Multifarious Biological Applications and Toxic Hg2+ Sensing Potentiality of Biogenic Silver Nanoparticles Based on Securidaca inappendiculata Hassk Stem Extract
Bibliographic record
Abstract
Introduction: The use of environmentally benign resources for nanoparticles synthesis is consistently pushed to the front burner in a bid to ensure and enhance environmental protection and beneficiation. In this light, application of different plant parts for the reduction and stabilization of nanoparticles is gaining popularity. Materials and Methods: In this contribution, we have exploited Securidaca inappendiculata stem extract (SISE), as the reducing and stabilizing agent for room temperature synthesis of highly stable and dispersed AgNPs. The major bioactive compounds in SISE were profiled using an ultra-high-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry (UHPLC-MS-QTOF-MS). Results and Discussion: SISE could reduce silver salts to its nanoparticles almost instantaneously with a maximum absorption spectrum at 423 nm, under the optimal conditions. The fabricated SISE AgNPs was extensively characterized using FTIR, TEM, SEM, XRD, EDS, Zeta analysis/DLS and TGA/DTG analysis. SISE AgNPs with average particles size between 10– 15 nm and a zeta potential value of − 19.5 ± 1.8 mV was obtained. It was investigated for in-vitro biological applications by carrying out, antimicrobial, antioxidant, hemolytic, cytotoxicity and antidiabetic assays. It was found that SISE AgNPs exhibited potent antimicrobial capacity against some food borne microbes, good antioxidant property, while also demonstrating high biocompatibility. Moreover, with a view to extending further the applications SISE AgNPs, it was tested as a colorimetric nanoprobe for Hg 2+ detection in aqueous environment, where good linearity between 0.10 and 10.0 μM, with a detection limit of 26.5 nM, were obtained. The practicality of the probe was investigated by carrying out Hg 2+ detection in water sample, with good accuracy and precision. Discussion: Overall, this work introduced a new stabilizer for biocompatible AgNPs with far-reaching applications. Keywords: silver nanoparticles, Securidaca inappendiculata , biological applications, mercury (II) ion, colorimetric probe
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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".