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Record W3143203392

Selective Oxidation of Primary Alcohol for Cellulose at C_6 Position and Its Application in Adsorption of Bisphenol A

2014· article· en· W3143203392 on OpenAlexaff
Jin Zi-we

Bibliographic record

VenueLinchan huaxue yu gongye · 2014
Typearticle
Languageen
FieldEngineering
TopicDyeing and Modifying Textile Fibers
Canadian institutionsScience North
Fundersnot available
KeywordsChemistryAdsorptionBisphenol AFreundlich equationCelluloseTitrationLangmuir adsorption modelLangmuirMonolayerAlcoholNuclear chemistryInorganic chemistryOrganic chemistry
DOInot available

Abstract

fetched live from OpenAlex

The oxidized cellulose(OC) was prepared by HNO3/H3PO4-NaNO2oxidation system.The structure of OC was characterized by FT-IR spectroscopy and solid-state13C NMR,and the carboxyl content was determined by acid-base titration method in present study.Meanwhile,the prepared OC was used as adsorbent and its adsorption properties for bisphenol A(BPA) were investigated.The results revealed that the C6 primary hydroxyl groups of cellulose were selectively oxidized to carboxyl groups by this oxidation system,and the carboxyl content was about 20%.The adsorption equilibrium time was about30 min at 298 K,and the maximum adsorption capacity(qm) of OC for BPA was 12.67 mg/g.The adsorption capacity increased with the increase of initial BPA concentration.Neutral condition and low temperature were benificial for adsorption,but the presence of electrolytes in the solution was negative for the adsorption of BPA.The adsorption of BPA on OC was considered as a monolayer adsorption and chemisorption process.The adsorption kinetics followed the second-order equation.Langmuir model fitted the equilibrium data better than the 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 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 score0.215
Threshold uncertainty score0.488

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 head0.011
GPT teacher head0.216
Teacher spread0.205 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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