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Record W1952271853 · doi:10.1002/cjce.22297

Adsorption behaviours of sulfonated humic acid at fly ash‐water interface: Investigation of equilibrium and kinetic characteristics

2015· article· en· W1952271853 on OpenAlexafffundvenue
Siqi Yang, Guohe Huang, Chunjiang An, Huiqin Li, Yarong Shi

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2015
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicCoal and Its By-products
Canadian institutionsUniversity of Regina
FundersProgram for Innovative Research Team of Ningbo Novel Photoelectric Materials and DevicesScience and Engineering Research CouncilSaskPowerNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsFly ashAdsorptionHumic acidChemistryEnvironmental remediationIonic strengthEndothermic processLangmuirLangmuir adsorption modelPollutantAqueous solutionEnvironmental chemistryChemical engineeringPulp and paper industryContaminationOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Sulfonated humic acid (SHA) has been widely used in oilfield production and it can significantly contribute to COD, BOD, sulphurated pollutants, and other toxic substances when discharged into the environment. There is an urgent need for effective and safe remediation of such toxic compounds from wastewater. This study investigated the adsorption characteristics of SHA onto coal fly ash. The removal percentage increased with fly ash dosages up to 1 and 6 g/L for Shand and BD fly ash, respectively, and it reached a constant level at a certain fly ash dosage. The Langmuir isotherm model could better fit equilibrium data for the adsorption of SHA on fly ash. Kinetic analysis showed that this process can be described well by a pseudo‐second‐order model. The adsorption of SHA on fly ash was improved by increasing temperature from 15 to 35 °C, and the thermodynamics results indicated that the adsorption was endothermic in nature. In addition, both ionic strength and pH had an influence on the adsorption performance. Fly ash showed the potential to be an effective adsorbent for the removal of SHA from an aqueous phase. The results can be used to reveal the migration patterns of organic contaminants at the fly ash surface.

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 score0.040
Threshold uncertainty score0.265

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 head0.017
GPT teacher head0.179
Teacher spread0.161 · 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

Citations9
Published2015
Admission routes3
Has abstractyes

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