Evidence map›Paper›PMID 31795086›Full record

ArticleSensors (Basel, Switzerland)2019

Novel Platform for Droplet Detection and Size Measurement Using Microstrip Transmission Lines.

Juliana de Novais Schianti, Ariana L C Serrano, Daniel Orquiza de Carvalho, Rafael A Penchel, Julio Mota Pinheiro, Mario R Gongora-Rubio, Gustavo Pamplona Rehder

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Juliana de Novais SchiantiInstitute for Technological Research, São Paulo 05508-901, Brazil.ORCID 0000-0002-2895-7424
Ariana L C SerranoEscola Politécnica, Universidade de São Paulo, São Paulo 05508-010, Brazil.
Daniel Orquiza de CarvalhoSao Paulo State University (UNESP), São João da Boa Vista SP 13876-750, Brazil.
Rafael A PenchelSao Paulo State University (UNESP), São João da Boa Vista SP 13876-750, Brazil.ORCID 0000-0002-7298-4518
Julio Mota PinheiroEscola Politécnica, Universidade de São Paulo, São Paulo 05508-010, Brazil.
Mario R Gongora-RubioInstitute for Technological Research, São Paulo 05508-901, Brazil.
Gustavo Pamplona RehderEscola Politécnica, Universidade de São Paulo, São Paulo 05508-010, Brazil.ORCID 0000-0002-0340-126X

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 432088/2018-0Fundação de Amparo à Pesquisa do Estado de São Paulo 2016/25779-9
6 · The paper itself

Abstract

We propose a novel platform for detecting as well as measuring the size of individual droplets in microfluidic channels using microstrip transmission lines. The most outstanding feature of our platform is that, as opposed to previous related works, its design allows for the droplet to flow in a microfluidic channel fabricated between the top strip and the ground plane of a microstrip transmission line. This provides enhanced interaction of the electromagnetic field with the detected droplets. The proposed design allows us to measure droplet size directly from the phase of the microwave signal, without the need for a resonator. The platform is based on low temperature co-fired ceramic (LTCC), which makes it more compatible with Radiofrequency (RF) and microwave technology than platforms used in previous works. With this platform, we are able to measure droplets as small as 150 µm in radius. It is worth pointing out that our device could also be used for detection, counting and measurement of other microscopic objects.

Indexed as

emulsionmicrofluidicsmicrostrip transmission line

Identifiers

PMID31795086
PMCPMC6928822

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.