An integrated ceramic, micro-fluidic device for the LC/MS/MS analysis of pharmaceuticals in plasma
Bibliographic record
Abstract
An integrated capillary scale (300 μm id) ceramic microfluidic LC system combined with MS/MS has been successfully employed for the quantitative analysis of pharmaceutical compounds in human plasma. The capillary ceramic microfluidic LC/MS/MS system showed an approximate 20-fold (range 11-38-fold) increase in sensitivity compared with a standard 2.1 mm scale UPLC/MS/MS system for a broad range of analytes. The loading capacity of the devices capillary separations channel allowed injection of 2 μL of an aqueous solution, and up to 1.2 μL of a typical protein-precipitated plasma sample, onto the reversed-phase chromatography system. The system also showed excellent chromatographic performance and robustness, with no deleterious effects on the chromatography observed over the course of 1000 injections of protein-precipitated plasma. The ability of the ceramic microfluidic LC/MS/MS system to deliver this level of sensitivity and performance enables the routine quantification of pharmaceutical compounds from small format samples, such as those obtained by dried blood spot or other blood microsampling approaches, to be performed.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".