Carboxymethyl Tamarind Kernel Gum Nanoparticles; As an Antioxidant Activity
Bibliographic record
Abstract
The incorporation of biopolymer nanoparticles with potential antioxidant properties into biomaterials for human health care is significant. The current study focuses on nanoparticles carboxymethyl tamarind kernel gum (CMTKG) composite materials because of their potential applications. The co-precipitation method was used to create carboxymethyl tamarind kernel gum nanoparticles (CMTKG-NPs). This technique was used for the first time to create carboxymethyl tamarind kernel gum nanoparticles. The strength of nanoparticle conformation is reported to be influenced by co-precipitation and stirring time. Nanoparticles were characterised using high-resolution transmission electron microscopy (HR-TEM), field emission scanning electron microscopy (FE-SEM), fourier transform infrared (FTIR), x-ray diffraction analysis (XRD), and thermo-gravimetric analysis (TGA). Suspense particle sizes have been determined to be in the 40-60 nm range. It was concluded that similar nanoparticles could be used in antioxidant activities.
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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) | 0.000 | 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".