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Record W2111912953 · doi:10.1109/iembs.2009.5333865

Size-dependent PCR inhibitory effect induced by gold nanoparticles

2009· article· en· W2111912953 on OpenAlexafffund
Weijie Wan, John T. W. Yeow, Michele I. Van Dyke

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMolecular Biology Techniques and Applications
Canadian institutionsUniversity of Waterloo
FundersUniversity of Waterloo
KeywordsColloidal goldBovine serum albuminNanoparticleChemistryParticle sizePolymeraseParticle (ecology)BiophysicsNanotechnologyMaterials scienceChromatographyBiochemistryEnzymeBiology

Abstract

fetched live from OpenAlex

In this work, the effect of gold nanoparticles (AuNPs) with diameters of around 5, 10 and 20 nm on PCR efficiency is evaluated respectively using a real-time PCR machine. Gold nanoparticles show no obvious effect on PCR at low particle concentration. When the concentration is increased, PCR inhibition is observed. At the same particle concentration, gold nanoparticles of different sizes show different inhibitory effects on PCR. It is found that Taq polymerase can interact with AuNPs. The interaction is probably due to the binding of polymerase to AuNPs therefore lowering the concentration of free polymerase. It is also found that bovine serum albumin can interact with gold nanoparticles. It is believed that BSA blocks the surface of AuNPs from forming biding sites for polymerase. It can be used as an additive to reverse the inhibitory effect caused by gold nanoparticles.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.005
GPT teacher head0.249
Teacher spread0.244 · 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

Citations13
Published2009
Admission routes2
Has abstractyes

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