Evidence map›Paper›PMID 33241197›Full record

ReviewiScience2020

Progress in Bioinspired Dry and Wet Gradient Materials from Design Principles to Engineering Applications.

Xiaoxiao Dong, Hong Zhao, Jiapeng Li, Yu Tian, Hongbo Zeng, Melvin A Ramos, Travis Shihao Hu, Quan Xu

Abstract readReview
In one paragraph

Review in iScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
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.

Xiaoxiao DongState Key Laboratory of Heavy Oil Processing, China University of Petroleum-Beijing, Beijing 102249, China.
Hong ZhaoState Key Laboratory of Heavy Oil Processing, China University of Petroleum-Beijing, Beijing 102249, China.
Jiapeng LiState Key Laboratory of Heavy Oil Processing, China University of Petroleum-Beijing, Beijing 102249, China.
Yu TianState Key Laboratory of Tribology, Tsinghua University, Beijing 100084, China.
Hongbo ZengDepartment of Chemical and Materials Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada.
Melvin A RamosDepartment of Mechanical Engineering, California State University, Los Angeles, CA 90032, USA.
Travis Shihao HuDepartment of Mechanical Engineering, California State University, Los Angeles, CA 90032, USA.
Quan XuState Key Laboratory of Heavy Oil Processing, China University of Petroleum-Beijing, Beijing 102249, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nature does nothing in vain. Through millions of years of revolution, living organisms have evolved hierarchical and anisotropic structures to maximize their survival in complex and dynamic environments. Many of these structures are intrinsically heterogeneous and often with functional gradient distributions. Understanding the convergent and divergent gradient designs in the natural material systems may lead to a new paradigm shift in the development of next-generation high-performance bio-/nano-materials and devices that are critically needed in energy, environmental remediation, and biomedical fields. Herein, we review the basic design principles and highlight some of the prominent examples of gradient biological materials/structures discovered over the past few decades. Interestingly, despite the anisotropic features in one direction (i.e., in terms of gradient compositions and properties), these natural structures retain certain levels of symmetry, including point symmetry, axial symmetry, mirror symmetry, and 3D symmetry. We further demonstrate the state-of-the-art fabrication techniques and procedures in making the biomimetic counterparts. Some prototypes showcase optimized properties surpassing those seen in the biological model systems. Finally, we summarize the latest applications of these synthetic functional gradient materials and structures in robotics, biomedical, energy, and environmental fields, along with their future perspectives. This review may stimulate scientists, engineers, and inventors to explore this emerging and disruptive research methodology and endeavors.

Indexed as

BiomaterialsMaterials DesignMaterials Structure

Identifiers

PMID33241197
PMCPMC7672307

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.