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Record W4416925579 · doi:10.1186/s13065-025-01697-7

Synthesis and thermo-oxidative kinetic analysis of cellulose microfibers from palm leaves using ammonia fiber expansion

2025· article· en· W4416925579 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

VenueBMC Chemistry · 2025
Typearticle
Languageen
FieldMaterials Science
TopicAdvanced Cellulose Research Studies
Canadian institutionsCarbon Engineering (Canada)University of Calgary
Fundersnot available
KeywordsHemicelluloseCelluloseRaw materialMicrofiberBiomass (ecology)LigninAmmoniaFiber

Abstract

fetched live from OpenAlex

Global urbanization is driving high volumes of agricultural and food waste, creating an urgent need for sustainable and effective technologies to convert biomass into valuable products. This study explores the conversion of palm waste into cellulose microfibers (CMF) using Ammonia Fiber Expansion (AFEX) followed by acid hydrolysis, with a focus on structural characterization, thermal stability, and reaction kinetics compared to raw material. The resulting CMF exhibited elongated, uniform fibers with smooth surfaces, with lengths of 0.1–3.0 mm, and diameters of 5–20 μm. X-ray analysis revealed a significant increase in the carbon/oxygen ratio, from 1.8 ± 0.2 in raw palm leaves to 2.7 ± 0.3 in CMF, indicating enhanced carbon content due to dehydration and reduction of carbonyl groups. FTIR spectra confirmed effective removal of lignin and hemicellulose after treatment, further supporting this chemical transformation. Thermal analysis demonstrated that CMF possesses higher heat content than raw leaves, suggesting its potential for energy-related applications. TGA showed that CMF decomposes at slightly higher temperatures, indicating improved thermal stability. Isoconversional kinetic analysis using the Vyazovkin Nonlinear (NLN) and Kissinger-Akahira-Sunose (KAS) methods revealed variable effective activation energies ( E α ), consistent with a complex degradation mechanism. Overall, CMF displayed lower E α values than raw biomass, especially at early and mid-reaction stages. Kinetic modeling at 50% conversion showed a markedly higher pre-exponential factor (A α ) for raw leaves (2.8 × 10¹³ s⁻¹) compared to CMF (7.4 × 10⁹ s⁻¹), reflecting structural alterations from treatment. Both raw and CMF samples exhibited negative activation entropy (Δ S ≠ ) values of − 237.7 and − 240.3 J mol⁻¹ K⁻¹, respectively, suggesting greater molecular order in activated complexes. The enthalpy of activation (Δ H ≠ ) was 149.7 ± 3.9 kJ mol⁻¹ for raw leaves versus 120.4 ± 3.9 kJ mol⁻¹ for CMF, Gibbs free energy of activation (ΔG ≠ ) was slightly higher for raw leaves (297.0 ± 3.9 kJ mol⁻¹) compared to CMF (269.4 ± 3.9 kJ mol⁻¹), primarily due to differences in Δ H ≠ . These kinetic parameters are crucial for any future implementation of palm leaves conversion into CMF at the industrial scale.

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 score0.012
Threshold uncertainty score0.712

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)0.0010.000

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 head0.020
GPT teacher head0.287
Teacher spread0.267 · 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