Tandem <scp>LC</scp> columns for the simultaneous retention of polar and nonpolar molecules in comprehensive metabolomics analysis
Bibliographic record
Abstract
The tandem use of hydrophilic interaction LC columns with RP columns in series configuration has resulted in the retention of both polar and nonpolar components in complex biological samples (mouse serum) in a single analysis. This approach successfully coupled various columns with orthogonal separation characteristics, employed a single solvent gradient program compatible with the two columns and used ESI coupled to a TOF mass spectrometer for detection. Ion suppression, a common problem in ESI, was virtually eliminated for components eluting with apparent capacity factors >0.7. Retention time reproducibility with the tandem columns performed over three days with over 100 injections was comparable to that observed for single columns alone. This method was applied to the analysis of a pooled mouse serum sample and afforded highly reproducible data for up to 3000 mass spectral features. This approach was implemented with a conventional LC-MS system and should find broad applicability in the comprehensive analysis of complex mixtures containing a wide range of compound polarities.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".