The 55th ASMS Conference on Mass Spectrometry was held from June 3-7 this year within the confines of the Indiana Convention Center in Indianapolis, Indiana. Thousands of scientists were in attendance with nearly 3000 papers presented as posters and talks.
The 55th ASMS Conference on Mass Spectrometry was held from June 3–7 this year within the confines of the Indiana Convention Center in Indianapolis, Indiana. Thousands of scientists were in attendance with nearly 3000 papers presented as posters and talks.
On June 2–3, just before the main conference started, a series of short courses were delivered on a variety of topics from the field of mass spectrometry (MS). Included in the two-day courses were Drug Discovery Using Mass Spectrometry: From Target Identification to IND Enabling Studies; FTMS: Principles and Applications; Interpretation of Mass Spectra; LC/MS: The Techniques of Electrospray, APCI, and APPI; LC/MS Technology: Fundamentals and Applications of High Resolution/Accurate Mass in Pharmaceutical Analysis; LC/MS: Practical Aspects; MALDI-TOF/MS: Fundamentals and Applications; Introduction to MS/MS; Mass Spectrometry of Peptides and Proteins; Quadrupole Ion Trap Mass Spectrometry; and Quantitative Mass Spectrometry. Two one-day courses included Introduction to Mass Spectrometry and Metabolomics.
The conference kicked off on June 3 with two tutorial lectures: Why You Can't Patent Ions (Or Can You?), by Michael R. Asam, from Fish & Richardson Attorneys at Law, and Turning Mass Spectrometers into Chemical Reactors: Taking Full Advantage of Ion Chemistry, by Scott Gronert of Virginia Commonwealth University (Richmond, Virginia).
The main area of concentration for the oral sesssions was once again the biomedical field. Sessions on this topic covered drug metabolites, peptides and proteins as biomarkers, biopolymer dynamics, MS evaluations of biomarkers, and increasing MS throughput in pharmaceutical bioanalysis. In addition, the majority of poster sessions dealt with the area of proteomics.
Other areas covered in the oral sessions included characterizing environmental contaminants, ion mobility instrumentation, oxidized proteins, ESI of small molecules, portable MS instruments, the role of MS in homeland security, metal ion activated dissociation, and ambient ionization MS.
Plenary lectures delivered at the conference included Lessons from the Dover Trial: Science, Culture, and the Law, by Eugenie C. Scott, executive director of the National Center for Science Education, Inc. The closing plenary lecture, titled Regulation of Sorting and Processing of the Alzheimer's Amyloid-Beta Precursor Protein, was delivered by Samuel Gandy, Director, Farber Institute for Neurosciences at Thomas Jefferson University (Philadelphia, Pennsylvania).
Hospitality suites sponsored by exhibitors were located at the Marriott and Westin hotels in the city. These suites were set up as a way for conferees to relax after a day of attending the conference while being able to see additional displays of products and services offered by various companies.
Next year, the 56th Annual ASMS Conference will be held June 1–5 in Denver, Colorado. For more information, contact ASMS at:
2019 Galisteo St., Building I-1
Santa Fe, NM 87505
Tel: (505) 989-4517
Fax: (505) 989-1073
E-mail: office@asms.org
AI and Dual-Sensor Spectroscopy Supercharge Antibiotic Fermentation
June 30th 2025Researchers from Chinese universities have developed an AI-powered platform that combines near-infrared (NIR) and Raman spectroscopy for real-time monitoring and control of antibiotic production, boosting efficiency by over 30%.
Toward a Generalizable Model of Diffuse Reflectance in Particulate Systems
June 30th 2025This tutorial examines the modeling of diffuse reflectance (DR) in complex particulate samples, such as powders and granular solids. Traditional theoretical frameworks like empirical absorbance, Kubelka-Munk, radiative transfer theory (RTT), and the Hapke model are presented in standard and matrix notation where applicable. Their advantages and limitations are highlighted, particularly for heterogeneous particle size distributions and real-world variations in the optical properties of particulate samples. Hybrid and emerging computational strategies, including Monte Carlo methods, full-wave numerical solvers, and machine learning (ML) models, are evaluated for their potential to produce more generalizable prediction models.