Evidence map›Paper›PMID 35955941›Full record

ArticleInternational journal of molecular sciences2022

Theoretical Design of a Janus-Nanoparticle-Based Sandwich Assay for Nucleic Acids.

Takumi Sato, Keiko Esashika, Eiji Yamamoto, Toshiharu Saiki, Noriyoshi Arai

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Takumi SatoDepartment of Mechanical Engineering, Keio University, Kohoku-ku, Yokohama 223-8522, Japan.ORCID 0000-0002-2253-149X
Keiko EsashikaDepartment of Electrical and Information Engineering, Keio University, Kohoku-ku, Yokohama 223-8522, Japan.
Eiji YamamotoDepartment of System Design Engineering, Keio University, Kohoku-ku, Yokohama 223-8522, Japan.ORCID 0000-0002-8813-5297
Toshiharu SaikiDepartment of Electrical and Information Engineering, Keio University, Kohoku-ku, Yokohama 223-8522, Japan.
Noriyoshi AraiDepartment of Mechanical Engineering, Keio University, Kohoku-ku, Yokohama 223-8522, Japan.ORCID 0000-0002-5254-7329

Funding

Japan Society for the Promotion of Science 22J22743
6 · The paper itself

Abstract

Nanoparticles exhibit diverse self-assembly attributes and are expected to be applicable under unique settings. For instance, biomolecules can be sandwiched between dimer nanoparticles and detected by surface-enhanced Raman scattering. Controlling the gap between extremely close dimers and stably capturing the target molecule in the gap are crucial aspects of this strategy. Therefore, polymer-tethered nanoparticles (PTNPs), which show promise as high-performance materials that exhibit the attractive features of both NPs and polymers, were targeted in this study to achieve stable biomolecule sensing. Using coarse-grained molecular dynamics simulations, the dependence of the PTNP interactions on the length of the grafted polymer, graft density, and coverage ratio of a hydrophobic tether were examined. The results indicated that the smaller the tether length and graft density, the smaller was the distance between the PTNP surfaces (Rsurf). In contrast, Rsurf decreased as the coverage ratio of the hydrophobic surface (ϕ) increased. The sandwiching probability of the sensing target increased in proportion to the coverage ratio. At high ϕ values, the PTNPs aggregated into three or more particles, which hindered their sensing attributes. These results provide fundamental insight into the sensing applications of NPs and demonstrate the usefulness of PTNPs in sensing biomolecules.

Indexed as

NanoparticlesNucleic AcidsHydrophobic and Hydrophilic InteractionsMolecular Dynamics SimulationPolymersNucleic AcidsPolymersmolecular simulationnanoparticlenanosensorself-assemblysurface-enhanced Raman scattering

Identifiers

PMID35955941
PMCPMC9369376

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.