)
MALDI-TOF Mass Spectrometry
Response Surface Methodology
The process of RSM involves several key steps:

