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EXTRACELLULAR AND INTRACELLULAR SYNTHESIS OF SILVER NANOPARTICLES

2016· article· en· W2526952261 on OpenAlexaff
Kirubanandan Shanmugam, Prasanna Subramanian

Bibliographic record

VenueAsian Journal of Pharmaceutical and Clinical Research · 2016
Typearticle
Languageen
FieldMaterials Science
TopicNanoparticles: synthesis and applications
Canadian institutionsDalhousie University
Fundersnot available
KeywordsSilver nanoparticleNanoparticleHeLaNuclear chemistryTransmission electron microscopyExtracellularAbsorbanceNanotechnologyMaterials scienceIntracellularChemistryCellBiochemistryChromatography

Abstract

fetched live from OpenAlex

<p>ABSTRACT<br />Objective: The cellular synthesis of nanoparticle is a green process and alternative for a conventional process for the preparation of silver nanoparticles.<br />In our research, focus has been given to the development of an efficient and eco-friendly viable process for the synthesis of silver nanoparticles using<br />cancer and non-cancerous cells, a cell culture that was isolated. The results of this investigation are observed that silver nanoparticles could be<br />induced to synthesis intra- and extra-cellularly using mammalian cells such as cancerous and non-cancerous cells.<br />Methods: The silver nanoparticles are synthesized by the cancer and non-cancerous cells such as HeLa (Homo sapiens, human), SiHa, and human<br />embryonic kidney-293 cell lines. The silver nanoparticles were characterized by ultraviolet (UV)-visible spectroscopy, transmission electron<br />microscopy (TEM), and X-ray powder diffraction (XRD).<br />Results: The silver nanoparticles exhibited maximum absorbance at 415 nm in UV-visible spectroscopy. The XRD confirms the characteristic of the<br />crystal lattice of silver nanoparticles by observing three peaks: Peak at 38 is due to reflection from (111), peak at 44 is due to reflection from (200),<br />and peak at 65 is due to reflection from (220). TEM images showed the formation of stable silver nanoparticles in the cell lines.<br />Conclusion: The method of extraction of intracellular/extracellular synthesis of silver nanoparticles was inexpensive, simple, and effective in large<br />scale with no need to use of complex process equipment. The cancer cell considered as a biological factory at nanoscale dimension which continued to<br />grow after synthesis of silver nanoparticles. The silver reduction by these cancer cells has occurred through energy-dependent processes that lead to<br />the high output of this reaction. Hence, this new approach of using a mammalian cell for the successful synthesis of nanosized silvers could be easily<br />scaled up, which establishes its commercial viability and also useful in the drug delivery and drug targeting.<br />Keywords: Silver nanoparticles, Cancer cells, Biosynthesis and characteristics of silver nanoparticles.</p><p> </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.

How this classification was reachedexpand

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)0.007
metaresearch head score (Gemma)0.003
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 score0.208
Threshold uncertainty score0.743

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.139
GPT teacher head0.449
Teacher spread0.310 · 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 teacher head, 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

Citations3
Published2016
Admission routes1
Has abstractyes

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