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Record W2946766398

ADSORPTION OF REACTIVE DYE BY A NOVEL ACTIVATED CARBON PREPARED FROM THEVETIA PERUVIANA

2012· article· en· W2946766398 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Chemistry · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicAdsorption and biosorption for pollutant removal
Canadian institutionsnot available
Fundersnot available
KeywordsChemistryAdsorptionActivated carbonEndothermic processAqueous solutionLangmuir adsorption modelNuclear chemistryChromatographyOrganic chemistry
DOInot available

Abstract

fetched live from OpenAlex

This investigation was to evaluate the adsorption capability of activated carbon prepared from Thevetia Peruviana wood for removal of reactivetextile dye (RO4) from aqueous solution. Batch adsorption experiments were performed as a function of initial dye concentration, contact time,temperature and pH. The amount of dye adsorbed increased while increasing the initial concentration and temperature of the solution. Theexperimental data fitted well to Pseudo second order kinetic model with Intra particle diffusion as the rate determining step. Adsorption data fittedwith Langmuir model. The negative value of Gibb’s free energy (∆G°) indicated that the adsorption was spontaneous in nature. The results showedthat the activated carbon of Thevetia Peruviana was suitable for the removal of the reactive dyes from the aqueous solutions. The positive value ofenthalpy (∆H° ) indicated that the adsorption of the selected dyes were endothermic.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.007
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.008
GPT teacher head0.233
Teacher spread0.225 · 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