North Jersey Section
American Chemical Society

May 29, 2014 – NMR Topical Group Meeting

The North Jersey ACS NMR Topical Group proudly presents its May monthly meeting at Rutgers CABM on New Date: Thursday, May 29, 2014. [ register ]  Note: This meeting had been scheduled on May 21.

VENUE: Our meetings this year are at the CABM (Center for Advanced Biotechnology and Medicine) on the Rutgers Busch Campus, 679 Hoes Lane West, Piscataway NJ 08854 [ map & directions ].

The meeting is in Room 010, which is located near the main entrance of CABM. Parking is available in the lot across the street from the CABM building. Dinner will be served in the meeting room.

Featured Presentations

I. “Agilent Technology Overview”

Bill Marathias Ph.D.

NMR Applications Scientist, Agilent Technologies, Inc, Boston MA

II. “NMR, Metabolomics, and Fermentation Process Analysis”

D. Christopher Roe

Corporate Center for Analytical Sciences
DuPont Experimental Station, Willmington, DE

Program

6:00 pm Dinner
7:00 pm Presentation by Dr Marathias
7:15 pm Presentation by Dr Roe

Meeting Venue

CABM (Center for Advanced Biotechnology and Medicine) on the
Rutgers Busch Campus

    679 Hoes Lane West, Piscataway NJ 08854

Dinner is free, compliments of our sponsor.

Register: Online below or via e-mail to Swapna Gurla at gvts@cabm.rutgers.edu.

Abstract for Talk II:

Fermentation processes constitute a significant aspect of DuPont’s drive to sustainability and the production of renewably sourced materials. Fermentation process analysis typically involves monitoring selected metabolites and products, and although trends may be discerned, it is hard to know how to relate these observations to overall process performance. In an effort to accelerate fermentation process development, multivariate methods are being applied to combined fermentation and analytical data sets in order to provide an overview of the fermentation process. The goal is to identify differentially expressed metabolites that contribute significantly to the differences between fermentations (e.g., growth variability, high vs. low titer, or one strain vs. another). This information can be assessed for biological significance, and metabolic engineering can be considered for the identified metabolic pathways. The merits of NMR for metabolomic analysis will be described along with data “pre-processing” methods prior to multivariate analysis. A synopsis of multivariate methods will be given and examples of fermentation time course studies will be presented.

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