Evidence map›Paper›PMID 28250471›Full record

ArticleNature nanotechnology2017

Triboelectric nanogenerators for sensitive nano-coulomb molecular mass spectrometry.

Anyin Li, Yunlong Zi, Hengyu Guo, Zhong Lin Wang, Facundo M Fernández

Abstract read
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In one paragraph

Article in Nature nanotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Article
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  5. Review
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  8. Self-Powered Autonomous Electrostatic Dust Removal for Solar Panels by an Electret Generator.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  9. Article
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  11. Article
  12. Article
  13. Article
  14. Design of effective self-powered SnSScientific reports · 2022
    Article
  15. Article
  16. The Regulation of ONanomaterials (Basel, Switzerland) · 2021
    Article
  17. Article
  18. Article
  19. Tribo-Induced Color Tuner toward Smart Lighting and Self-Powered Wireless Sensing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    Article
  20. 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

5 authors.

Anyin LiSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332, USA.ORCID 0000-0003-0291-5688
Yunlong ZiSchool of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA.
Hengyu GuoSchool of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA.
Zhong Lin WangSchool of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA.
Facundo M FernándezSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332, USA.ORCID 0000-0002-0302-2534

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ion sources for molecular mass spectrometry are usually driven by direct current power supplies with no user control over the total charges generated. Here, we show that the output of triboelectric nanogenerators (TENGs) can quantitatively control the total ionization charges in mass spectrometry. The high output voltage of TENGs can generate single- or alternating-polarity ion pulses, and is ideal for inducing nanoelectrospray ionization (nanoESI) and plasma discharge ionization. For a given nanoESI emitter, accurately controlled ion pulses ranging from 1.0 to 5.5 nC were delivered with an onset charge of 1.0 nC. Spray pulses can be generated at a high frequency of 17 Hz (60 ms in period) and the pulse duration is adjustable on-demand between 60 ms and 5.5 s. Highly sensitive (∼0.6 zeptomole) mass spectrometry analysis using minimal sample (18 pl per pulse) was achieved with a 10 pg ml

Identifiers

PMID28250471

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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.