Evidence map›Paper›PMID 30704097›Full record

ReviewMicromachines2019

Self-Cleaning: From Bio-Inspired Surface Modification to MEMS/Microfluidics System Integration.

Di Sun, Karl F Böhringer

Abstract readReview
In one paragraph

Review in Micromachines, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Silk Fibroin/ZnO Coated TiOMaterials (Basel, Switzerland) · 2023
    Article
  4. Article
  5. Review
  6. Article
  7. 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

2 authors.

Di SunDepartment of Electrical & Computer Engineering, University of Washington, Seattle, WA 98105, USA. dxs535@uw.edu.ORCID 0000-0003-1568-9958
Karl F BöhringerDepartment of Electrical & Computer Engineering, University of Washington, Seattle, WA 98105, USA. karlb@uw.edu.ORCID 0000-0002-9428-2648

Funding

National Science Foundation ECCS-1308025National Science Foundation NNCI-0335765National Science Foundation NNCI-1337840National Science Foundation NNCI-1542101
6 · The paper itself

Abstract

This review focuses on self-cleaning surfaces, from passive bio-inspired surface modification including superhydrophobic, superomniphobic, and superhydrophilic surfaces, to active micro-electro-mechanical systems (MEMS) and digital microfluidic systems. We describe models and designs for nature-inspired self-cleaning schemes as well as novel engineering approaches, and we discuss examples of how MEMS/microfluidic systems integrate with functional surfaces to dislodge dust or undesired liquid residues. Meanwhile, we also examine "waterless" surface cleaning systems including electrodynamic screens and gecko seta-inspired tapes. The paper summarizes the state of the art in self-cleaning surfaces, introduces available cleaning mechanisms, describes established fabrication processes and provides practical application examples.

Indexed as

electrodynamic screengecko setaemicrofluidicsself-cleaning surfacesuperhydrophilicsuperhydrophobicsuperomniphobic

Identifiers

PMID30704097
PMCPMC6412494

What OpenQuestion holds

Textmetadata
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.