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Record W2804060931 · doi:10.1155/2018/3849867

Sodium Dodecyl Sulfate‐Modified Fe<sub>2</sub>O<sub>3</sub>/Molecular Sieves for Removal of Rhodamine B Dyes

2018· article· en· W2804060931 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAdvances in Materials Science and Engineering · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicAdsorption and biosorption for pollutant removal
Canadian institutionsWestern University
Fundersnot available
KeywordsMaterials scienceMolecular sieveRhodamine BSodium dodecyl sulfateRhodamineSulfateSodiumPolyoxometalateNuclear chemistryAnalytical Chemistry (journal)Inorganic chemistryFluorescenceChromatographyOrganic chemistryCatalysisOpticsChemistryMetallurgy

Abstract

fetched live from OpenAlex

Studying the removal of rhodamine B (RB) dye by using zeolite 13X molecular sieves supported by Fe 2 O 3 nanoparticles (denoted as Fe 2 O 3 ‐13X) is the main objective of this study. Fe 2 O 3 ‐13X was synthesized and modified by the addition of sodium dodecyl sulfate (SDS). The prepared Fe 2 O 3 ‐13X was characterized by XRD, TEM, SEM, and zeta potential. The effects of the solution pH, SDS amount, contact time, initial dye concentration, and adsorbent dosage on the removal efficiency of RB were studied. A maximum removal efficiency of 99.3% was achieved. The adsorption equilibrium data of RB were fitted using the Freundlich model, yielding the maximum adsorption capacity of 89.3 mg/g. The findings revealed that the RB adsorption onto Fe 2 O 3 ‐13X modified with SDS (Fe2O3‐13X‐Ms) was described by a pseudo‐second‐order kinetic equation. The results reported in this paper indicate that a high RB removal percentage was attained by adding SDS to Fe 2 O 3 ‐13X.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.007
Threshold uncertainty score0.824

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.006
GPT teacher head0.223
Teacher spread0.216 · 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