This Wednesday morning session will cover instrumental advances for improving signal-to-noise, digital waveform technology, ion mobility, and duty cycle, and for MS analysis of precursor and neutral loss scans and intact high m/z molecular ion analysis. It will be chaired by Randall E. Pedder of Ardara Technologies and will be held in Hall D from 8:30 to 10:30 a.m.
This Wednesday morning session will cover instrumental advances for improving signal-to-noise, digital waveform technology, ion mobility, and duty cycle, and for MS analysis of precursor and neutral loss scans and intact high m/z molecular ion analysis. It will be chaired by Randall E. Pedder of Ardara Technologies and will be held in Hall D from 8:30 to 10:30 a.m.
This session will open with a presentation by Andrew N. Krutchinsky of The Rockefeller University titled “A New Instrument for Improving the Signal-to-Noise of Mass Spectra.” Krutchinsky will discuss the development of a multi-quadrupole ion trap instrument that is capable of performing parallel MS operations and on-line charge separation and enrichment.
Krutchinsky’s presentation will be followed by a talk given by Peter T.A. Reilly of Washington State University titled “Advancing Digital Waveform Technology.” This presentation will describe how digital waveform technology can be used to develop new methods of operating traps and guides that vastly outperform current technology.
Chun-Yen Cheng of AcroMass Technologies in Taipei, Taiwan will then present a talk titled “inTrap-MALDI Charge Detection Mass Spectrometry for Intact High m/z Molecular Ion Analysis.” In this presentation, a system will be described that consists of three essential components: a charge-sensing particle detector, a high-accuracy quadrupole ion trap, and a waveform synthesizer that applies phase-modulated RF waveforms on the quadrupole ion trap.
Next, Xiaoyu Zhou of Tsinghua University, Beijing, China, will present “Ion Mobility Separation Using a Dual-Trap Instrument.” This talk will focus on a new technique that enables ion mobility separation achieved through multiple ion transfers between the traps.
The next presentation will be given by Dalton Snyder of Purdue University and is titled “Precursor and Neutral Loss Scans on Benchtop and Portable Ion Trap Mass Spectrometers.” Snyder’s presentation will document the first implementation of precursor and neutral loss scans on benchtop and portable linear ion trap systems.
The session’s final presentation, titled “Multiplexed Operation of an Orthogonal Multi-Reflecting TOF Instrument to Increase Duty Cycle by Two Orders,” will be given by Boris Kozlov of Waters Corporation. The talk will discuss a method that is artifact free and provides duty cycles comparable with conventional, non MR-TOF systems without affecting MR-TOF resolution and mass accuracy.
Measuring Stress and Reproductive Hormones in Dolphins with UPLC
November 25th 2024A recent study measured stress and reproductive hormones in three stocks of free-ranging bottlenose dolphins inhabiting different natural salinities across the Gulf of Mexico, with hormones extracted from the blubber of 82 remotely biopsied dolphins and quantified using ultra performance liquid chromatography (UPLC) coupled with orbitrap fusion mass spectrometry.
AI and GenAI Applications to Help Optimize Purification and Yield of Antibodies From Plasma
October 31st 2024Deriving antibodies from plasma products involves several steps, typically starting from the collection of plasma and ending with the purification of the desired antibodies. These are: plasma collection; plasma pooling; fractionation; antibody purification; concentration and formulation; quality control; and packaging and storage. This process results in a purified antibody product that can be used for therapeutic purposes, diagnostic tests, or research. Each step is critical to ensure the safety, efficacy, and quality of the final product. Applications of AI/GenAI in many of these steps can significantly help in the optimization of purification and yield of the desired antibodies. Some specific use-cases are: selecting and optimizing plasma units for optimized plasma pooling; GenAI solution for enterprise search on internal knowledge portal; analysing and optimizing production batch profitability, inventory, yields; monitoring production batch key performance indicators for outlier identification; monitoring production equipment to predict maintenance events; and reducing quality control laboratory testing turnaround time.