NJ-ACS Mass Spec Discussion Group
The NJ Mass Spectrometry Discussion Group is pleased to announce our April Monthly Meeting. NJ MSDG is the second largest mass spectrometry professional association in the nation behind ASMS, with over 1,100 members in the tristate area. [ homepage ]

Date:    Tuesday April 10, 2018

Venue:   Somerville Elks Lodge 1068       New venue! 

     375 Union Ave Bridgewater, NJ 08807

Sponsor: Agilent

Please  register here.  Registration is free, compliments of Agilent Technologies.


5:30 PM    Social and Registration  
6:15 PM    Complimentary Dinner
7:00 PM    Welcome and Opening Remarks
7:05 PM    Speakers

Speaker 1:  Dr. Jun Dai

Bristol-Myers Squibb – Discovery Analytical Sciences, Lawrenceville, NJ

“A novel online capillary isoelectric focusing – mass spectrometry (cIEF-MS) method for the separation and characterization of monoclonal antibody charge variants”

Abstract for Dr. Dai:

A reliable direct online cIEF-MS method was successfully developed, for the first time, to separate and characterize charge variants of monoclonal antibodies (mAbs). The method is based on electrokinetically pumped sheath liquid nanospray CE-MS technology using a CMP EMASS-II ion source on an Agilent TOF-MS. The cIEF-MS charge profiles are well aligned with imaged cIEF-UV results and provide valuable MS information of protein charge variants. We believe that this integral cIEF-MS platform can be a crucial technology in meeting the challenges of charge variant characterization for biotherapeutics.

Speaker 2:  Dr. Erin Baker

PNNL – Richland, WA

“Increasing Molecular Coverage in Complex Biological & Environmental Samples Using Ion Mobility-Mass Spectrometry”

Abstract for Dr. Baker:

Mass spectrometry (MS)-based technologies are playing a growing role in the analysis of complex samples. Despite significant advances in MS technology, currently it is difficult to obtain measurements of both high throughput and high sensitivity for samples with great dynamic ranges such as biofluids and plant extracts. This problem ultimately results in the inability to effectively account for variation among sample conditions and/or biodiversity leading to inconsequential findings for samples which have great variation. To address this challenge, we have coupled an ion mobility separation (IMS) with MS to afford greatly improved measurement throughput, sensitivity, robustness, and quantitative capabilities for rapid analysis of complex samples. The benefits we have observed in omic studies of biological and environmental samples with IMS-MS will be summarized in this presentation.