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Record W4225395210 · doi:10.1016/j.apsadv.2022.100245

Efficient removal of Deltamethrin (pyrethroid ester insecticide) from water using novel chemically activated carbon derived from the inner stem bark of C. Verum tree

2022· article· en· W4225395210 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueApplied Surface Science Advances · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicAdsorption and biosorption for pollutant removal
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAdsorptionActivated carbonEndothermic processChemistryEnthalpyLangmuir adsorption modelDeltamethrinNuclear chemistryPhysisorptionPyrolysisFourier transform infrared spectroscopyChemical engineeringOrganic chemistryPesticide

Abstract

fetched live from OpenAlex

Here, we report the adsorptive removal of Deltamethrin (DEL) from wastewater using activated carbon (AC) from the inner stem bark of the C. Verum tree. The raw material was chemically activated using H3PO4, with different impregnation ratios of 1:1, 2:1, and 3:1 (wt%) followed by pyrolysis at 700 °C. Adsorption experiments are carried out to study different effects on the removal of DEL by the prepared AC. The prepared AC has a high surface area between 1009 and 1954 m2/g, total pore volume between 0.47–1.22 mL/g, and a pore diameter around 2 nm. FTIR results revealed the presence of acidic and basic functional groups within the new adsorbent. Kinetic studies showed that adsorption data followed the pseudo-second-order model. Langmuir's model showed a maximum adsorption capacity of 89.3 mg/g at 40 °C. Changes in free energy (∆G°), enthalpy (∆H°), and entropy (∆S°) were also calculated. The thermodynamic characteristics demonstrated that DEL adsorption was a spontaneous endothermic process.

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.

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 score0.094
Threshold uncertainty score0.788

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.228
Teacher spread0.212 · 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