Evidence map›Paper›PMID 40465210›Full record

ReviewAdvanced materials (Deerfield Beach, Fla.)2025

Topology in Biological Piezoelectric Materials.

Chen Chen, Yanhu Zhang, Yi Zheng, Yi Zhang, Hongyi Liu, Jiang Wu, Liang Yang, Zhengbao Yang

Abstract readReview
In one paragraph

Review in Advanced materials (Deerfield Beach, Fla.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Artificial intelligence virtual bone organoids (AIVBOs).Journal of orthopaedic translation · 2026
    Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Topology in Biological Piezoelectric Materials.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
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

8 authors.

Chen ChenSchool of Mechanical Engineering, Jiangsu University, Zhenjiang, 212013, China.ORCID https://orcid.org/0009-0009-7526-2447
Yanhu ZhangSchool of Mechanical Engineering, Jiangsu University, Zhenjiang, 212013, China.ORCID https://orcid.org/0000-0002-8668-3708
Yi ZhengDepartment of Mechanical Engineering, City University of Hong Kong, Hong Kong, 999077, China.
Yi ZhangSchool of Mechanical Engineering, Jiangsu University, Zhenjiang, 212013, China.
Hongyi LiuSchool of Mechanical Engineering, Jiangsu University, Zhenjiang, 212013, China.
Jiang WuSchool of Control Science and Engineering, Shandong University, Jinan, 250061, China.
Liang YangDivision of Energy and Sustainability, Cranfield University, Bedford, MK43 0AL, UK.
Zhengbao YangDepartment of Mechanical and Aerospace Engineering, Hong Kong University of Science & Technology, Hong Kong SAR, 999077, China.ORCID https://orcid.org/0000-0001-5075-0457

Funding

Innovation and Technology Commission of Hong Kong Special Administrative Region ProjectNo.MHP/013/23Jiangsu Province Post-Doctoral Research Funding Scheme 2019K195National Natural Science Foundation of China 51705210Shenzhen-Hongkong Joint Innovation Project SGDX20190919102801693
6 · The paper itself

Abstract

Topology is fundamental in determining the properties and functions of biological piezoelectric materials by influencing service performances across multiple scales, from nanoscale molecular arrangements to macroscopic assembly structures. At each scale, topology governs electrical, mechanical, and biological behaviors, facilitating multifunctional integration and multi-field coupling advances. Recent progress demonstrates the potential of topological optimization to enhance piezoelectric coefficients and enable complex functionalities. Strategies such as multi-scale design, machine learning-guided optimization, and precision fabrication techniques are being explored to address persistent challenges, including limited energy conversion efficiency, long-term stability, and biocompatibility. Critical applications include health monitoring, biosensing, energy harvesting, and disease treatment, highlighting opportunities and unresolved technical bottlenecks. Future research directions are discussed to present theoretical insights and practical pathways to the development of biological piezoelectric materials.

Indexed as

Biocompatible MaterialsAnimalsBiosensing TechniquesElectricityHumansBiocompatible Materialsbiomaterialsenergy conversionenergy harvestingpiezoelectricsensor

Identifiers

PMID40465210
PMCPMC12355455

What OpenQuestion holds

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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.