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Record W4406404142 · doi:10.1002/cjce.25595

Biochar produced from pressed palm fibre to removal β‐carotene from crude palm oil

2025· article· en· W4406404142 on OpenAlexvenueno aff
Bibiane Nardes Segala, Bruna Clarissa Steffens, Cristiano Augusto Ballus, Daniel Assumpção Bertuol, Eduardo Hiromitsu Tanabe

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2025
Typearticle
Languageen
FieldEngineering
TopicBiodiesel Production and Applications
Canadian institutionsnot available
FundersFundação de Amparo à Pesquisa do Estado do Rio Grande do SulConselho Nacional de Desenvolvimento Científico e TecnológicoCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsPalm oilPalmBiocharCarotenePulp and paper industryElaeis guineensisOil millChemistryFood scienceOrganic chemistryEngineeringPyrolysis

Abstract

fetched live from OpenAlex

Abstract Adsorbents produced from the reuse of pressed palm fibres, a residue derived from the palm oil extraction process, are an alternative to commercial adsorbents for the removal of β‐carotene from crude palm oil. Two adsorbents produced by the pyrolysis of pressed palm fibres were analyzed, where one was chemically activated with phosphoric acid and the other was not activated. Under the conditions studied, biochar activated with phosphoric acid presented an adsorption capacity of 2.99 mg g −1 and 86% β‐carotene removal. The results of kinetic tests indicated that the pseudo‐second order (PSO) model revealed the best fit to the experimental data. The isothermal curves suggested the Brunauer–Emmett–Teller (BET) model adjusted better for the isotherms of 30, 40, and 50°C, while the Freundlich model was the one that best described the isotherm of 60°C. Thermodynamic parameters indicated that the adsorption process was spontaneous, favourable, and endothermic. Furthermore, the activated biochar showed a significant reduction in phosphorus content, indicating an alternative to commercial adsorbents (bleaching earths) traditionally used in the crude palm oil refining process, while also aligning with the principles of the circular economy. Analyses were carried out to characterize the adsorbent material and quantify the oil quality parameters.

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 score0.040
Threshold uncertainty score0.575

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 head0.008
GPT teacher head0.186
Teacher spread0.179 · 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
Published2025
Admission routes1
Has abstractyes

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