GEN-MKT-18-7897-A
Jul 14, 2023 | Blogs, LC, Pharma, SCIEX OS software, ZenoTOF 7600 system | 0 comments
Read Time: 3 minutes
So, you need a new liquid chromatography-mass spectrometry (LC-MS) system for your metabolite identification (metID) studies, and you are not sure which option is right for you. This blog provides an overview of the metID solutions offered by SCIEX, so you can make the best decision for your organization.
This is the first in a series of blogs intended to help you choose a system that meets your pharmaceutical research and development needs. We hope you find their guidance useful.
Let’s start with a simple question: Which of the following would help you sleep well at night?
We have great news for you: SCIEX has solutions for enabling both A and B. Let’s take a closer look.
Scenario A Let’s say you are looking for a system that will run larger batches of samples, and your analytes typically fragment well using collision-induced dissociation (CID), allowing confident identification of the site of metabolism without the need for additional confirmatory testing.
For a complex analysis, the requirements are relatively straightforward, and the priorities are probably ease of use and a robust system that does the job day in and day out. For this scenario, SCIEX recommends using the ExionLC 2.0+ system coupled to the X500R QTOF system, SCIEX OS software and maintenance with SCIEX service and support. The workflow described in the technical note Targeted high-resolution metabolite screening workflows demonstrates the performance you can expect from this solution.
Scenario B Suppose you have several samples where clear identification of the site of metabolism is not possible using CID. In this case, the use of a secondary analytical technique, such as nuclear magnetic resonance (NMR), is often required to meet regulatory requirements. Since this approach can be both time-consuming and expensive, an LC-MS system with more analytical power is ideal. Potent therapeutics is another common challenge in this type of scenario, which makes method sensitivity a key requirement for detecting low-abundant metabolites.
In these circumstances, SCIEX recommends using the ExionLC 2.0+ system coupled to the ZenoTOF 7600 system, SCIEX OS software and maintenance with SCIEX service and support.
The ZenoTOF 7600 system features the Zeno trap for enhanced sensitivity and electron activated dissociation (EAD) as a complementary fragmentation option. EAD typically fragments the metabolite in different locations, which can provide the additional information required for clear identification of the site of metabolism from a single analytical technique.
The workflow described in the technical note Confident characterization and identification of glucuronide metabolites using diagnostic fragments from electron activated dissociation (EAD) is a useful example of this solution.
Learn more For more information on the options SCIEX offers for metID, please speak to your account manager or visit our web page on comprehensive metID.
At SCIEX, innovation doesn’t stop at instruments; it extends to how you interact with your LC-MS/MS or CE systems every day. That’s why we’re excited to introduce the SCIEX Now spring 2026 improvements: a set of meaningful enhancements shaped directly by your feedback.
In today’s fast-paced analytical laboratories, uptime is not just important; it is mission-critical. Whether you are running high-throughput bioanalysis, environmental testing, or pharmaceutical workflows, every minute of LC-MS downtime can impact productivity, data quality, and timelines.
That is why we are excited to introduce a smarter and faster way to troubleshoot.
Ultra‑low reporting limits, expanding target lists, and the constant risk of background contamination mean that even small missteps before injection can compromise data integrity. PFAS can be introduced at nearly every stage of prep, from sampling containers and PPE to SPE cartridges, filters, solvents, and lab consumables, making contamination control as critical as analyte recovery.
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