Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 291

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Bioinspired Helical Microfibers from Microfluidics

Yu, Yunru, Fu, Fanfan, Shang, Luoran, Cheng, Yao, Gu, Zhongze, Zhao, Yuanjin·2017·Advanced Materials

Abstract

Helical objects are among the most important and landmark structures in nature, and represent an emerging group of materials with unique spiral geometry; because of their enriched physical and chemical properties, they can have multiple functionalities. However, the fabrication of such complex helical materials at the micro‐ or nanoscale level remains a challenge. Here, a coaxial capillary microfluidic system, with the functions of consecutive spinning and spiraling, is presented for scalable generation of helical microfibers. The generation processes can be precisely tuned by adjusting the flow rates, and thus the length, diameter, and pitch of the helical microfibers are highly controllable. Varying the injection capillary design of the microfluidics enables the generation of helical microfibers with structures such as the novel Janus, triplex, core–shell, and even double‐helix structures. The potential use of these helical microfibers is also explored for magnetically and thermodynamically triggered microsprings, as well as for a force indicator for contraction of cardiomyocytes. These indicate that such helical microfibers are highly versatile for different applications.

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 · 10.1002/adma.201605765

Cites

2 of 2 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

Cites

Show all 2 references

Cited by

See all 291

Metadata

Authors
Yu, Y., Fu, F., Shang, L., Cheng, Y., Gu, Z., & Zhao, Y.
Venue
Advanced Materials
Publisher
Wiley
Published
2017-03-07
Volume
29
Issue
18
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
OpenAlex
W2594482393
Cited by
291
References
2
FWCI
14.43
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: Bioinspired Helical Microfibers from Microfluidics. https://app.cochat.ai/papers/10.1002/adma.201605765
The paper
Yu, Y., Fu, F., Shang, L., Cheng, Y., Gu, Z., & Zhao, Y. (2017). Bioinspired Helical Microfibers from Microfluidics. Advanced Materials. https://doi.org/10.1002/adma.201605765

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.