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Record W2129972644 · doi:10.1002/cjce.21814

Removal of Cu<sup>2+</sup> and Pb<sup>2+</sup> ions by <i>N</i>‐vinyl 2‐pyrrolidone/itaconic acid hydrogels from aqueous solutions

2013· article· en· W2129972644 on OpenAlexvenueno aff
Mümin Evren, İşıl Acar, Kubilay Güçlü, Gamze Güçlü

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicAdsorption and biosorption for pollutant removal
Canadian institutionsnot available
Fundersnot available
KeywordsItaconic acidAdsorptionFreundlich equationAqueous solutionSelf-healing hydrogelsChemistryMetal ions in aqueous solutionLangmuirPolymer chemistryLangmuir adsorption modelNuclear chemistryInorganic chemistryMetalOrganic chemistryCopolymerPolymer

Abstract

fetched live from OpenAlex

Abstract In this study, a series of crosslinked N‐vinyl‐2‐pyrrolidone–itaconic acid (NVP‐IA) hydrogels was prepared by free radical polymerisation in aqueous solution. Swelling, mechanical and adsorption properties for the removal of Cu2+ and Pb2+ ions from aqueous solutions of these hydrogels were investigated. Metal ion adsorption capacities of hydrogels for Cu2+ and Pb2+ ions were determined as 2.1 and 0.6 mmol g −1, respectively. Adsorption processes of metal ions onto the NVP‐IA hydrogels follow pseudo‐second‐order type adsorption kinetics. The equilibrium adsorption data have been evaluated using Freundlich and Langmuir isotherm models. The results illustrated that the adsorption follows Freundlich isotherm.

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 score0.000
Threshold uncertainty score0.002

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 head0.007
GPT teacher head0.171
Teacher spread0.164 · 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

Citations32
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueThe Canadian Journal of Chemical EngineeringSame topicAdsorption and biosorption for pollutant removalFrench-language works237,207