Frequency-dependent electrodeformation of giant phospholipid vesicles in AC electric field.

Journal of biological physics · 2010 · Unclear · Insufficient evidence

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UnclearInsufficient evidencePaper 3260

Study snapshot

PublicationJournal of biological physics · 2010

Study typeother

Reported directionUnclear

Evidence ratingInsufficient

Abstract

A model of vesicle electrodeformation is described which obtains a parametrized vesicle shape by minimizing the sum of the membrane bending energy and the energy due to the electric field. Both the vesicle membrane and the aqueous media inside and outside the vesicle are treated as leaky dielectrics, and the vesicle itself is modeled as a nearly spherical shape enclosed within a thin membrane. It is demonstrated (a) that the model achieves a good quantitative agreement with the experimentally determined prolate-to-oblate transition frequencies in the kilohertz range and (b) that the model can explain a phase diagram of shapes of giant phospholipid vesicles with respect to two parameters: the frequency of the applied alternating current electric field and the ratio of the electrical conductivities of the aqueous media inside and outside the vesicle, explored in a recent paper (S. Aranda et al., Biophys J 95:L19-L21, 2008). A possible use of the frequency-dependent shape transitions of phospholipid vesicles in conductometry of microliter samples is discussed.

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AI evidence extraction

Structured fields below were generated from the paper’s abstract and metadata to make the evidence easier to inspect. Automated extraction may be incomplete or incorrect; verify important details against the original paper.

Study typeother

Effect directionunclear

PopulationNot supplied

Sample sizeNot supplied

ExposureNot supplied

Evidence strengthInsufficientConfidence: 74% · Peer reviewed: yes

Main findings

The paper describes a model that minimizes membrane bending energy plus electric-field energy to predict vesicle shapes under an applied AC electric field. The model is reported to agree quantitatively with experimentally determined prolate-to-oblate transition frequencies in the kilohertz range and to explain a previously reported phase diagram of vesicle shapes as a function of field frequency and the conductivity ratio of inner vs outer media.

Outcomes measured

Vesicle electrodeformation (shape changes)
Prolate-to-oblate transition frequency (kHz range)
Phase diagram of vesicle shapes vs field frequency and conductivity ratio

View raw extracted JSON

{
  "study_type": "other",
  "exposure": {
    "band": null,
    "source": "AC electric field",
    "frequency_mhz": null,
    "sar_wkg": null,
    "duration": null
  },
  "population": null,
  "sample_size": null,
  "outcomes": [
    "Vesicle electrodeformation (shape changes)",
    "Prolate-to-oblate transition frequency (kHz range)",
    "Phase diagram of vesicle shapes vs field frequency and conductivity ratio"
  ],
  "main_findings": "The paper describes a model that minimizes membrane bending energy plus electric-field energy to predict vesicle shapes under an applied AC electric field. The model is reported to agree quantitatively with experimentally determined prolate-to-oblate transition frequencies in the kilohertz range and to explain a previously reported phase diagram of vesicle shapes as a function of field frequency and the conductivity ratio of inner vs outer media.",
  "effect_direction": "unclear",
  "limitations": [],
  "evidence_strength": "insufficient",
  "confidence": 0.74,
  "peer_reviewed_likely": "yes",
  "keywords": [
    "giant phospholipid vesicles",
    "electrodeformation",
    "AC electric field",
    "leaky dielectric model",
    "membrane bending energy",
    "prolate-to-oblate transition",
    "kilohertz",
    "conductivity ratio",
    "phase diagram",
    "conductometry"
  ],
  "suggested_hubs": []
}

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AI-extracted fields are generated from the abstract and metadata and may be incomplete or incorrect. This material is for informational purposes and is not medical advice.

Identifiers and source

DOI: 10.1007/s10867-010-9187-3
PubMed: 21886342

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