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

Monolithic Column for Improved 4D-Lipidomics Analysis

Posters | 2025 | Bruker | ASMSInstrumentation
LC/MS, LC/MS/MS, LC/TOF, LC/HRMS, Ion Mobility, Consumables, LC columns
Industries
Lipidomics
Manufacturer
Bruker

Summary

Importance of the Topic


Large-scale lipidomics requires sensitive and efficient separation strategies to capture structurally diverse and low-abundance lipids. Conventional high-flow LC methods suffer from dilution and high backpressure with viscous mobile phases. Monolithic columns, with their high permeability and broad porosity, enable faster microflow and nanoflow separations, improved throughput, and enhanced detection in 4D-lipidomics workflows.

Study Objectives and Overview


This study compares monolithic and conventional particle-based LC columns for both analytical and nanoLC lipidomics using a timsTOF HT MS system. It evaluates two extraction methods, various mobile phase compositions, and column technologies to maximize lipid annotation, reproducibility, and run efficiency.

Methodology and Instrumentation


Sample preparation involved MTBE and a simplified isopropanol (IPA) extraction. Mobile phases were water/IPA/acetonitrile with acetic and phosphoric acids plus ammonium acetate. Tested columns included YMC C18, Bruker Bio-LP, Waters Acquity BEH C18, and Kyoto Monotech monolithic C8 (analytical) and C18 (nano). Analytical separations used an Agilent 1290 Infinity II UHPLC with VIP-HESI; nanoLC used a Bruker nanoElute 2 with CaptiveSpray. Both systems were coupled to a Bruker timsTOF HT MS operating in DDA-PASEF mode with ion mobility. Data were processed in DataAnalysis 6.2 and MetaboScape 2025b.

Key Results and Discussion


The IPA extraction protocol streamlined preparation and increased lipid annotations by 6.75% versus MTBE. Monolithic analytical columns operated at 150–400 µL/min with reduced backpressure; monolithic nanoLC columns ran at 1.85 µL/min and ~550 bar, enabling 15-minute gradients. Modified mobile phases with YMC columns yielded ~16.9% more annotations, a gain confirmed on monolithic columns. NanoLC monolithics delivered the highest lipid IDs and reproducible profiles. Kendrick Mass Defect plots facilitated rapid lipid class visualization across methods.

Benefits and Practical Applications

  • High throughput: 15-minute lipidomic runs at elevated flow rates.
  • Improved sensitivity: enhanced detection of low-abundance species.
  • Streamlined workflow: fast, easy IPA-based extraction.
  • Robust operation: monolithic columns resist clogging and maintain reproducibility.

Future Trends and Opportunities


Custom-designed monolithic phases for specific lipid classes could further improve selectivity. Combining these columns with advanced ion mobility, data-independent acquisition, and automated IPA extraction promises deeper lipidome coverage and fully integrated high-throughput platforms for clinical and industrial lipidomics.

Conclusion


Monolithic LC columns, combined with an IPA extraction protocol, optimized mobile phases, and 4D-timsTOF MS, significantly enhance lipid annotation, throughput, and reproducibility. This integrated approach advances comprehensive lipid profiling of complex biological samples.

Reference


Peng X., Wang B., Krawitzky M., Nakabayashi R., Forsberg E. Monolithic Column for Improved 4D-Lipidomics Analysis. ASMS 2025 WP420.

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

Downloadable PDF for viewing
 

Similar PDF

Toggle
4D-Lipidomics™ workflow for increased throughput
4D-Lipidomics™ workflow for increased throughput Lipid profiling from complex lipid extracts can be a challenging and time consuming task. The high complexity of samples and co-elution of isobaric or isomeric compounds complicate the confident annotation of lipids. The presented 4D-Lipidomics…
Key words
ccs, ccsannotation, annotationlipid, lipidannotations, annotationslipids, lipidstimstof, timstofaware, awarebased, basedcoverage, coveragevalues, valuesdeep, deepcan, canmobility, mobilityrule, ruleannotated
4D Analysis of Lipid Nanoparticles (LNP) using Elute-timsTOF Pro 2 with VIP-HESI source
ASMS 2023 MP459 4D Analysis of Lipid Nanoparticles (LNP) using Elute-timsTOF Pro 2 with VIP-HESI source Intens. 3. LNP_E5_18_...: +MS, 6.3min, 1/K₀=0.971, #3486-3537 x10 5 4 3 369.3515 2 2Bruker Daltonik GmbH, Fahrenheitstraße 4, 28359 Bremen, Germany 3Bruker Scientific LLC,…
Key words
vip, viphesi, hesilnp, lnpmobility, mobilityesi, esidry, drytims, timsparameter, parametertemp, tempccs, ccscholesterol, cholesteroloffset, offsetlipids, lipidsencapsulating, encapsulatingprob
Bruker Product Overview - Life Science Mass Spectrometry
Bruker Product Overview - Life Science Mass Spectrometry
2020|Bruker|Brochures and specifications
Product Overview Life Science Mass Spectrometry Innovation with Integrity Mass Spectrometry Empowering Science with Innovation and Integrity As one of the world’s leading analytical instrumentation companies, Bruker offers a broad spectrum of advanced solutions in all fields of research and…
Key words
maldi, malditof, tofbruker, brukerrapiflex, rapiflexpasef, pasefevoq, evoqspectrometry, spectrometryscimax, scimaxmass, masstimstof, timstofmrms, mrmsproteomics, proteomicsmetaboscape, metaboscapelrf, lrfseries
Investigating the increased lifespan in C. elegans daf-2 mutants by 4D-Lipidomics
Investigating the increased lifespan in C. elegans daf-2 mutants by 4D-Lipidomics The small nematode Caenorhabditis elegans is one of the premier biomedical model organisms and employed in many aspects of basic and applied science Introduction Typical application areas for C.…
Key words
ccs, ccslipid, lipidcharacteristic, characteristicnegative, negativevalues, valuespasef, pasefmetaboscape, metaboscapelipids, lipidstimstof, timstoflipidblast, lipidblastccspredict, ccspredictpositive, positivespectra, spectrawild, wildassignment
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