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Record W4411146527 · doi:10.6000/1929-5995.2025.14.04

Comprehensive Characterization of Raw and Oxalic Acid Treated Ripen Cellulosic Biofiber from Areca Catechu Inflorescence as Substitute for Harmful Synthetic Products

2025· article· en· W4411146527 on OpenAlexvenueno aff
Srinivas Arabilachi, Sreenivasa Challakere Govindappa, Joseph Selvi Binoj

Bibliographic record

VenueJournal of Research Updates in Polymer Science · 2025
Typearticle
Languageen
FieldMaterials Science
TopicNatural Fiber Reinforced Composites
Canadian institutionsnot available
Fundersnot available
KeywordsArecaCatechuInflorescenceMaterials scienceCellulosic ethanolOxalic acidRaw materialOrganic chemistryBotanyCelluloseChemistryBiologyEngineering

Abstract

fetched live from OpenAlex

The inherent characteristics of natural fibers include a low density and a high strength-to-weight ratio, making them promising candidates for lightweight applications. The mechanical features of these strands are prejudiced by their chemical compositions and the cross-sectional area being the most variable factor affecting strength. In this research, strands were obtained by processing the ripen inflorescence of Areca tree and subjected to treatment with an oxalic acid (C2H2O4) solution to enhance their properties. The extracted fibers underwent examination for chemical, physical, mechanical, and morphological properties. The study findings indicate that fibers treated with a 4 wt.% C2H2O4 solution for 60 min exhibit superior properties. The strands segregated from the ripen inflorescence of areca tree treated with 4 wt.% C2H2O4 solution for 60 min exhibited a rise in cellulose proportion by 26.7%, tensile strength by 13.5%, crystallinity index by 16.6%, thermal endurance by 6.3% and appreciable surface roughness compared to the untreated fibers as viewed through Scanning Electron Microscope (SEM). The Fourier Transform Infrared (FTIR) analysis endorsed the observations of chemical analysis. The characterization of areca inflorescence fibers in this study highlights significant advantages for the advancement of composite materials.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.004
Threshold uncertainty score0.651

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.002
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.026
GPT teacher head0.336
Teacher spread0.310 · 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

Explore more

Same venueJournal of Research Updates in Polymer ScienceSame topicNatural Fiber Reinforced CompositesFrench-language works237,207