Evidence map›Paper›PMID 38733009›Full record

ReviewSensors (Basel, Switzerland)2024

Advancements in Polymer-Assisted Layer-by-Layer Fabrication of Wearable Sensors for Health Monitoring.

Meiqing Jin, Peizheng Shi, Zhuang Sun, Ningbin Zhao, Mingjiao Shi, Mengfan Wu, Chen Ye, Cheng-Te Lin, Li Fu

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2024. 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. Review
  3. Article
  4. Review
  5. 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

9 authors.

Meiqing JinCollege of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.
Peizheng ShiQianwan Institute, Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences, Ningbo 315201, China.
Zhuang SunQianwan Institute, Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences, Ningbo 315201, China.
Ningbin ZhaoQianwan Institute, Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences, Ningbo 315201, China.
Mingjiao ShiQianwan Institute, Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences, Ningbo 315201, China.
Mengfan WuQianwan Institute, Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences, Ningbo 315201, China.
Chen YeQianwan Institute, Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences, Ningbo 315201, China.
Cheng-Te LinQianwan Institute, Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences, Ningbo 315201, China.ORCID 0000-0002-7090-9610
Li FuCollege of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.ORCID 0000-0002-5957-7790

Funding

CAS Youth Innovation Promotion Association 2020301China Postdoctoral Science Foundation (2020M681965, 2022M713243)Ningbo 3315 Innovation Team 2019A-18-CNingbo Key Scientific and Technological Project (2021Z120, 2021Z115, 2022Z084, 2022Z191)Science and Technology Major Project of Ningbo (2021ZDYF020196, 2021ZDYF020198)the National Key R&D Program of China (2022YFA1203100, 2022YFB3706602, 2021YFB3701801)the National Natural Science Foundation of China (52272053, 52075527, 52102055)the Project of Chinese Academy of Science XDA22020602, ZDKYYQ2020001)the Yongjiang Talent Introduction Programme of Ningbo (2021A-037-C, 2021A-108-G)the Youth Fund of Chinese Academy of Sciences JCPYJ-22030
6 · The paper itself

Abstract

Recent advancements in polymer-assisted layer-by-layer (LbL) fabrication have revolutionized the development of wearable sensors for health monitoring. LbL self-assembly has emerged as a powerful and versatile technique for creating conformal, flexible, and multi-functional films on various substrates, making it particularly suitable for fabricating wearable sensors. The incorporation of polymers, both natural and synthetic, has played a crucial role in enhancing the performance, stability, and biocompatibility of these sensors. This review provides a comprehensive overview of the principles of LbL self-assembly, the role of polymers in sensor fabrication, and the various types of LbL-fabricated wearable sensors for physical, chemical, and biological sensing. The applications of these sensors in continuous health monitoring, disease diagnosis, and management are discussed in detail, highlighting their potential to revolutionize personalized healthcare. Despite significant progress, challenges related to long-term stability, biocompatibility, data acquisition, and large-scale manufacturing are still to be addressed, providing insights into future research directions. With continued advancements in polymer-assisted LbL fabrication and related fields, wearable sensors are poised to improve the quality of life for individuals worldwide.

Indexed as

Biosensing TechniquesPolymersWearable Electronic DevicesHumansMonitoring, PhysiologicPolymersbiocompatibilitycontinuous monitoringLbL self-assemblypersonalized healthcarestimuli-responsive polymers

Identifiers

PMID38733009
PMCPMC11086243

What OpenQuestion holds

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Registered trials

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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.