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Record W2625666409 · doi:10.1021/acs.est.7b00327

Analyses of Levofloxacin Adsorption on Pretreated Barley Straw with Respect to Temperature: Kinetics, π–π Electron-Donor–Acceptor Interaction and Site Energy Distribution

2017· article· en· W2625666409 on OpenAlexafffund
Bei Yan, Catherine Hui Niu, Jian Wang

Bibliographic record

VenueEnvironmental Science & Technology · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicAdsorption and biosorption for pollutant removal
Canadian institutionsCanadian Light Source (Canada)University of Saskatchewan
FundersNatural Sciences and Engineering Research Council of CanadaChina Scholarship CouncilCanada Foundation for InnovationMinistry of Agriculture - Saskatchewan
KeywordsAdsorptionKineticsStrawChemistryElectron acceptorAcceptorDistribution (mathematics)Rice strawInorganic chemistryPhotochemistryPhysical chemistryMathematicsPhysics

Abstract

fetched live from OpenAlex

Levofloxacin, representative of an important class of fluoroquinolone antibiotics, has been considered to be one of the emerging pollutants in various water sources. In this paper, adsorption of levofloxacin from artificial contaminated water was done by pretreated barley straw adsorbent obtained from raw barley straw after modification by H 3 PO 4 impregnation and microwave heating. The adsorption kinetics was investigated at various temperatures and levofloxacin concentrations, and the activation energy was determined. In addition, site energy distribution of the pretreated barley straw for levofloxacin adsorption was estimated based on the equilibrium adsorption data. The average site energy and standard deviation of the distribution were determined and applied to analyze the interaction strength between the adsorbent and adsorbate, and adsorption site heterogeneity. The π–π electron-donor–acceptor interactions between the π* aromatic C═C of pretreated barley straw adsorbent and π* carbon atom in benzene ring attached to fluorine of levofloxacin was investigated by C K -edge X-ray absorption near-edge structure spectroscopy. The results and methodologies in this work could be transferrable to investigate extended systems of water treatment.

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 score0.164
Threshold uncertainty score0.762

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 studies0.0000.002
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 head0.009
GPT teacher head0.259
Teacher spread0.249 · 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

Citations89
Published2017
Admission routes2
Has abstractyes

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Same venueEnvironmental Science & TechnologySame topicAdsorption and biosorption for pollutant removalFrench-language works237,207