2015
DOI: 10.1039/c5nr04352b
|View full text |Cite
|
Sign up to set email alerts
|

A diffusive ink transport model for lipid dip-pen nanolithography

Abstract: Despite diverse applications, phospholipid membrane stacks generated by dip-pen nanolithography (DPN) still lack a thorough and systematic characterization that elucidates the whole ink transport process from writing to surface spreading, with the aim of better controlling the resulting feature size and resolution. We report a quantitative analysis and modeling of the dependence of lipid DPN features (area, height and volume) on dwell time and relative humidity. The ink flow rate increases with humidity in agr… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

2
40
0

Year Published

2016
2016
2021
2021

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 30 publications
(42 citation statements)
references
References 78 publications
(313 reference statements)
2
40
0
Order By: Relevance
“…In the DPN of phospholipids, also known as lipid‐DPN (L‐DPN), amphiphilic lipid molecules are written and self‐assemble into ordered stacks of membranes . By virtue of the layered self‐assembly of the molecules which also includes surface diffusion in the process, yet a more liquid ink like bulk transition of material at the same time, this ink combines aspects of both ink regimes discussed above …”
Section: Ink Transport Models Of Dpnmentioning
confidence: 99%
“…In the DPN of phospholipids, also known as lipid‐DPN (L‐DPN), amphiphilic lipid molecules are written and self‐assemble into ordered stacks of membranes . By virtue of the layered self‐assembly of the molecules which also includes surface diffusion in the process, yet a more liquid ink like bulk transition of material at the same time, this ink combines aspects of both ink regimes discussed above …”
Section: Ink Transport Models Of Dpnmentioning
confidence: 99%
“…In the present approach, the pores of the HEMA-EDMA support act as a mesh that contains lipid ink in a confined space, providing high pattern definition, and presenting more binding sites than would be available on a flat substrate [10]. The main phospholipid component in our ink mixture is 1,2-dioleoyl- sn -glycero-3-phosphocholine (DOPC, T m = −16.5 °C) which allowed for the control of ink fluidity under humidity controlled conditions [1112]. Using quill-like pens (SPTs, short for surface patterning tool [13]) for lipid ink deposition permitted the reduction of the volume of phospholipids needed for array generation, as compared to other spotting techniques like ink jet printing, without decrease in the quality of the array or reduction of binding sites for analyte molecules.…”
Section: Introductionmentioning
confidence: 99%
“…Existing platforms for mast cell activation profiling based on dip‐pen nanolithography (DPN) with phospholipids (L‐DPN) have been shown to be effective tools for research on the mast cell activation process and its moderation by glucocorticosteroids . However, for cellular activation profiling to become a standard tool in biomedical research or in clinical settings, sample stability issues and the relative ease of use must be addressed.…”
Section: Introductionmentioning
confidence: 99%
“…[ 3 ] Furthermore, the study of allergic cellular responses on patterned surfaces can yield novel insights into the mechanism governing the activation process itself, and consequently improve the development of novel treatment options. [ 4,5 ] Existing platforms for mast cell activation profi ling based on dip-pen nanolithography (DPN) with phospholipids (L-DPN) [ 6,7 ] have been shown to be effective tools for research on the mast cell activation process and its moderation by glucocorticosteroids. [ 8,9 ] However, for cellular activation profi ling to become a standard tool in biomedical research or in clinical settings, sample stability issues and the relative ease of use must be addressed.…”
Section: Introductionmentioning
confidence: 99%