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Record W2323997465 · doi:10.1166/jnn.2011.3676

Fabrication of Nano-Structured SPR Chip for Sensitivity Enhancement

2011· article· en· W2323997465 on OpenAlexfundno aff
Hyo-Sop Kim, Jinho Kim, Young A Song, Sung-Wook Choi, Yong-Jin Cho

Bibliographic record

VenueJournal of Nanoscience and Nanotechnology · 2011
Typearticle
Languageen
FieldPhysics and Astronomy
TopicForce Microscopy Techniques and Applications
Canadian institutionsnot available
FundersUniversidad de Especialidades Espíritu SantoKorea Food Research InstituteMcMaster University
KeywordsMaterials scienceFabricationSurface plasmon resonanceSubstrate (aquarium)NanotechnologyPyramid (geometry)Nano-MonolayerNanoparticleOptoelectronicsOpticsComposite material

Abstract

fetched live from OpenAlex

We used the Langmuir-Blodgett (LB) method for preparation of large area, defect-free monolayer silica particle film as a template for the fabrication of nano-structure Au pattern on a conventional Au substrate for Surface Plasmon Resonance (SPR). Well organized, trigonal pyramid shaped Au nano-structures were able to construct on 34 separate chips in one fabrication process. The dimensions of trigonal pyramid nano-structures were precisely controlled by changing the particle size of the silica LB template. The nano-structure Au patterned SPR chips provides the enhancement of sensitivity in SPR analysis. The sensitivity enhancement of nano-structure patterned chips was evaluated by comparison with conventional flat Au chips. The nano-structure patterned substrate demonstrated a sensitivity enhancement up to 120% compared to a conventional SPR chip when ethanol solution was used as an analyte.

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 score0.229
Threshold uncertainty score0.239

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 science0.0000.000
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 head0.016
GPT teacher head0.267
Teacher spread0.252 · 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

Citations4
Published2011
Admission routes1
Has abstractyes

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