ResourceSeparations
Ultrafast analysis of metabolic stability assays using Agilent RapidFire High-Resolution MS
27 Jan 2022In this application note, Agilent Technologies evaluates the ability of a RapidFire High-throughput System integrated with an Agilent Q-TOF MS to provide equivalent assay results to LC/MS/MS, but with a much more efficient workflow and higher throughput.
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LC-MSLC-MS (liquid chromatography-mass spectrometry) systems and equipment are used for separation and quantitative analysis of complex mixtures, combining liquid chromatography and mass spectrometry. Quantify proteins, contaminants, pesticides or screen for drug metabolites with a high level of sensitivity. LC-MS systems and equipment include reverse phase, normal phase and specialized columns integrated with various MS detectors such as time-of-flight (TOF), quadrupole, orbitrap or ion trap mass analyzers. LC-MS/MS instruments equipped with a qTOF or triple quadrupole analyzer give greater sensitivity and resolving power to your analysis. Find the best LC-MS equipment in our peer-reviewed product directory: compare products, check customer reviews and receive pricing direct from manufacturers.Mass SpectrometryMass spectrometry (MS) is a powerful analytical technique used to identify and quantify molecules based on the mass-to-charge ratio of gas-phase ions. It provides detailed information about the structure, composition, and properties of compounds and is widely used across fields such as environmental monitoring, materials science, drug discovery and development, food and beverage testing, and wider chemical research. Key MS techniques include tandem mass spectrometry (MS/MS), liquid chromatography–mass spectrometry (LS-MS) and inductively coupled plasma (ICP-MS). Choosing from these wide range of techniques and technologies can be a daunting task, so keep up to date with scientific applications, performance expectations, and customer reviews here all in one place. Visit our product directory to receive quotes direct from the manufacturer.
High ThroughputHigh throughput experiments allow the simultaneous processing of several samples. This parallelization reduces the cost per experiment and increases reproducibility and output volume of data.