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Record W2335881625

DEVELOPMENT AND VALIDATION OF RAMIPRIL ESTIMATION FROM CAPSULES USING VISIBLE SPECTROPHOTOMETRIC METHOD

2011· article· en· W2335881625 on OpenAlexvenueno aff
B. Kalyana Ramu, K. Raghubabu

Bibliographic record

VenueInternational Journal of Chemistry · 2011
Typearticle
Languageen
FieldChemistry
TopicAnalytical Methods in Pharmaceuticals
Canadian institutionsnot available
Fundersnot available
KeywordsChemistryRamiprilMolar absorptivityReagentChromatographyCapsuleCalibration curveExtraction (chemistry)Analytical Chemistry (journal)Detection limitOpticsOrganic chemistry
DOInot available

Abstract

fetched live from OpenAlex

A simple, rapid, sensitive, extraction free and cost effective visible spectrophotometric method has been developed for the determination of Ramipril in bulk and capsule formulations. The proposed method is based on the formation of yellowish brown coloured species by the drug with Folin reagent and exhibits ג max at 456.5 nm. The calibration graph is linear over the concentration range of 16‐48µg/ml with Molar absorptivity of 4.98783X103 l/mol/cm and Sandell’s sensitivity of 0.08351 µg/cm2 0.001 abs. unit. The proposed method is applied to commercial available capsules and the results are statistically compared with those obtained by the UV reference method and validated by recovery studies. The results are found satisfactory and reproducible. The method is applied successfully for the estimation of the Ramipril in capsule formulations without the interference of excipients.

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)0.003
metaresearch head score (Gemma)0.003
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.096
GPT teacher head0.403
Teacher spread0.307 · 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
GenreEmpirical

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

Citations5
Published2011
Admission routes1
Has abstractyes

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Same venueInternational Journal of ChemistrySame topicAnalytical Methods in PharmaceuticalsFrench-language works237,207