December Meeting

Speaker: Berk Oktem, Food and Drug Administration

Topic: Role of Mass Spectrometry in Chemical Analysis of Medical Device Extractables

Date: December 16, 2024

Time: 6:15 pm Dinner, 7:15 pm Presentation

Location: Shimadzu Scientific Instrument, Inc. Training Center 7100 Riverwood Drive, Columbia, MD 21046 (Directions)

Dinner: Please RSVP to Dingyin Tao (owendtao@gmail.com) by Friday, December 13 if you will be attending the dinner.

Abstract: TBD

November Meeting

Speaker: Ed Sisco, National Institute of Standards and Technology

Topic: What’s in My Drugs? – Using Ambient Ionization Mass Spectrometry to Gain Near Real-Time Insights into the Illicit Drug Supply

Date: November 18, 2024

Time: 6:15 pm Dinner, 7:15 pm Presentation

Location: Shimadzu Scientific Instrument, Inc. Training Center 7100 Riverwood Drive, Columbia, MD 21046 (Directions)

Dinner: Please RSVP to Dingyin Tao (owendtao@gmail.com) by Friday, November 15 if you will be attending the dinner.

Abstract: Drug overdoses remain near all-time highs, driven by the continued prevalence of synthetic opioids coupled with a constantly changing drug supply. Keeping pace with the drug supply makeup using traditional approaches (i.e., forensic laboratories or toxicology testing) is difficult due to backlogs and lagging spectral libraries. To address these challenges, NIST has worked to establish the Rapid Drug Analysis and Research (RaDAR) program which provides public health and law enforcement entities across the country access to rapid (24 hour) turnaround, comprehensive drug testing using drug paraphernalia residue and ambient ionization mass spectrometry (AI-MS). In this presentation I will discuss our efforts to develop AI-MS methods, libraries, and algorithms that have enabled this measurement capability, what data we are generating and how it is being used, and outstanding data analytic challenges we face. In addition, I will touch on our ongoing research efforts to develop rapid quantitation methods for drug samples as well as a new initiative to bring high-resolution AI-MS to the field through a mobile laboratory platform.
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Gold Sponsor Lightning Talk
Karen Luo, Mid-Atlantic MS Product Specialist
Agilent Technologies, Inc.

October Meeting

Speaker: Gabriella Weiss, NASA

Topic: Measuring intramolecular carbon isotope distributions in amino acids using Fourier transform mass spectrometry

Date: October 14, 2024

Time: 6:15 pm Dinner, 7:15 pm Presentation

Location: Shimadzu Scientific Instrument, Inc. Training Center 7100 Riverwood Drive, Columbia, MD 21046 (Directions)

Dinner: Please RSVP to Dingyin Tao (owendtao@gmail.com) by Friday, October 11 if you will be attending the dinner.

Abstract: Molecules form via the addition of single atoms or subunits of atoms and measuring the isotopic composition of different parts of a molecule can provide information about its synthesis as well as alteration by biological and abiotic processes. Molecule fragmentation using mass spectrometry is a common form of compound identification and recently, this has been leveraged to investigate the isotopic composition of specific compound moieties. Historically, intramolecular isotope measurements (i.e., position-specific isotope analysis, PSIA) were laborious, requiring large amounts of analyte and specialized instrumentation. Here, we discuss the use of Fourier transform mass spectrometry (FT-MS) for making molecular average and position-specific isotope measurements. FT-MS (i.e., Orbitrap mass spectrometry) permits the measurement of isotope ratios of intact molecules and their fragments without requiring conversion to simple gases like CO 2 . We focus on the analysis of amino acids and how PSIA of amino acids can be used to distinguish biological and abiotic processes.

Shimadzu Pharma Summit

Date
Tuesday, October 15, 2024
Time
9:00 AM to 5:00 PM
Location
Boston Marriott Cambridge
50 Broadway, Cambridge, MA 02142

Agenda
Enabling the Future of Pharma Through Analytics
Kevin Bateman, Ph.D.

AI-driven Process and Analytical Development
Eric Fang, Ph.D., Snapdragon Chemistry

Identification of a Novel Kinase Inhibitors using AI-led Drug Discovery and Physics-based Simulations
Sangamesh Badiger, Ph.D., Aurigene Pharmaceutical Services

Shimadzu Living Laboratory
Lakshmi Narayana, Ph.D., Daicel Chiral Technologies India Pvt

Identification and Quantification of Co-eluting Impurities in Pharmaceutical Analysis by i-PDeA
Dawen Kou, Ph.D., Genentech

Laser Desorption in Biological Analysis
Koichi Tanaka, Nobel Laureate, Shimadzu

Pharma Summit Invitation_Oct 15 2024
Register at https://ssi-shimadzu-8076067.hs-sites.com/2024pharmasummit

September 2024 Meeting and Vendor Night

Speaker: Neil L. Kelleher, Northwestern University

Topic: Digitizing Proteoform Biology with Single Molecule & Single Cell Mass Spectrometry

Date: Monday, September 16, 2024

Time: 6:00 pm Dinner and Vendor Night, 7:15 pm Presentation

Location: Shimadzu Scientific Instrument, Inc. Training Center 7100 Riverwood Drive, Columbia, MD 21046 (Directions) This will be an in-person meeting.

Dinner: Please RSVP to Dingyin Tao (owendtao@gmail.com) by Friday, September 13 if you will be attending the dinner.

Abstract: Since the completion of the Human Genome Project, much has been made of the need to bridge the gap from genes and traits. As a key nexus for the many interacting ‘-omes’ (genome, transcriptome, proteome, metabolome, etc.), the proteome should offer a tight link between genotype and phenotype. Proteoforms, or all of the precise molecular forms of a protein, capture all sources of variability in protein composition (i.e., SNPs, isoforms, post-translational modifications), and thus provide crucial insights into regulation and function. Now, “single ion” mass spectrometry is poised to convert genes to proteoform signatures at a far faster rate. Recently we developed proteoform imaging mass spectrometry (PiMS), with individual ion mass spectrometry. This platform has been extended now to single-cell Proteoform imaging Mass Spectrometry (scPiMS), boosting cell processing rates by >20-fold in the field while detecting proteoforms from single cells.