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Record W2771685798 · doi:10.22606/afse.2017.14006

Effect of Pre-treatments in the Processing of Pineapple Leaf Fibers

2017· article· en· W2771685798 on OpenAlexaff
Malou Jean Rome, Tita Walter, P.C. Van Geyt Johan, Ashutosh Singh, Roque Roger Moya, Nair Gopu Raveendran

Bibliographic record

VenueAdvances in Food Science and Engineering · 2017
Typearticle
Languageen
FieldMaterials Science
TopicNatural Fiber Reinforced Composites
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsElongationUltimate tensile strengthAlkalinityAlkali metalMaterials scienceChemistryNuclear chemistryFiberAnimal scienceComposite materialBiologyOrganic chemistry

Abstract

fetched live from OpenAlex

Hot water and alkali treatments were performed on pineapple leaves at three different temperatures (50C, 70C and 90C) and three different levels of concentrations of NaOH solution (2, 4, and 6%). The effect of pre-treatment was analyzed by comparing the physical qualities of pineapple leaf fiber (PALF). A physical property analysis of the PALF extracted after two pretreatments was carried out by measuring tensile strength, percentage of elongation, color, and surface properties of PALF. The PALF pre-treated at 70C for 15 min showed maximum average tensile strength of 1206.3753.02 MPa and the lowest value of 353.1 41.51 MPa were recorded for PALF pre-treated at 90 C for 45 min. In alkali pre-treated PALF, the maximum tensile strength of 1137.2 28.01 MPa was recorded for pineapple leaves treated with 2% NaOH for 6h. In both hot water and alkali treated PALF, the percentage elongation was lower compared to the non-treated PALF. Hot water treated PALF recorded higher percentage of elongation than Alkali treated PALF. The tensile strength and percentage elongation in both treatments showed similar increase with respect to an increase in temperature and alkalinity. PALF treated with hot water showed more color change than Alkali treated PALF. The hot water treated PALF registered a maximum color change (E) of 23.692 (70 C -45 min) while the alkali treated PALF showed a maximum color change (E) of 19.721 (6%-2h). However, the latter showed better surface properties than hot water treated PALF.

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)0.001
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 score0.020
Threshold uncertainty score0.195

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.006
GPT teacher head0.273
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

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

Citations2
Published2017
Admission routes1
Has abstractyes

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