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Fabrication and Characterization of Antibacterial and Biodegradable Facial Tissue Papers Using Bio-Based Raw Materials: Effect of Glycerin

2017· article· en· W2786858587 on OpenAlexvenueno aff
Khandaker Umaiya, A. M. Sarwaruddin Chowdhury, Ruhul A. Khan

Bibliographic record

VenueJournal of Research Updates in Polymer Science · 2017
Typearticle
Languageen
FieldMaterials Science
TopicNanocomposite Films for Food Packaging
Canadian institutionsnot available
Fundersnot available
KeywordsChitosanMaterials scienceFourier transform infrared spectroscopyUltimate tensile strengthElongationCelluloseChemical engineeringAntibacterial activityRaw materialNuclear chemistryComposite materialOrganic chemistryChemistryBacteria

Abstract

fetched live from OpenAlex

Antibacterial facial tissue papers were prepared by solution casting method with chitosan loaded bleached cellulosic pulp. Chitosan, in the film act as an antibacterial agent. Tissue paper films were fabricated by 50% cellulose and 50% chitosan (by weight, dry basis). Mechanical properties of the films were evaluated. It was found that tensile strength (TS) and elongation at break (EB) of the 50% chitosan contain films were 24 MPa and 10.8% respectively. To increase the plasticity of the tissue paper films glycerin was added 0.4 to 2% (by weight). It was found that with the incorporation of 1% glycerin in the tissue paper films the flexibility increased to 50%. Molecular interaction due to the chitosan addition was investigated by Fourier Transform Infra-Red (FTIR) spectroscopy. Water uptake property of glycerin contains films were also evaluated. In the soil medium, the degradation properties of the tissue paper films were carried out. The antibacterial property of the tissue paper was evaluated by disk diffusion method.

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)0.005
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 score0.029
Threshold uncertainty score0.745

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.357
Teacher spread0.331 · 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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