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Record W4394700253 · doi:10.53555/sfs.v10i1.2518

A Novel Technique For The Simultaneous Analysis Of Drosperinone And Estetrol In Bulk And Tablet Dosage Form By Rp- Uplc

2023· article· en· W4394700253 on OpenAlexvenueno aff
Y. Haritha Sri, LAGU SURENDRA BABU, M Raghu Prasady, M. Sri Vinay Reddy, D. Ganesh, Y. Rajendra Prasad

Bibliographic record

VenueJournal of Survey in Fisheries Sciences · 2023
Typearticle
Languageen
FieldChemistry
TopicAnalytical Methods in Pharmaceuticals
Canadian institutionsnot available
Fundersnot available
KeywordsChromatographyDosage formHigh-performance liquid chromatographyChemistryMathematicsPharmacologyMedicine

Abstract

fetched live from OpenAlex

A convenient, precise, consistent, and robust quantitative approach was established for separation and simultaneous quantification of drosperinone and estetrol in bulk and tablet dosage form. The chromatographic separation was carried out by using CSH C18( 50x 2.1mm, 1.7) column at a temperature of 30°C and by using isocratic separation mode with a flow rate of 0.3ml/min. The system was operated by using mobile phase 0.01N kh2po4 buffer and acetonitrile(60:40v/v) with a TUV detector at a detection wavelength of 240nm. Drosperinone and Estetrol retention time was found to be 1.87min and 1.46min respectively. The recommended method was validated for linearity, accuracy, precision, robustness as per the ICH guidelines and the method found to be acceptable. The stress degradation studies were developed and found to be satisfactory. Results shows that the proposed method was precise, simple, robust and suitable for routine analysis

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.001
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.173
GPT teacher head0.375
Teacher spread0.202 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreMethods

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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