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Record W2028019096 · doi:10.1080/10934529.2010.513290

Surface modified activated carbon with β-cyclodextrin – Part I. Synthesis and characterization

2010· article· en· W2028019096 on OpenAlexafffund
Jae H. Kwon, Lee D. Wilson

Bibliographic record

VenueJournal of Environmental Science and Health Part A · 2010
Typearticle
Languageen
FieldChemistry
TopicAnalytical Chemistry and Chromatography
Canadian institutionsUniversity of Saskatchewan
FundersUniversity of Saskatchewan
KeywordsActivated carbonThermogravimetryChemistryTitrationDiffuse reflectance infrared fourier transformFourier transform infrared spectroscopySurface modificationPhenolAdsorptionNuclear chemistryInorganic chemistryOrganic chemistryChemical engineeringPhysical chemistryPhotocatalysis

Abstract

fetched live from OpenAlex

Surface functional groups produced from oxidation (carboxylic acid, lactone, quinine, phenol, and nitro groups), reduction (alcohol and amine groups), and grafting (imine and hemi-acetal) reactions were characterized (using surface analysis and chemical methods) and compared with unmodified activated carbon (AC) materials. The untreated, surface-modified, and grafted activated carbon materials were characterized by various surface sensitive methods: Diffuse Reflectance Infrared Fourier Transform Spectroscopy, Scanning Electron Microscopy, Raman spectroscopy, thermogravimetry analysis, and Matrix Assisted Laser Desorption Ionization Time of Flight (MALDI-TOF) mass spectrometry. A chemical method (Boehm titration) was used for estimating the amount of surface bound acidic and basic functional groups. Nitrogen porosimetry was used to analyze the surface area (95-1350 m²/g) and pore volume (0-0.31 cm³/g) characteristics of AC, surface modified AC, and AC materials grafted with β-cyclodextrin.

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 score0.102
Threshold uncertainty score0.297

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 studies0.0000.001
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 head0.014
GPT teacher head0.242
Teacher spread0.228 · 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

Citations7
Published2010
Admission routes2
Has abstractyes

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