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Record W3163541723 · doi:10.18280/acsm.450202

The Elimination by Natural Algerian Clay of Chromium Ions from Salt Water

2021· article· en· W3163541723 on OpenAlexvenueno aff
Rachid Chebbi, Fadel Amar, Amel Aidi

Bibliographic record

VenueAnnales de Chimie Science des Matériaux · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicAdsorption and biosorption for pollutant removal
Canadian institutionsnot available
Fundersnot available
KeywordsBentoniteAdsorptionFreundlich equationChromiumLangmuirChemistryMetal ions in aqueous solutionBrackish waterLangmuir adsorption modelMetalClay mineralsFourier transform infrared spectroscopyNuclear chemistrySalt (chemistry)MineralogyChemical engineeringGeologySalinityGeotechnical engineering

Abstract

fetched live from OpenAlex

This paper studies the removal of chromium ions from synthetic brackish water by an adsorption method using natural Algerian Bentonite (NAB), the mineral clay was characterized through FTIR, XRD and SEM/EDS analysis. The effect of the main physicochemical parameters; namely: clay dosage, initial metal ion concentration, pH, and contact time on the removal of Cr+3 was investigated. The results showed that equilibrium was attained within 5 minutes of stirring time. The retention capacity of Cr+3 increased with the increase of adsorbent dose and decreased with the increased initial metal ion concentration. The Langmuir and Freundlich isotherm models were applied to determine the efficiency of bentonite used as an adsorbent. According to the obtained results, the Langmuir model adjusts very well to the experimental data. Based on the kinetic studies for the raw bentonite, it was verified that the mechanism corresponds to predominant pseudo-second- order adsorption.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

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 head0.009
GPT teacher head0.234
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

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

Citations3
Published2021
Admission routes1
Has abstractyes

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