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Record W4409662771 · doi:10.1016/j.jobab.2025.04.001

Anion exchangers prepared from graft polymerisation of microfibrillated cellulose using the reactive ionic liquid

2025· article· en· W4409662771 on OpenAlexvenueno aff
Muzamil Jalil Ahmed, Baohu Wu, Antoni Sánchez‐Ferrer

Bibliographic record

VenueJournal of Bioresources and Bioproducts · 2025
Typearticle
Languageen
FieldMaterials Science
TopicAdvanced Cellulose Research Studies
Canadian institutionsnot available
FundersTechnische Universität MünchenDeutscher Akademischer Austauschdienst
KeywordsIonic liquidCelluloseAnion exchangerPolymerizationChemistryPolymer chemistryIonIon exchangeChemical engineeringMaterials scienceOrganic chemistryPolymerCatalysis

Abstract

fetched live from OpenAlex

Microfibrillated cellulose (MFC) was functionalised using a reactive ionic liquid monomer, i.e. , glycidyltriethylammonium chloride (GTEAC), via chain-growth polymerisation, resulting in a novel cationic polyelectrolyte-grafted quaternised MFC (QMFC). The degree of quaternisation and maximum ion exchange capacity of the resulting QMFC were 2.13 mmol/g ( i.e. , 132 mg/g) and 1.51 mmol/g ( i.e. , 94 mg/g), respectively. Small-angle X-ray scattering (SAXS) and wide-angle X-ray scattering (WAXS) experiments confirmed the retention of monoclinic crystalline structure for cellulose I with the corresponding decrease in the degree of crystallinity from 85% to 56% and the increase in the spacing between cellulose crystallites by 35%. The presence of the amorphous and grafted polymers was confirmed by microscopy, thermal analysis, and water sorption experiments. QMFC filter cartridges were prepared and tested under dynamic flow conditions with a pressure of 0.2 MPa (retention time of 0.5 min). These cationic polyelectrolytes enhanced multi-site ion exchange interactions as evidenced by the Freundlich sorption isotherm. The QMFC filter cartridges demonstrated high anion removal efficiency values of 83.2%, 98.1%, and 94.9% for NO₃⁻, SO₄²⁻, and PO₄³⁻, respectively. This system achieved a process mass efficiency of 2.79, an E -factor of 1.97, and an energy efficiency score of 66.3, which conforms to the green chemistry principles and demonstrates high potential for sustainable water purification.

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)0.001
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 score0.020
Threshold uncertainty score0.304

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.279
Teacher spread0.262 · 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
Published2025
Admission routes1
Has abstractyes

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