Evidence map›Paper›PMID 40416647›Full record

ReviewRegenerative biomaterials2025

Advancing electrospinning towards the future of biomaterials in biomedical engineering.

Yanjiao Teng, Lin Song, Jie Shi, Qi Lv, Shike Hou, Seeram Ramakrishna

Abstract readReview
In one paragraph

Review in Regenerative biomaterials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  4. Review
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  6. Article
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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

6 authors.

Yanjiao TengTianjin Key Laboratory of Disaster Medicine Technology, School of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China.
Lin SongState Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210000, China.
Jie ShiTianjin Key Laboratory of Disaster Medicine Technology, School of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China.
Qi LvTianjin Key Laboratory of Disaster Medicine Technology, School of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China.
Shike HouTianjin Key Laboratory of Disaster Medicine Technology, School of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China.
Seeram RamakrishnaDepartment of Mechanical Engineering, National University of Singapore, Singapore 117575, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomaterial is a material designed to take a form that can direct, through interactions with living systems, the course of any therapeutic or diagnostic procedure. Growing demand for improved and affordable healthcare treatments and unmet clinical needs seek further advancement of biomaterials. Over the past 25 years, the electrospinning method has been innovated to enhance biomaterials at nanometer and micrometer length scales for diverse healthcare applications. Recent developments include intelligent (smart) biomaterials and sustainable biomaterials. Intelligent materials can sense, adapt to and respond to external stimuli, autonomously adjusting to enhance functionality and performance. Sustainable biomaterials possess several key characteristics, including renewability, a low carbon footprint, circularity, durability, biocompatibility, biodegradability and others. Herein, advances in electrospun biomaterials, encompassing process innovations, working principles and the effects of process variables, are presented succinctly. The potential of electrospun intelligent biomaterials and sustainable biomaterials in specific biomedical applications, including tissue engineering, regenerative medicine, drug delivery systems, brain-computer interfaces, biosensors, personal protective equipment and wearable devices, is explored. More effective healthcare demands further advancements in electrospun biomaterials. In the future, the distinctive characteristics of intelligent biomaterials and sustainable biomaterials, integrated with various emerging technologies (such as AI and data transmission), will enable physicians to conduct remote diagnosis and treatment. This advancement significantly enhances telemedicine capabilities for more accurate disease prediction and management.

Indexed as

biomedical applicationelectrospinninghealthcareintelligent biomaterialssustainable biomaterials

Identifiers

PMID40416647
PMCPMC12098264

What OpenQuestion holds

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LicenceCC BY
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.