Related Experiment Video
Updated: Sep 15, 2025

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry UPLC-MS
Published on: March 14, 2013
Accelerating biotherapeutics discovery: Blueprint for a universal LC-MALDI-MS offline approach
Elizabeth F Bayne1, Xiong-Zhuo Gao1, Yuan Jiang1
1Discovery Analytical Research, Analytical R&D, MRL, Merck & Co., Inc., Boston, MA, 02115, USA.
A new automated liquid chromatography-matrix-assisted laser desorption ionization-mass spectrometry (LC-MALDI-MS) workflow enables rapid identification of biotherapeutic impurities. This method overcomes limitations of electrospray ionization (ESI) for techniques like SEC and HIC, accelerating drug discovery.
Area of Science:
- Biopharmaceutical analysis
- Analytical chemistry
- Mass spectrometry
Background:
- Biotherapeutics are crucial for treating various diseases.
- High-throughput liquid chromatography (LC) is vital for biotherapeutic discovery.
- Traditional LC methods face challenges with mass spectrometry (MS) compatibility, slowing down impurity identification.
Purpose of the Study:
- To develop a rapid and automated workflow for biotherapeutic peak identification.
- To overcome MS compatibility issues with common LC techniques.
- To accelerate the discovery and development of next-generation biologics.
Main Methods:
- Developed an offline LC-MALDI-MS workflow using an LC-fraction collector and MALDI-TOF-MS.
- The approach is compatible with various LC techniques, including size exclusion chromatography (SEC), hydrophobic interaction chromatography (HIC), and Reversed Phase LC.
- The workflow is designed for automation and minimal sample preparation.
Main Results:
- Achieved rapid peak identification within hours.
- Demonstrated versatility across different chromatographic methods and analytes (antibodies, fusion proteins, peptides).
- Overcame buffer and matrix interferences often seen with electrospray ionization (ESI-MS).
Conclusions:
- The automated LC-MALDI-MS workflow significantly streamlines biotherapeutic impurity identification.
- This method accelerates drug discovery timelines by enabling rapid analysis.
- The workflow is broadly applicable to various biopharmaceutical development stages.
More Related Videos
04:24Author Spotlight: Advancing Biotherapeutic Mass Calculation by Introducing mAbScale, a Python-Based Desktop Application
Published on: June 16, 2023
09:29Using the Open-Source MALDI TOF-MS IDBac Pipeline for Analysis of Microbial Protein and Specialized Metabolite Data
Published on: May 15, 2019