Free Webinar - Considerations for Selecting the Optimal Stationary Phases for Proteomic Trap-and-Elute NanoLC-MS

Learn how the trap-and-elute NanoLC-MS system enables high-throughput, highly sensitive proteomic separation that overcomes small volume limitations of nanocolumns

16 Jan 2018
Frankie MacDonald
Administrator / Office Personnel

Liquid chromatography-mass spectrometry (LC-MS) is a highly efficient separation platform for identifying compounds in complex mixtures by combining physical separation with mass analysis . The emergence of Nanoscale LC technology allows for greater sensitivity to be achieved, and enables increased spectrometric resolution when coupled with mass spectrometry. Whilst this approach is particularly useful when sample availability or target peptide concentration is low, it is not suitable for large-volume sample separations.

The trap-and-elute method for nanoflow LC-MS, however, can overcome the limitations of small volume nanocolumns by allowing for relatively large volumes to be injected without compromising sensitivity. Further benefits of the nano LC-MS configuration can include the prevention of column clogging and build-up of impurities, as well as flexibility with the nanocolumn stationary phase.

Join us for this free webinar, in which Moon Chul Jung, Ph.D., of Waters Corporation, discusses the advantages of the trap-and-elute nanoLC-MS system and considers common configurations for optimal proteomic separation using the nanoflow system.

Registration for this live event on Wednesday, January 24, is now open. Don’t worry if you cannot attend, register here and you can watch this webinar on demand at a time that is more convenient for you.

In this webinar you will learn about:

  • Common trap-and-elute system configurations and benefits
  • Factors influencing the efficiency of trap-and-elute nanoLC methods
  • Understanding and utilizing retentivity of stationary phases

This webinar will go live, Wednesday January 24, at:

  • 11.00 EST
  • 16:00 GMT
  • 17:00 CET
  • 08:00 PST

If you can't attend the live event, simply register to watch the webinar on demand at a time that suits you.

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