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Why You Need a Verification-class Mass Spectrometer

Part 1: A stellar way to overcome barriers for discovery verification

This is the first in a multi-part blog series highlighting the key pillars and impressive benefits of the Stellar mass spectrometer—the first-of-its-kind solution purpose-built for discovery verification. Stay tuned for more blog posts in the series.  

If you were a handyman, you wouldn’t dream of using a wrench as a hammer, or a screwdriver as a chisel. You always need the right tool for the job. Same is true for clinical and translational researchers, who depend on having the right solution to maximize their productivity while advancing their research.

The challenge: A missing tool in the discovery-to-validation workflow

For decades, clinical and translational researchers have struggled with biomarker verification workflows due to a technology gap. There’s no current technology that simultaneously addresses the scale, sensitivity and throughput demands without some serious drawbacks. You know this well.

Triple quad technology performing multiple reaction monitoring (MRM) is challenged to keep up with limited capacity to handle massive target lists while quantifying at lower limits using faster LC gradients.

HRAM MS technology performing parallel reaction monitoring (PRM) are challenged to maintain high sensitivity with high acquisition speeds to function with high throughput at experimental scale.

The breakthrough solution: The first-of-its kind verification-class MS

Researchers struggling to fill the technology gap need not struggle any more. The first-to-market Thermo Scientific Stellar mass spectrometer expertly addresses the shortcomings of both ends of the existing verification-based mass spectrometer spectrum with its: 

Bridging the gap between discovery and clinical validation

Not only does the Stellar MS represent a new class of instrument, it serves as the perfect “companion” product between the upstream HRAM instruments doing discovery and the triple-quad systems performing the downstream validation processes.

After discovery, the Stellar MS becomes invaluable for the verification phase—using quantitative accuracy to narrow the broad list of candidates with the highest potential down to the best set of markers to move into clinical validation. It can process a large list of potential candidates with the added benefits of higher sensitivity and quantitative accuracy.

Transitioning from verification to validation may deliver a narrowed set of biomarker candidates that have the greatest potential for specific and sensitive sample classification.  Based on the Stellar mass spectrometer’s work, researchers now know the sample preparation steps, LC methods, retention times, detection range (LLOD/LLOQ) and method robustness that can be carried over to streamline validation. 

In addition, researchers also have the option to directly transition the LC-MS/MS method to the Thermo Scientific TSQ Altis Plus triple quadrupole mass spectrometer if expanded laboratory capacity is needed. The ESI source, ion source settings, and Thermo Scientific Xcalibur software provide direct overlap to minimize additional method refinement.  The TSQ Altis Plus MS also has the same robustness to ensure maximum uptime to complete studies with higher throughput.  

No longer stuck in discovery: expanded capability across the entire workflow

Many translational researchers have avoided the move to targeted verification methods due to the complexity, as well as the lack of experience operating triple quadrupole systems to create, refine and implement these highly multiplexed methods. The introduction of the Stellar MS workflow streamlines the process while delivering quantitative performance.

Therefore, researchers can expand their laboratory capacity and advance their research work in house, without the need to add people, learn new skills or devote months to this work. Researchers can cover more of the workflow process themselves—all the way to the validation phase—enabling them to maintain better control, reduce costs and increase confidence in the results.    

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