Microwave-assisted synthesis and characterizations of nanosized copper ferrite and barium titanate for antimicrobial applications
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Science and technology of nanosized bimetallic oxide nanomaterials records the various properties and applications. Especially biomedical applications are viewed in particular due to its nanosized particle size. The present experimentation is reporting the microwave-assisted synthesis of nanosized bimetallic oxides like copper ferrite (CuFe2O4) and barium titanate (BaTiO3) by solid state combustion route using poly (vinyl alcohol) (PVA) as a fuel. The structural and morphological characterizations of the bimetallic oxide nanomaterials are performed out by X-ray diffraction (XRD) and scanning electron micrograph (SEM) tools respectively. These analyses report the crystalline nature of both samples. EDX spectral study is also undertaken to know the existence of different metals in the above-mentioned samples. Bonding nature of the bimetallic oxide samples were readied by Fourier transfer infrared (FT-IR) instrumentation. The study reviewed the varied vibrational modes confirms the phase formation of the samples. UV-Vis and thermal study of these bimetallic oxide samples are also studied extensively to know the thermal and absorption behavior respectively. TGA of both the samples are traced and are showing decomposition at rapid rate. In addition, the maximum absorption peaks due to π - π* transition confirms the sample formation. Antimicrobial activity of the prepared oxide samples was studied for antibacterial and antifungal behavior. Both samples showing considerable activity against various bacteria and fungi.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 it