Biosynthesis, Purification and Characterization of Cadmium Sulfide Nanoparticles Using Enterobacteriaceae and their Application
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
The area of nanotechnology encompasses the synthesis of nanoscale materials, the understanding and the utilization of their physicochemical and optoelectronic properties, and the organization of nanoscale structures into predefined superstructures. The development of biologically inspired experimental processes for the synthesis of nanoparticles is evolving into an important branch of nanotechnology. Nanotechnology has recently emerged as an elementary division of science and technology that investigates and regulates the interaction at cell level between synthetic and biological materials with the help of nanoparticles. A wide range clean, nontoxic and eco-friendly synthesis of nanoparticles is an important aspect of current nanotechnology. Microbial synthesis of nanoparticles is a Green chemistry approach that interconnects nanotechnology and microbial biotechnology. Microorganisms play an important role in the eco-friendly synthesis of metal nanoparticles. This study illustrates the synthesis of CdS nanoparticles using the bactetia of Enterobacteriaceae ( Escherichia coli PTCC 1533 and Klebsiella pneumonia PTCC 1053) after 96 h of incubation at room temperature (30ºc) and pH 9. The morphology of the samples was analyzed using Scanning electron microscopy(SEM). The size of CdS nanoparticles in aqueous solution has been calculated using UV–Vis spectroscopy, XRD, FTIR, EDS and SEM measurements. The nanoparticles are found to be polydisperse in the size range 5–200 nm. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/34903
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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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