Evidence map›Paper›PMID 37441005›Full record

ArticleAggregate (Hoboken, N.J.)2022

Bubble-pen lithography: Fundamentals and applications: Nanoscience: Special Issue Dedicated to Professor Paul S. Weiss.

Pavana Siddhartha Kollipara, Ritvik Mahendra, Jingang Li, Yuebing Zheng

Abstract read
In one paragraph

Article in Aggregate (Hoboken, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

4 authors.

Pavana Siddhartha KolliparaWalker Department of Mechanical Engineering, The University of Texas at Austin, Austin, Texas, USA.
Ritvik MahendraDepartment of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas, USA.
Jingang LiMaterial Science and Engineering Program, Texas Materials Institute, The University of Texas at Austin, Austin, Texas, USA.ORCID 0000-0003-0827-9758
Yuebing ZhengWalker Department of Mechanical Engineering, The University of Texas at Austin, Austin, Texas, USA.ORCID 0000-0002-9168-9477

Funding

On-Chip Multiplexed Adhesion Frequency Assay for Measuring Receptor-Ligand Interactions on CellsDP2GM128446 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI ZHENG, YUEBING · 2017 to 2017
$2.2M
NIGMS NIH HHS DP2 GM128446
6 · The paper itself

Abstract

Developing on-chip functional devices requires reliable fabrication methods with high resolution for miniaturization, desired components for enhanced performance, and high throughput for fast prototyping and mass production. Recently, laser-based bubble-pen lithography (BPL) has been developed to enable sub-micron linewidths, in situ synthesis of custom materials, and on-demand patterning for various functional components and devices. BPL exploits Marangoni convection induced by a laser-controlled microbubble to attract, accumulate, and immobilize particles, ions, and molecules onto different substrates. Recent years have witnessed tremendous progress in theory, engineering, and application of BPL, which motivated us to write this review. First, an overview of experimental demonstrations and theoretical understandings of BPL is presented. Next, we discuss the advantages of BPL and its diverse applications in quantum dot displays, biological and chemical sensing, clinical diagnosis, nanoalloy synthesis, and microrobotics. We conclude this review with our perspective on the challenges and future directions of BPL.

Indexed as

additive manufacturingcapillary flowlithographymarangoni convectionmicrobubblessensing

Identifiers

PMID37441005
PMCPMC10338034

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.