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Record W3005912207 · doi:10.2147/ijn.s216386

<p>Synthesis of Silver Nanoparticle Employing Corn Cob Xylan as a Reducing Agent with Anti-<em>Trypanosoma cruzi</em> Activity</p>

2020· article· en· W3005912207 on OpenAlexaboutno aff
Talita Katiane de Brito Pinto, Rony Lucas Silva Viana, Cláudia Jassica Gonçalves Moreno, Jefferson da Silva Barbosa, Francimar Lopes de Sousa Júnior, Mayara Jane Campos de Medeiros, Raniere Fagundes Melo‐Silveira, Jailma Almeida‐Lima, Daniel de Lima Pontes, Marcelo Sousa Silva, Hugo Alexandre Oliveira Rocha

Bibliographic record

VenueInternational Journal of Nanomedicine · 2020
Typearticle
Languageen
FieldMedicine
TopicTrypanosoma species research and implications
Canadian institutionsnot available
FundersMinistério da Ciência, Tecnologia, Inovações e ComunicaçõesUniversidade Federal do Rio Grande do NorteConselho Nacional de Desenvolvimento Científico e TecnológicoCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsNuclear chemistryDynamic light scatteringSilver nanoparticleSpectroscopyRaman spectroscopyTrypanosoma cruziMaterials scienceMTT assayFourier transform infrared spectroscopyNanoparticleChemistryNanotechnologyChemical engineeringBiochemistry

Abstract

fetched live from OpenAlex

Background: Chagas disease, also known as American Trypanosomiasis, is caused by the protozoan Trypanosoma cruzi . It is occurring in Americas, including USA and Canada, and Europe and its current treatment involves the use of two drugs as follows: benznidazole (BNZ) and nifurtimox, which present high toxicity and low efficacy during the chronic phase of the disease, thus promoting the search for more effective therapeutic alternatives. Amongst them xylan, a bioactive polysaccharide, extracted from corn cob. Methods: Ultraviolet-visible spectroscopy, Fourier transform infrared spectroscopy (FITR), Raman spectroscopy, energy-dispersive X-ray spectroscopy (EDS), scanning electron microscopy, atomic force microscopy, plasma optical emission spectroscopy (ICP-OES), dynamic light scattering (DLS) have been used to characterize the silver-xylan nanoparticles (NX). Their cytotoxicity was evaluated with 3-bromo(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium (MTT) test. MTT and flow cytometry were used to ascertain the anti- Trypanosoma cruzi activity. Results: UV-Vis spectroscopy gave plasmon resonance ranging between 400 and 450 nm while FITC and Raman spectroscopy proved nano interface functionalized with xylan. ICP-OES data showed NX with xylan (81%) and silver (19%). EDS showed NX consisting of carbon (59.4%), oxygen (26.2%) and silver (4.8%) main elements. Spherical NX of 55 nm average size has been depicted with SEM and AFM, while DLS showed 102 ± 1.7 nm NX. The NX displayed negligible cytotoxicity (2000 μg/mL). NX (100 μg/mL) was more effective, regardless of experiment time, in affecting the ability of parasites to reduce MTT than BZN (100 μg/mL). In addition, NX (100 μg/mL) induced death of 95% of parasites by necrosis. Conclusion: This is the first time silver nanoparticles are presented as an anti- Trypanosoma cruzi agent and the data point to the potential application of NX to new preclinical studies in vitro and in vivo. Keywords: xylan, silver nanoparticles, Trypanosoma cruzi , benznidazole

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.001

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 head0.032
GPT teacher head0.304
Teacher spread0.273 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations40
Published2020
Admission routes1
Has abstractyes

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