Novel Biodegradable Films with Extraordinary Tensile Strength and Flexibility Provided by Nanoparticles
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".