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Record W2317850505 · doi:10.1021/sc3000652

Novel Biodegradable Films with Extraordinary Tensile Strength and Flexibility Provided by Nanoparticles

2012· article· en· W2317850505 on OpenAlexaff
Harpreet Kaur, Tarlok S. Banipal, Sourbh Thakur, Mandeep Singh Bakshi, Gurinder Kaur, Narpinder Singh

Bibliographic record

VenueACS Sustainable Chemistry & Engineering · 2012
Typearticle
Languageen
FieldMaterials Science
Topicbiodegradable polymer synthesis and properties
Canadian institutionsWilfrid Laurier UniversityCollege of the North Atlantic
Fundersnot available
KeywordsStarchMaterials scienceChemical engineeringNanoparticleUltimate tensile strengthDifferential scanning calorimetryTransmission electron microscopyCadmium sulfideNanotechnologyComposite materialChemistryOrganic chemistryMetallurgy

Abstract

fetched live from OpenAlex

High Resolution Image Download MS PowerPoint Slide A simple method has been proposed to synthesize environmental friendly biodegradable starch films containing gold (Au) and cadmium sulfide (CdS) nanoparticles (NPs) with significantly improved mechanical properties than pure starch films for various industrial applications. Au NPs were synthesized in vitro by using starch as a weak reducing agent simultaneously for the starch film formation. All reactions were monitored with UV–visible measurements, and it was observed that the growth of Au NPs was proportional to the amount of starch. Due to the inherent surface plasmon resonance (SPR), all Au NP starch films were UV active. Likewise, CdS NPs were synthesized in the glycerol medium and further incorporated in the starch films to make fluorescent active films. X-ray diffraction (XRD), transmission electron microscopy (TEM), atomic force microscopy (AFM), and differential scanning calorimetry (DSC) measurements were used to characterize NPs as well as starch films. A systematic measurement of mechanical properties showed a high degree of tensile strength and flexibility for CdS fluorescent starch films in comparison to Au NP starch films that made the former an ideal candidate for various industrial applications.

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 categoriesMeta-epidemiology (narrow)
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 score0.021
Threshold uncertainty score1.000

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 communication0.0000.001
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 head0.010
GPT teacher head0.196
Teacher spread0.186 · 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.

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

Citations34
Published2012
Admission routes1
Has abstractyes

Explore more

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