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Record W2303542952 · doi:10.1039/c6an00350h

Tip-enhanced Raman spectroscopy: plasmid-free vs. plasmid-embedded DNA

2016· article· en· W2303542952 on OpenAlexafffund
Farshid Pashaee, Mohammadali Tabatabaei, Fabiana A. Caetano, Stephen Ferguson, François Lagugné‐Labarthet

Bibliographic record

VenueThe Analyst · 2016
Typearticle
Languageen
FieldMaterials Science
TopicGold and Silver Nanoparticles Synthesis and Applications
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsRaman spectroscopyDNANucleic acidPlasmidNanoscopic scaleBiophysicsChemistryRNAMaterials scienceNanotechnologyOpticsBiologyBiochemistryPhysics

Abstract

fetched live from OpenAlex

Tip-enhanced Raman spectroscopy (TERS) provides greatly enhanced Raman signals along with ultra-high lateral spatial resolutions and has been demonstrated to be a technique of choice to study a variety of biochemical specimens such as DNA and RNA at the single chain level. However, the sensitivity of TERS to demonstrate the influence of the nanoscale environment on DNA properties has not been investigated. Herein, we used a gap-mode TERS as an ultra-sensitive label-free technique to investigate the influence of the local plasmid on the DNA properties of a β2-adrenergic receptor (β2AR). Remarkable lateral spatial resolutions down to 8 nm were also acquired for the collected Raman signals under ambient conditions. This approach offers not only a tool to examine the influence of the local nanoscale environment surrounding the DNA structure, but also the localization of the majority of nucleic acid base(s) present in selected regions on the DNA strand.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.010
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.002

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 head0.229
Teacher spread0.219 · 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; both teacher heads agree on what is shown here.

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

Citations33
Published2016
Admission routes2
Has abstractyes

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