ArticleJournal of molecular modeling2022
Drilling accurate nanopores for biosensors by energetic multi-wall carbon nanotubes: a molecular dynamics investigation.
Article in Journal of molecular modeling, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Drilling precise nanopores in thin layers is in rapid demand for biosensing applications. We demonstrate that an energetic multi-wall carbon nanotube (MWCNT) can be a good candidate to fabricate nanopores on graphene from molecular dynamics simulations with a bond-order potential. High-quality nanopores with expected size and smooth margins could be created by an incident nanotube at chosen size and energy. Besides, a nanotube is in advantage of absorbing and translocating many biological macromolecules due to its strong adsorption capacity. It implies a feasible way to drill nanopores and carry big molecules through the fabricated nanopores in one step for fast biosensing applications.
Indexed as
Identifiers
36074180What OpenQuestion holds
Registered trials
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.