Development and Validation of Valganciclovir and its Active Metabolite Ganciclovir Determination in Human Plasma by HPLC-UV Method
Bibliographic record
Abstract
Introduction. Viral infections are a serious problem that occurs during the use of immunosuppressants in preparation for organ transplantation and in the postoperative period. Cytomegalovirus (CMV) infection is one of the main causes of diseases in people with weakened immune systems. It has a direct impact on one’s body and makes it more likely to reject a transplanted organ. Antiviral drugs are used to treat and prevent this infectious disease. Valganciclovir is a prodrug whose active metabolite is ganciclovir. Valganciclovir is the drug of choice in the treatment of CMV infections. Currently, there are no researches on the matter of simultaneous determination of both valganciclovir and ganciclovir in human blood plasma by means of high-performance liquid chromatography (HPLC) with ultraviolet detection. This research delivers a thorough description of development and validation of a particular method for simultaneous determination of valganciclovir and ganciclovir in the plasma after sample preparation by the method of protein precipitation. Aim. The aim of this study is to develop method for the quantitative determination of valganciclovir and its active metabolite ganciclovir in human plasma by HPLC-UV for pharmacokinetic studies. Materials and methods. Quantitative determination of tadalafil in plasma by HPLC-UV. A sample was prepared using protein precipitation. Results and discussion. This method was validated by next validation parameters: selectivity, matrix effect, calibration curve, accuracy, precision, lower limit of quantification, carry-over and stability. Conclusion. The method of the quantitative determination of valganciclovir and its active metabolite ganciclovir in human plasma was developed and validated by HPLC-UV. The analytical range of the was 5,0–1000,0 ng/ml for valganciclovir and 100,0–10000,0 ng/ml for ganciclovir in plasma. Method could be applied to determination of valganciclovir and ganciclovir in plasma for PK and BE studies.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".