Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 170

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Biological Ferroelectricity Uncovered in Aortic Walls by Piezoresponse Force Microscopy

Open access
Liu, Yuanming, Zhang, Yanhang, Chow, Ming-Jay, Chen, Qian Nataly, Li, Jiangyu·2012·Physical Review Letters

Abstract

Many biological tissues are piezoelectric and pyroelectric with spontaneous polarization. Ferroelectricity, however, has not been reported in soft biological tissues yet. Using piezoresponse force microscopy, we discover that the porcine aortic walls are not only piezoelectric, but also ferroelectric, with the piezoelectric coefficient in the order of 1 pm/V and coercive voltage approximately 10 V. Through detailed switching spectroscopy mapping and relaxation studies, we also find that the polarization of the aortic walls is internally biased outward, and the inward polarization switched by a negative voltage is unstable, reversing spontaneously to the more stable outward orientation shortly after the switching voltage is removed. The discovery of ferroelectricity in soft biological tissues adds an important dimension to their biophysical properties, and could have physiological implications as well.

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 · 10.1103/physrevlett.108.078103

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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 170

Metadata

Authors
Liu, Y., Zhang, Y., Chow, M.-J., Chen, Q. N., & Li, J.
Venue
Physical Review Letters
Published
2012-02-13
Volume
108
Issue
7
Pages
078103-078103
ISSN
  • 0031-9007 (ISSN-L)
  • 1079-7114
OpenAlex
W2067914570
Cited by
170
References
1
FWCI
9.27
Type
journal article
Language
en
Open access
green

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: Biological Ferroelectricity Uncovered in Aortic Walls by Piezoresponse Force Microscopy. https://app.cochat.ai/papers/10.1103/physrevlett.108.078103
The paper
Liu, Y., Zhang, Y., Chow, M.-J., Chen, Q. N., & Li, J. (2012). Biological Ferroelectricity Uncovered in Aortic Walls by Piezoresponse Force Microscopy. Physical Review Letters. https://doi.org/10.1103/physrevlett.108.078103

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.