Evidence map›Paper›PMID 38892343›Full record

ReviewInternational journal of molecular sciences2024

The Latest Advances in Ink-Based Nanogenerators: From Materials to Applications.

Bingqian Shao, Zhitao Chen, Hengzhe Su, Shuzhe Peng, Mingxin Song

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Bingqian ShaoSchool of Applied Science and Technology, Hainan University, Haikou 570228, China.
Zhitao ChenSchool of Applied Science and Technology, Hainan University, Haikou 570228, China.
Hengzhe SuSchool of Applied Science and Technology, Hainan University, Haikou 570228, China.
Shuzhe PengSchool of Applied Science and Technology, Hainan University, Haikou 570228, China.
Mingxin SongSchool of Electronic Science and Technology, Hainan University, Haikou 570228, China.ORCID 0000-0001-5051-3304

Funding

Hainan University KYQD(ZR)20062
6 · The paper itself

Abstract

Nanogenerators possess the capability to harvest faint energy from the environment. Among them, thermoelectric (TE), triboelectric, piezoelectric (PE), and moisture-enabled nanogenerators represent promising approaches to micro-nano energy collection. These nanogenerators have seen considerable progress in material optimization and structural design. Printing technology has facilitated the large-scale manufacturing of nanogenerators. Although inks can be compatible with most traditional functional materials, this inevitably leads to a decrease in the electrical performance of the materials, necessitating control over the rheological properties of the inks. Furthermore, printing technology offers increased structural design flexibility. This review provides a comprehensive framework for ink-based nanogenerators, encompassing ink material optimization and device structural design, including improvements in ink performance, control of rheological properties, and efficient energy harvesting structures. Additionally, it highlights ink-based nanogenerators that incorporate textile technology and hybrid energy technologies, reviewing their latest advancements in energy collection and self-powered sensing. The discussion also addresses the main challenges faced and future directions for development.

Indexed as

InkNanotechnologyElectric Power SuppliesPrintingRheologydevice structural designenergy harvestingink-based nanogeneratorsoptimization of ink materialsprinting technology

Identifiers

PMID38892343
PMCPMC11172637

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.