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Record W2745412567 · doi:10.5004/dwt.2017.20930

Adsorptive removal of hazardous organic water pollutants by humic acid–carbon hybrid materials: kinetics and isotherm study

2017· article· en· W2745412567 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

VenueDesalination and Water Treatment · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality Monitoring and Analysis
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPollutantHumic acidHazardous wasteEnvironmental chemistryChemistryKineticsActivated carbonNatural organic matterWater treatmentEnvironmental scienceTotal organic carbonWaste managementAdsorptionEnvironmental engineeringOrganic chemistry

Abstract

fetched live from OpenAlex

ABSTRACT The adsorption characteristics of phenol, 2,4,6-trichlorophenol (2,4,6-TCP) and atrazine onto humic acid–carbon hybrid materials were investigated under different experimental conditions (ionic strength, pH, adsorbent dose, agitation time and initial concentration). It was found that ionic strength has insignificant effect on the adsorption process which peaked at acidic pH. The kinetic data were fitted to Elovich equation and intra-particle diffusion models. Kinetics results showed that the adsorption can be represented by two steps: a rapid step dominating the first 5 min followed by a slower uptake to the final steady-state value. On the other hand, equilibrium data were examined by Freundlich and Langmuir equations. Langmuir was the best model fit for the adsorption of 2,4,6- TCP onto the studied materials, phenol adsorption on carbon-coated insolubilized humic acid and atrazine adsorption onto insolubilized humic acid and carbon-coated insolubilized humic acid. The study proved that humic acid–carbon hybrid material has higher adsorption capacity than the pure materials.

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 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 score0.006
Threshold uncertainty score0.388

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 head0.016
GPT teacher head0.253
Teacher spread0.237 · 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