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Record W3157954360 · doi:10.52716/jprs.v8i2.245

Synthesis and Characterization of Date Palm Fiber-Based Bio-Char and Activated Carbon and its Utilization for Environmental Remediation

2021· article· en· W3157954360 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

VenueJournal of Petroleum Research and Studies · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicNatural Products and Applications
Canadian institutionsWestern University
Fundersnot available
KeywordsBiocharActivated carbonPyrolysisSorptionChemical engineeringCarbonizationAdsorptionPalm kernelSpecific surface areaCharEnvironmental remediationBET theoryPorosityVolume (thermodynamics)ChemistryHydrothermal carbonizationCarbon fibersMaterials scienceOrganic chemistryComposite materialPalm oilComposite numberContamination

Abstract

fetched live from OpenAlex

Natural agricultural products have the potential to be a substitute for synthetic polymers absorbentsin environmental remediation and spill cleanup and recovery. One of these natural by-productswhich is available in many regions of the world is Date Palm Fibers (DPF). DPF (also known assurface fibers) is a natural sorbent that exhibits good sorption characteristics. In an attempt tovalorize this abundant, low cost byproduct, we have investigated the micro porosity of this rawmaterial by carrying out two procedures. First, hydrothermal pyrolysis using a scalable reactor withonly water as solvent at high temperature (480 °C) under dry nitrogen atmosphere. Biochar yield wasfound varying from 30.5 to 33.6% (32%), with little bio-oil.Then the resultant biochar was physically activated with KOH and the mixture heated to 750oC(0.5oC/min) and kept at 750°C for 2 hours under Argon flow in a tubular furnace to produceactivated carbon. Second, the resulting biochar and activated carbons were then characterized byParticle Analyzer to measure their surface area, pore volume and pore diameter.For biochar, surface area : 1.1374 m²/g, pore volume 0.001883 cm³/g, pore diameter 1355.874 Å andfor activated biochar (activated carbon), surface area : 1220.2755 m²/g, pore volume: 0.062068cm³/g, pore diameter: 19.0116 Å were determined by particle characterization analyzer. ScanningElectron Microscopy (SEM), and X-ray Diffraction (XRD) was also used for other analysis .The oil sorption behavior of the raw DPF, biochar and activated biochar were examined with motoroil. The Oil Sorption Capacity (OSC) of raw DPF, biochar and activated biochar were tested with theoil as oil alone and an oil over water surface and the value calculated gravimetrically. The maximumOSC values of the sorbents were in the order of: DPF<biochar< activated Biochar with OSC valuesof 8.952, 11.712 and 33.402 g*oil/g*sorbent, respectively at a sorption time of 30 min. That indicatethe OSC of the sorbents above are proportional with its surface areas.The sorbent materials can be utilized in oil spill remediation as well as waste water treatment forremoval of hydrocarbons pollutants from water. In addition biochar can be used as a soil amendmentfor enhancing soil fertility

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)0.000
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 score0.303
Threshold uncertainty score0.135

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 head0.105
GPT teacher head0.323
Teacher spread0.219 · 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