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Record W2927359324 · doi:10.11159/icnnfc19.2

Light-Dependent Biosynthesis of Silver Nanoparticles Mediated by Cell Extract of Neochloris oleoabundans: an Investigation on Mechanism

2019· article· en· W2927359324 on OpenAlexaffvenue
Cristopher Lan, Zeqing Bao

Bibliographic record

VenueProceedings of the World Congress on Recent Advances in Nanotechnology · 2019
Typearticle
Languageen
FieldMaterials Science
TopicNanoparticles: synthesis and applications
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsBiosynthesisMechanism (biology)NanoparticleSilver nanoparticleChemistryCell biologyMaterials scienceNanotechnologyBiologyBiochemistryPhysicsGene

Abstract

fetched live from OpenAlex

While biosynthesis of precious metal nanoparticles mediated by plants, bacteria, and fungi have been widely reported to be light-independent, it was demonstrated in my Lab that the synthesis of silver nanoparticles (AgNP) mediated by the cell extract of green alga Neochloris oleoabundans required light to take place. Chlorophylls were demonstrated to be an essential component mediating the reduction of Ag + and addition of extra chlorophyll would increase AgNP production. Rainbow tests revealed that exposure of reaction mixture to orange or red light could not lead to AgNP formation, although they are part of photosynthetic active radiance (PAR), indicating only photons of high energy levels among the PAR are capable of exciting the electrons of chlorophylls to a state that is sufficient for Ag + reduction. Furthermore, results of mass balance suggest that chlorophylls need to be recycled for the reaction to complete. The ultimate donors supplying electrons for chlorophyll recycle were hypothesized to be water molecules through water splitting, which can be catalyzed by photosynthetic enzyme complexes such as photosystem II that are readily available in cell extract of Neochloris oleoabudans.

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)0.000
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 score0.012
Threshold uncertainty score0.655

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.010
GPT teacher head0.234
Teacher spread0.224 · 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
Published2019
Admission routes2
Has abstractyes

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Same venueProceedings of the World Congress on Recent Advances in NanotechnologySame topicNanoparticles: synthesis and applicationsFrench-language works237,207