MS‐Compatible HPLC Method for Simultaneous Estimation of Ceftriaxone, Pantoprazole, and Ondansetron in Parenteral Formulations and Admixtures
Bibliographic record
Abstract
Abstract Concomitant therapies are used for the treatment of serious infection in hospitalized patients. In such treatment, antibiotics had been co‐administered with other drugs like antacids and antiemetic drugs admixed in infusion solution. Such a combination is ceftriaxone sodium, pantoprazole sodium, and ondansetron hydrochloride in parenteral admixture with 5% w/v dextrose injection and 0.9% w/v sodium chloride injection. For evaluation of such a type of combination, a robust mass spectroscopy‐compatible HPLC method for simultaneous quantification had been developed with the aid of Analytical Quality by Design , and the method operable domain region and by evaluating the interaction between critical method parameters/critical method attributes by optimizing the HPLC method using the Box–Behnken design. The optimized method was achieved using a Tragetsil RP‐18 (150 mm × 4.6 mm, 3 µm) column, a gradient of buffer (0.1% trifluoroacetic acid in water), and a solvent mixer (methanol:acetonitrile (50:50, %v/v)) at flow rate of 1 mL/min and detection wavelength at 220 nm. The proposed method was successfully validated according to International Council for Harmonization Q2(R2) guidelines for specificity, accuracy, precision, sensitivity, and linearity over concentrations ranging 100–300 µg/mL for ceftriaxone sodium, 4–12 µg/mL for pantoprazole sodium, 0.4–1.2 µg/mL for ondansetron hydrochloride, respectively. The method exhibits a high degree of accuracy, which was found to be between 98.3% and 101.5% for triplicate at three concentrations. Alongside, limit of quantification level is achieved at 4.01, 0.16, and 0.20 µg/mL for ceftriaxone, pantoprazole, and ondansetron respectively. Analytical Quality by Design based method was successfully applied to estimate ceftriaxone sodium, pantoprazole sodium, and ondansetron hydrochloride in their marketed formulations, such as Monocef, Pantodac, and Emeset respectively as well as in parenteral admixture with 5% w/v dextrose injection and 0.9% w/v sodium chloride injection.
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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".