Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 474

The DOI matches its Crossref record.

Lipid Bilayer Formation by Contacting Monolayers in a Microfluidic Device for Membrane Protein Analysis

Funakoshi, Kei, Suzuki, Hiroaki, Takeuchi, Shoji·2006·Analytical Chemistry

Abstract

Artificial planar lipid bilayers are a powerful tool for the functional study of membrane proteins, yet they have not been widely used due to their low stability and reproducibility. This paper describes an accessible method to form a planar lipid bilayer, simply by contacting two monolayers assembled at the interface between water and organic solvent in a microfluidic chip. The membrane of an organic solvent containing phospholipids at the interface was confirmed to be a bilayer by the capacitance measurement and by measuring the ion channel signal from reconstituted antibiotic peptides. We present two different designs for bilayer formation. One equips two circular wells connected, in which the water/solvent/water interface was formed by simply injecting a water droplet into each well. Another equips the cross-shaped microfluidic channel. In the latter design, formation of the interface at the sectional area was controlled by external syringe pumps. Both methods are extremely simple and reproducible, especially in microdevices, and will lead to automation and multiple bilayer formation for the high-throughput screening of membrane transport in physiological and pharmaceutical studies.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/ac0613479

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 474

Metadata

Authors
Funakoshi, K., Suzuki, H., & Takeuchi, S.
Venue
Analytical Chemistry
Published
2006-11-10
Volume
78
Issue
24
Pages
8169-8174
ISSN
  • 0003-2700 (ISSN-L)
  • 1520-6882
OpenAlex
W2032062499
Cited by
474
References
0
FWCI
5.28
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Lipid Bilayer Formation by Contacting Monolayers in a Microfluidic Device for Membrane Protein Analysis. https://app.cochat.ai/papers/10.1021/ac0613479
The paper
Funakoshi, K., Suzuki, H., & Takeuchi, S. (2006). Lipid Bilayer Formation by Contacting Monolayers in a Microfluidic Device for Membrane Protein Analysis. Analytical Chemistry. https://doi.org/10.1021/ac0613479

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.