LCMS
More information
WebinarsAbout usContact usTerms of use
LabRulez s.r.o. All rights reserved. Content available under a CC BY-SA 4.0 Attribution-ShareAlike

Improvements to HILIC Robustness - a Targeted HILIC Metabolomics Method for Routine Analysis

Posters | 2021 | Agilent Technologies | ASMSInstrumentation
LC/MS, LC/MS/MS, LC/QQQ
Industries
Metabolomics
Manufacturer
Agilent Technologies

Summary

Significance of the Topic


Polar metabolite profiling is essential for understanding cellular biochemistry, disease biomarkers, and metabolic pathways. Robust chromatographic separation of these polar compounds enables comprehensive coverage in both positive and negative ion modes, enhancing data reliability in routine metabolomics applications.

Objectives and Study Overview


This study aimed to develop and validate a highly reproducible, targeted HILIC metabolomics workflow for routine analysis of complex biological samples. Key goals included improving HILIC column robustness, expanding metabolome coverage, and enabling easy transfer of the method between laboratories.

Methodology and Instrumentation


  • Sample preparation: Automated low‐volume plasma extraction using the Bravo Metabolomics Workbench coupled with Captiva EMR-Lipid solid‐phase extraction to remove proteins and lipids while enriching polar metabolites.
  • Chromatography: Poroshell 120 HILIC-Z column (2.1 × 150 mm, 2.7 µm) operated on an Agilent 1290 Infinity II Bio LC system with MP35N metal alloy construction for improved peak shape and minimized metal interactions.
  • Mobile phases: A – 20 mM ammonium acetate, pH 9.3 with 5 µM medronic acid in water; B – acetonitrile. Nonlinear gradient from 30 % to 98 % B over 16 min, total cycle time 24 min including re-equilibration.
  • Mass spectrometry: Agilent 6495C triple quadrupole with ion funnel, employing dynamic and fixed dwell time MRM methods for over 400 targeted metabolites, with positive/negative polarity switching.

Main Results and Discussion


  • Retention and Separation: The HILIC-Z column provided efficient retention of highly polar analytes (e.g., amino acids, TCA cycle intermediates) without ion pairing reagents, achieving baseline separation of isobaric compounds like leucine/isoleucine.
  • Reproducibility: Retention time RSDs remained below 5 % across multiple column lots, operators, days, and laboratories, demonstrating robust method transferability.
  • Sensitivity: Limits of quantitation in pooled bovine plasma were in the low femtomole range (e.g., 20 fmol for 15N5-ADP with 10 % RSD; 1.2 fmol for 13C-phenylalanine with 1 % RSD), supporting quantitative applications.
  • Coverage: Over 200 endogenous metabolites were consistently detected in a single injection, spanning amino acids, nucleotides, coenzymes, glycolytic and TCA cycle intermediates.

Benefits and Practical Applications


The proposed workflow streamlines targeted metabolomics for high‐throughput labs, offering:
  • Comprehensive profiling of polar metabolites in one method with dual‐mode ESI.
  • Automated low‐volume sample prep that reduces manual intervention and variability.
  • Scalable protocol easily adopted across different sites to support large‐scale studies.

Future Trends and Potential Applications


Building on this robust HILIC approach, future directions include expanding the targeted panel to cover additional pathways, integrating isotopic tracing for flux analysis, and applying the workflow to diverse matrices such as tissues and microbial extracts. Further optimization of MS acquisition strategies may enhance throughput and sensitivity.

Conclusion


A standardized HILIC-Z metabolomics method has been established, combining automated low‐volume extraction, robust chromatography, and extensive MRM acquisition. The workflow delivers sensitive, reproducible quantitation of hundreds of polar metabolites and can be readily transferred between laboratories to accelerate biological research.

References


  • Sartain M, Gomez M, Van de Bittner G, Shu H. Enabling Automated, Low‐Volume Plasma Metabolite Extraction with the Agilent Bravo Platform. Agilent Application Note 5994-2156EN.

Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.

Downloadable PDF for viewing
 

Similar PDF

Toggle
Machine learning statistics with chromatography and high-resolution mass spectrometry aid in combatting illegal logging and trafficking of endangered timber species
Poster Reprint ASMS 2021 Poster number TP098 Machine learning statistics with chromatography and high-resolution mass spectrometry aid in combatting illegal logging and trafficking of endangered timber species Pamela Brunswick1, Daniel Cuthbertson2, Jeffrey Yan1, Candice C. Chua1, Isabelle Duchesne3, Peter Gasson4,…
Key words
analytes, analytesdmrm, dmrmmetabolomics, metabolomicsmetabolites, metabolitesplasma, plasmamethodology, methodologycan, candatabase, databasebiological, biologicaltransferable, transferabletargeted, targetedtested, testedsensitively, sensitivelyadp, adphilic
An End-to-End Targeted Metabolomics Workflow
An End-to-End Targeted Metabolomics Workflow
2023|Agilent Technologies|Brochures and specifications
Application Note Metabolomics An End-to-End Targeted Metabolomics Workflow Author Karen E. Yannell, PhD Cate Simmermaker Genevieve Van de Bittner, PhD Daniel Cuthbertson, PhD, Agilent Technologies, Inc. Abstract The metabolome refers to all the small molecules produced by cells or an…
Key words
metabolomics, metabolomicsmetabolites, metaboliteslipid, lipidreproducible, reproduciblehilic, hilicemr, emrcaptiva, captivaresearchers, researcherspolar, polarworkflow, workflowbravo, bravometabolite, metabolitequant, quantdatabase, databaseplatform
Comprehensive workflow for targeted cell metabolomics using automated sample preparation, HILIC chromatography, LC/TQ, and a statistical analysis software suite
Poster Reprint ASMS 2022 Poster number MP354 Comprehensive workflow for targeted cell metabolomics using automated sample preparation, HILIC chromatography, LC/TQ, and a statistical analysis software suite Karen E. Yannell PhD, Cate Simmermaker, and Genevieve Van de Bittner PhD Agilent Technologies,…
Key words
mpp, mppmetabolomics, metabolomicsdmrm, dmrmbiological, biologicalanalytes, analytesdatabase, databasebravo, bravonormalization, normalizationstatistical, statisticalprep, prepcellular, cellularworkflow, workflowtargeted, targetedmoves, movesreproducible
Quantitative Analysis of Polar Metabolites with Comprehensive Plasma and Cell Targeted Metabolomics Workflow
Poster Reprint ASMS 2023 Poster number TP 492 Quantitative Analysis of Polar Metabolites with Comprehensive Plasma and Cell Targeted Metabolomics Workflow​ Karen E. Yannell, Sierra D. Durham, Cate Simmermaker, and Genevieve C. Van de Bittner Agilent Technologies, Santa Clara, US…
Key words
pos, postransitions, transitionshilic, hilicpolar, polarworkflow, workflowmetabolites, metabolitesmetabolomics, metabolomicsneg, negmetabolite, metabolitefunnel, funnelhundreds, hundredsquantitative, quantitativeplasma, plasmafragile, fragileion
Other projects
GCMS
ICPMS
Follow us
More information
WebinarsAbout usContact usTerms of use
LabRulez s.r.o. All rights reserved. Content available under a CC BY-SA 4.0 Attribution-ShareAlike