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Removal of Crystal Violet and Acid Red 1 Dyes from Wastewater by Mechanically Activated Talc

2023· article· en· W4390171756 on OpenAlexaff
Sofia Afifi, Abdel-Khalek Mm, Farida El-Dars

Bibliographic record

VenueInternational Journal of Materials Technology and Innovation · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality Monitoring and Analysis
Canadian institutionsCanadian MPS Society for Mucopolysaccharide and Related Diseases
Fundersnot available
KeywordsTalcCrystal violetWastewaterChemistryPulp and paper industryActivated sludgeNuclear chemistryMaterials scienceWaste managementMicrobiologyComposite materialBiologyEngineering

Abstract

fetched live from OpenAlex

Raw talc (RT) and mechanically activated talc (MAT) were prepared and used as adsorbents in the removal of Crystal Violet (CV) and Acid Red 1 (AR1) from aqueous solutions. The effect of pH, dye concentration, conditioning time, and temperature on the removal efficiency of acid and basic dyes by RT and MAT samples was investigated. The results showed that the maximum adsorption capacities for CV and AR1 by MAT were 160 mg/g and 130 mg/g, respectively, which is 2-3 times that of RT. The experimental data indicated that the adsorption of both dyes by RT followed the Temkin isotherm, while MAT followed the Freundlich isotherm. The data also suggested that the adsorption behavior of CV and AR1 on MAT and RT followed a pseudo-second-order process, with intra-particle diffusion being the rate-limiting step for the adsorption kinetics of AR1 dye onto RT. The increase in the adsorption performance of MAT was attributed to the high pore volume and the presence of multi-charged sites caused by the rupture of chemical bonds through intensive material grinding. The change in the physical properties of (RT) and (MAT) were also investigated using XRD analysis, FTIR, zeta potential, particle size, and Brunauer–Emmet–Teller (BET) analysis. The results have shown that the energy released during the intensive grinding caused significant crystal dislocation in raw talc, along with a noticeable shift in its isoelectric point (IEP), an increase in surface area, and a decrease in pore size. These findings support the experimental results.

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 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 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 score0.011
Threshold uncertainty score0.238

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)0.0000.000

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 head0.012
GPT teacher head0.255
Teacher spread0.243 · 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 teacher head, 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

Citations3
Published2023
Admission routes1
Has abstractyes

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