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Record W3212569700 · doi:10.5267/j.ccl.2021.11.001

Eco-friendly ultraviolet spectrophotometric methods for the determination of clotrimazole and tinidazole in bulk and ointment dosage form

2021· article· en· W3212569700 on OpenAlexvenueno aff
Kanaka Parvathi Kannaiah, Abimanyu Sugumaran

Bibliographic record

VenueCurrent Chemistry Letters · 2021
Typearticle
Languageen
FieldChemistry
TopicAnalytical Methods in Pharmaceuticals
Canadian institutionsnot available
FundersSRM Institute of Science and Technology
KeywordsTinidazoleClotrimazoleChemistryEnvironmentally friendlyChromatographyDosage formMetronidazoleAntifungalBiochemistryAntibiotics

Abstract

fetched live from OpenAlex

Analyzing a drug over its overlapped spectra utilizes sophisticated instruments and more toxic solvents, which has a deleterious effect on environmental safety. There is an alarming need to develop a simple, novel, and cost-effective method for determining combined substances that are non-toxic to the environment. So, the study aimed to develop four simple, fast and eco-friendly spectrophotometric techniques for quantifying clotrimazole and tinidazole in bulk and ointment dosage form. Stock solutions produced at concentrations of 7 to 13 and 17.5 to 32.5 µg/mL of clotrimazole and tinidazole in 10% v/v ethanol and scanned in the UV-visible range 200-450 nm, and used for all methods. The methods were validated according to the International Council for Harmonization guidelines and found to be within limits. Additionally, the outliers were tested by using the Grubbers test and found within limits. Finally, green evaluation studies show that the method is more environmentally friendly, as confirmed by four assessment tools.

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)0.002
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: none
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
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 head0.036
GPT teacher head0.405
Teacher spread0.369 · 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

Citations12
Published2021
Admission routes1
Has abstractyes

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