MétaCan
Menu
Back to cohort
Record W23486249 · doi:10.1038/ismej.2013.31

Estudio comparativo de la determinación del metronidazol en formulaciones farmacéuticas, mediante voltametría de pulso diferencial y espectroscopia de Infrarrojo con transformada de fourier

2015· article· en· W23486249 on OpenAlexaboutno aff
María Escalante, Reynaldo Luis Ortíz Ramos, Elkis Weinhold, Gladys Josefina Velazco Viloria

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectrochemical sensors and biosensors
Canadian institutionsnot available
Fundersnot available
KeywordsDetection limitAnalytical Chemistry (journal)ChemistryDifferential pulse voltammetryFourier transform infrared spectroscopyNuclear chemistryCyclic voltammetryPhysicsElectrochemistryChromatographyElectrodePhysical chemistryOptics

Abstract

fetched live from OpenAlex

In this work, a comparative study for the determination of the antibiotic metronidazole was performed in two different pharmaceutical formulations by Fourier transformed infrared spectroscopy and differential pulse voltammetry. The differential pulse voltammetry shows a reduction response of the antibiotic on glassy carbon electrode at 0.55 V vs. Ag/AgNO3 at san rate of 5 mVs-1 in a Britton-Robinson Buffer at pH 4.5. Detection limit of 7.17 x 10-7 M was achieved, and a recovery average 101.4% and 97.4% for the tablet and intravenous solution respectively. For the Fourier transformed infrared spectroscopy technique, pure acetonitrile was used as solvent, and the band of the C-O Group at 1188 cm-1 was employed for the quantification. Detection limit of 8.9 x 10-6 M with an average recovery of 117,7% for the Tablets and 101.0% for the intravenous solution.

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)0.002
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 score0.025
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.010
GPT teacher head0.259
Teacher spread0.249 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

Explore more

Same topicElectrochemical sensors and biosensorsFrench-language works237,207