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Record W4400699779 · doi:10.53555/sfs.v10i1.2879

Synthesis, Characterizations, Antioxidant and Antibacterial Applications of Silver-incorporated Pectin-based Nanogel

2023· article· en· W4400699779 on OpenAlexvenueno aff
Deepak Ram, Rohini Dharela

Bibliographic record

VenueJournal of Survey in Fisheries Sciences · 2023
Typearticle
Languageen
FieldMaterials Science
TopicAdvanced Nanomaterials in Catalysis
Canadian institutionsnot available
Fundersnot available
KeywordsNanogelPectinAntioxidantAntibacterial peptideMaterials scienceChemistryNanotechnologyAntibacterial activityDrug deliveryFood scienceOrganic chemistryBacteriaBiology

Abstract

fetched live from OpenAlex

A multipart approach was used to prepare composites of pectin-grafted-acrylamide (AgPAm) copolymer nanogel (Ngl) with silver incorporation. The characterization of the synthesized nanogel was subjected to studies, including FT-IR, XRD, and DSC analyses, as well as a swelling study to get evidence for successful synthesis and determine the end uses. The XRD evaluation showed a prominent peak for silver metal, emphasizing the successful synthesis. The FTIR analysis confirmed the crosslinking in the nanogel, while DSC was used to measure the changes in physical properties along with time over temperature. The silver-incorporated nanogel was thereafter subjected to antimicrobial studies. Antibacterial analyses carried out against two different bacteria, i.e., gram negative and gram positive, showed a desirable inhibition zone of silver-incorporated nanogel, with a positive control (azithromycin, a known antibiotic) observed in this bacterial activity. The antioxidant assay showed that AgPAm inhibited free radical formation by up to 82%.

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)0.005
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.275
Threshold uncertainty score0.521

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.083
GPT teacher head0.280
Teacher spread0.197 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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