Decoding Automation of Metabolite and Lipid Extraction Workflows

Technology improvements in liquid chromatography/mass spectrometry have enhanced the detection and identification of metabolites and lipids from complex biological samples. As metabolomics and lipidomics measurements become increasingly valued, there is a growing need to automate sample preparation workflows.

Specifically, Agilent automation offers intuitive workflows that provide high data reproducibility and increased throughput while reducing hands-on time. In this webinar, we describe key learnings revealed during the automation of several workflows that extract metabolites and/or lipids from plasma and mammalian cell samples.



Genevieve Van de Bittner, Ph.D.
R&D Researcher
Agilent Research Laboratories
Agilent Technologies, Inc.


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Improved Metabolomics Analysis Using an Iron-Free Flow Path

Metabolomics is a tool to decipher and understand the physiological state of a cell or organism. In recent times, LC/MS emerged as the prevalent analytical technique of choice, still with significant potential for improved robustness and ease of use.

In this webinar, we will demonstrate the advantages gained by using a biocompatible flow path over stainless steel by direct comparison of the Agilent 1290 Infinity II Bio LC and Agilent 1290 Infinity II LC. The 1290 Bio LC showed improved peak shape and resolution for phosphorylated compounds like nucleotides and sugar phosphates without apparent adsorption effects, compared to the Agilent 1290 Infinity II LC. Analyzing intracellular metabolite extracts derived from Saccharomyces cerevisiae, excellent retention time RSD values of 0.1% were generated, and essential metabolites for physiological parameters like the adenylate energy charge could be analyzed consistently. These results show that the 1290 Bio LC is the ideal choice for the seamless and robust analysis in metabolomics.


 What you will learn

•    How HILIC/MS separation is used for the detection of metabolites.
•    How an iron-free flow path delivers superior performance for phosphorylated metabolites.
•    Improved tailing factors of nucleotides
•    Robust performance in analyzing metabolites in a complex yeast extract


Andre Feith
Application Scientist
Agilent Technologies


André Feith is an HPLC application scientist at Agilent Technologies, focusing on biopharma and biotechnological topics. He was involved in testing and validation of the Agilent 1290 Infinity II Bio LC regarding bio-specific applications and more recently he has focused on analyzing new modalities like oligonucleotides and online analysis of critical quality attributes with process analytical technology (PAT). During his Ph.D., he researched at the Institute of Biochemical Engineering, University of Stuttgart, in the field of Bioanalysis, Metabolomics, and Metabolic Engineering.


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Omics | Metabolomics

Chemetrix continues to create innovative solutions to address the challenges of metabolic research from sample prep through data analysis. The new Bravo Metabolomics Sample Prep Platform extracts metabolites from plasma samples and incorporates room temperature quenching with lipid removal. The new 6546 LC/Q-TOF delivers sensitivity, resolution, dynamic range, and isotopic fidelity to advance metabolomics research. The new MassHunter Lipid Annotator rapidly and accurately annotates lipid MS/MS spectra to accelerate lipidomics research. The new Mass Profiler Professional lipidomics workflow provides more efficient and consistent answers. These exciting new products are merely additions to the already comprehensive portfolio of cutting-edge instruments, informatics solutions, consumables and workflows Chemetrix can offer to accelerate your metabolomics research.



The Agilent Bravo Metabolomics Sample Prep Platform


Method Manager for Streamlined Statistical Analysis and Model Building

Technical Overview

Automated Metabolite Extraction for Plasma using the Agilent Bravo Platform

Technical Overview

Agilent MassHunter Mass Profiler Professional Software A powerful way to explore relationships in complex data


Agilent 6546 LC/Q-TOF:Gaining Higher Confidence and Throughput in Metabolite Analysis

Technical Overview