SCIEX

In this article, we explore how mass spectrometry imaging technology is evolving into a high-resolution spatial biology toolset to transform drug discovery and development.

The SCIEX 7500+ system takes precision quantitation to the next level. Achieve accurate results over sustained periods of time, across thousands of sample sets in increasingly complex matrices.

This app note highlights a system that can minimize downstream ion path contamination, maintaining the highest levels of sensitivity and stability over an extended period.

Technology Networks joined SCIEX for a discussion about the company’s latest product launches at this year’s ASMS conference.

At ASMS 2024, SCIEX, introduces ZT Scan DIA for LC-MS/MS, the next generation in data-independent acquisition (DIA) that leverages the combination of the quadrupole dimension with the rich MS2 data attainable from the Zeno trap.

At ASMS 2024, SCIEX, in collaboration with Mass Analytica, presents artificial intelligence quantitation (AI quant) software.

At ASMS 2024, SCIEX, launches the SCIEX 7500+ system, the newest mass spectrometer in the SCIEX quantitative portfolio, building upon a legacy of reliable, sensitive quantitation.

Accurate and precise measurement of pharmaceutical drugs in complex matrices can be challenging due to the presence of matrix contaminants. To ensure the highest levels of accuracy and precision, it is imperative to use highly robust analytical techniques. Triple quadrupole mass spectrometers are widely used in quantitative bioanalysis because of their stable analytical performance over an extended period. Here, exceptional sensitivity and stability were demonstrated to support bioanalytical workflows in high-throughput laboratories.

Biopharmaceutical product development is all about product knowledge, whether it be writing a regulatory submission, investigating unexpected results, or performing extended characterization.

Mass spectrometry (MS)-based omics technologies have revolutionized our understanding of molecular changes in organisms and are crucial for studying metabolism and related diseases through lipidomics and metabolomics. Despite significant advances, there is still a need for robust analytical methodologies in data acquisition, data processing and annotation.
This webinar will demonstrate how LC-Zeno SWATH DIA outperforms conventional DDA in annotating metabolites and lipids in the model organism Gammarus fossarum. Additionally, the presentation will showcase the effectiveness of electron activated dissociation (EAD) in characterizing lipid species and elucidating metabolite isomers. Finally, the webinar will illustrate how EAD and high-resolution targeted approaches improve structural elucidation and molecular network construction.