ArticleLab on a chip2011
Atoms-to-microns model for small solute transport through sticky nanochannels.
Article in Lab on a chip, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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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.
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Who cites it
7 citing papers in PubMed.
- Rapid and Accurate Determination of Nanopore Ionic Current Using a Steric Exclusion Model.ACS sensors · 2019Article
- Thermoplastic nanofluidic devices for biomedical applications.Lab on a chip · 2017Review
- Article
- Structure and response to flow of the glycocalyx layer.Biophysical journal · 2014Article
- A Stabilized Finite Element Method for Modified Poisson-Nernst-Planck Equations to Determine Ion Flow Through a Nanopore.Communications in computational physics · 2014Article
- Modeling and simulation of ion channels.Chemical reviews · 2012Review
- Predicting the DNA sequence dependence of nanopore ion current using atomic-resolution Brownian dynamics.The journal of physical chemistry. C, Nanomaterials and interfaces · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Modeling the transport of solutes through fluidic systems that have adsorbing surfaces is challenging due to the range of length and time scales involved. The components of such systems typically have dimensions from hundreds of nanometres to microns, whereas adsorption of solutes is sensitive to the atomic-scale structure of the solutes and surfaces. Here, we describe an atomic-resolution Brownian dynamics method for modeling the transport of solutes through sticky nanofluidic channels. Our method can fully recreate the results of all-atom molecular dynamics simulations at a fraction of the computational cost of the latter, which makes simulations of micron-size channels at a millisecond time scale possible without losing information about the atomic-scale features of the system. We demonstrate the capability of our method by simulating the rise and fall of solute concentration in sub-micron-long sticky nanochannels, showing that the atomic-scale features of the channels' surfaces have a dramatic effect on the kinetics of solute transport in and out of the channels. We expect our method to find applications in design and optimization of micro and nanofluidic systems for solute-specific transport and to complement existing approaches to modeling lab-on-a-chip devices by providing atomic scale information at a low computational cost.
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Registered trials
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