The Synthesis and Characterizes of Nano-Metallic Particles Against Antibiotic Resistant Bacteria, Isolated from Rasoul-e-Akram Hospital’s Patients, Tehran, Iran
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
<p class="1Body">The emergence of antimicrobial resistance of microorganisms to antibiotics, Also, an increase in nosocomial infections, particularly by <em>Methicillin Resistant Staphylococcus aureus </em>(<em>MRSA</em>), <em>Pseudomonas aeruginosa</em>, the need to discover new antibacterial agents with a mechanism of action different from killing bacteria were more than ever before. The Ag nanoparticles (NPs), ZnO (NPs) and Ag/ZnO (NPs) were synthesized through the thermal decomposition of the precursor of oxalate. Gram-negative antibiotic resistant bacteria and Gram-positive antibiotic resistant bacteria were prepared from the Central laboratory of Rasoul-e-Akram hospital. All of isolates were confirmed by biochemical tests. For determine of antibiotic resistance patterns of isolated, disk diffusion method in accordance with the standard CLSI were used, again. Antibacterial effects of (NPs) against antibiotic resistance bacteria were conducted by MIC and MBC tests. The particles size was less of 50 nm, approximately. Curiously, the silver (NPs) was not exposed the antibacterial properties against all of isolated bacteria. Also, <em>klebsiella pneumonia</em> and <em>MRSA</em> had greatest sensitivity to the ZnO (NPs). Also, Gram-positive antibiotic resistant bacteria showed high sensitivity to Ag/ZnO (NPs), compared to other bacteria. Interestingly, The MBC for ZnO (NPs) against <em>Pseudomonas aeruginosa </em>&gt;= 8192 was observed. The Ag (NPs) had not the ability to inhibit the nosocomial infection. <em>klebsiella pneumonia</em> and <em>MRSA</em> had greatest sensitivity to the ZnO (NPs). Also, Gram-positive antibiotic-resistant bacteria showed high sensitivity to Ag/ZnO (NPs), compared to other bacteria. The Ag/ZnO (NPs) was ability to kill antibiotics resistant bacteria. The antibacterial agents can open a new leaf in our life in the treatment of nosocomial infections.</p>
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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