Evidence map›Paper›PMID 39914804›Full record

ArticleNano letters2025

Comparative Kinetics of Supported Lipid Bilayer Formation on Silica Coated Vertically Oriented Highly Curved Nanowires and Planar Silica Surfaces.

Julia Valderas-Gutiérrez, Rubina Davtyan, Christelle N Prinz, Emma Sparr, Peter Jönsson, Heiner Linke, Fredrik Höök

Abstract read
In one paragraph

Article in Nano letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Julia Valderas-GutiérrezNanoLund, Lund University, P.O. Box 118, SE-22100 Lund, Sweden.ORCID 0000-0003-2563-8441
Rubina DavtyanNanoLund, Lund University, P.O. Box 118, SE-22100 Lund, Sweden.ORCID 0000-0003-2750-4121
Christelle N PrinzNanoLund, Lund University, P.O. Box 118, SE-22100 Lund, Sweden.ORCID 0000-0002-1726-3275
Emma SparrPhysical Chemistry, Lund University, P.O. Box 124, SE-22100 Lund, Sweden.ORCID 0000-0001-8343-9657
Peter JönssonPhysical Chemistry, Lund University, P.O. Box 124, SE-22100 Lund, Sweden.ORCID 0000-0003-2994-8017
Heiner LinkeNanoLund, Lund University, P.O. Box 118, SE-22100 Lund, Sweden.ORCID 0000-0003-4451-4006
Fredrik HöökNanoLund, Lund University, P.O. Box 118, SE-22100 Lund, Sweden.ORCID 0000-0003-1994-5015

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Supported lipid bilayers (SLBs), formed via lipid vesicle adsorption on highly curved silica surfaces, are widely used in biosensor applications and as models for curved cell membranes. However, SLB formation is often hindered on convex structures with radii comparable to the vesicles. In this study, lightguiding semiconductor nanowires (NWs), engineered for fluorescence signal enhancement, were used to compare the kinetics of SLB formation on vertically oriented NWs and planar silica surfaces. Time resolved fluorescence microscopy with single-molecule sensitivity revealed that while vesicle adsorption rates were similar on both surfaces lateral expansion of the SLB was up to three times faster on NWs than on the planar control. This accelerated expansion is attributed to lower energy penalties when SLBs spread along the cylindrical NWs compared with a planar surface, accompanied by accelerated SLB expansion driven by the merging of the SLB with excess lipids from vesicles accumulated on the NWs.

Indexed as

epifluorescence microscopylightguidingsemiconductor nanowiressignal enhancementsupported lipid bilayer

Identifiers

PMID39914804
PMCPMC11869362

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.