Bottom-up proteomics is a highly successful and generic technology, which now allows the analysis of complex samples ranging from bacteria through cell line systems and even human tissue samples. The current performance level is a result of improvements not only in the mass spectrometric components but also the chromatographic part of the LC-MS workflow. In the quest for ever increasing chromatographic separation power, columns have become longer and particle sizes smaller - now reaching the sub 2um range. This may require pump pressures more than 1000 bar, presenting great engineering challenges for both the pumps and the entire LC system, often limiting robustness in routine operation. Thus, chromatography remains a weak link in MS-based proteomics.
At Evosep, we developed and evaluated two new LC concepts—“pre-formed gradients” and “offset gradients for peptide re-focusing”— to enable robust operation in large cohort studies with minimal cross-contamination. We found that the decoupling of gradient formation with a low-pressure system and the high-pressure peptide separation ensured stable and uninterrupted operation with-out instrument related issues or deterioration in chromatographic performance. As expected from its design, the Evosep One proved to have minimal or absent cross contamination and very high consistency of label-free quantitation results across injections.
>10x reduction in sample-to-sample carry over,
>30.000 injection service interval for increased robustness,
>1-3 minutes sample cycle overhead regardless of gradient for high throughput and MS utilization
>Chromatographic performance (peak capacity) comparable to conventional
high-end and low-flow HPLC’s.
Mass spectrometry vendors have improved technology with more sensitive and faster detector. Taken together, these features enable short gradients for reliable high throughput in large cohort studies.
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Branche
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Forskning inden for bioteknologi
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Virksomhedsstørrelse
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11-50 medarbejdere
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Hovedkvarter
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Odense C, South Denmark
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Specialer
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proteomics og clinical proteomics