MétaCan
Menu
Back to cohort
Record W3213141621 · doi:10.2147/ijn.s325996

Multifarious Biological Applications and Toxic Hg2+ Sensing Potentiality of Biogenic Silver Nanoparticles Based on Securidaca inappendiculata Hassk Stem Extract

2021· article· en· W3213141621 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Nanomedicine · 2021
Typearticle
Languageen
FieldMaterials Science
TopicNanoparticles: synthesis and applications
Canadian institutionsUniversity of Manitoba
FundersPrince of Songkla University
KeywordsZeta potentialSilver nanoparticleBiocompatibilityNanoparticleDetection limitDynamic light scatteringMaterials scienceNanoprobeChemistryNanotechnologyFourier transform infrared spectroscopyNuclear chemistryChromatographyChemical engineeringOrganic chemistry

Abstract

fetched live from OpenAlex

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

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.374

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.027
GPT teacher head0.285
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it