Impact of Plasma and Whole-Blood Anticoagulant Counter Ion Choice on Drug Stability and Matrix Effects During Bioanalysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Anticoagulants are used to prevent coagulation in blood samples. The plasma pH may change with a different counter ion and anticoagulant; thus, it is essential to determine effects on drug stability and the matrix effect during the bioanalytical method development. RESULTS: Cross-validation of multiple compounds between different counter ions was performed and no impact from the counter ion nature was demonstrated. Moreover, plasma stabilities and matrix effects for both fluconazole and granisetron were investigated thoroughly in numerous counter ions/anticoagulants (K(3)ethylenediaminetetraacetic acid [K(3)EDTA], K(2)EDTA, NaEDTA, NaHeparin and LiHeparin). Sirolimus, a large cyclic molecule, was also tested in different whole-blood EDTA counter ions. Results showed percentage deviation less than 8.5% and percentage cross-validation less than 8.4%. CONCLUSION: None of the compounds tested had an impact on the matrix stabilities and matrix effect.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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