Sub‐2 μm HPLC coupled with sub‐ppm mass accuracy for analysis of pharmaceutical compound libraries
Why this work is in the frame
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Bibliographic record
Abstract
Recent advances in accurate mass analysis are poised to allow the high-throughput production of accurate mass data on many more compounds than was previously available. It is shown that sub-ppm mass accuracy (producing elemental compositions) can be obtained on a simple TOF mass spectrometer operating in the manufacturer's standard mode. Concomitantly, there have been important technological advances in LC with respect to speed of analysis using sub-2 microm particle columns. Much of the sub-2 microm work in the literature has been under the label ultra performance LC (UPLC), however, we show that very high-speed results can be obtained using other manufacturer's pumps by using elevated column temperatures. Using elevated temperatures, HPLC peak widths on the order of 1 s can be obtained. We report the coupling of these two technologies (sub-ppm mass accuracy MS with high-speed HPLC) for the rapid analysis of compounds entering pharmaceutical libraries.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it