Evidence map›Paper›PMID 30427942›Full record

ArticlePloS one2018

Resonance control of acoustic focusing systems through an environmental reference table and impedance spectroscopy.

Daniel M Kalb, Robert J Olson, Heidi M Sosik, Travis A Woods, Steven W Graves

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. 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
0.4field-weighted citation impact, top 37% of its field
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, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 at 2 institutions in 1 country.

Daniel M KalbCenter for Biomedical Engineering, University of New Mexico, Albuquerque, New Mexico, United States.ORCID 0000-0001-9153-4347
Robert J OlsonBiology Department, Woods Hole Oceanographic Institution, Woods Hole, MA, United States.
Heidi M SosikBiology Department, Woods Hole Oceanographic Institution, Woods Hole, MA, United States.ORCID 0000-0002-4591-2842
Travis A WoodsCenter for Biomedical Engineering, University of New Mexico, Albuquerque, New Mexico, United States.
Steven W GravesCenter for Biomedical Engineering, University of New Mexico, Albuquerque, New Mexico, United States.
University of New Mexico · USWoods Hole Oceanographic Institution · US

Funding

High volume high throughput affordable parallel acoustic flow cytometryR21GM107805 · NIGMS · UNIVERSITY OF NEW MEXICO · PI GRAVES, STEVEN W · 2013 to 2015
$546k
NIGMS NIH HHS R21 GM107805
6 · The paper itself

Abstract

Acoustic standing waves can precisely focus flowing particles or cells into tightly positioned streams for interrogation or downstream separations. The efficiency of an acoustic standing wave device is dependent upon operating at a resonance frequency. Small changes in a system's temperature and sample salinity can shift the device's resonance condition, leading to poor focusing. Practical implementation of an acoustic standing wave system requires an automated resonance control system to adjust the standing wave frequency in response to environmental changes. Here we have developed a rigorous approach for quantifying the optimal acoustic focusing frequency at any given environmental condition. We have demonstrated our approach across a wide range of temperature and salinity conditions to provide a robust characterization of how the optimal acoustic focusing resonance frequency shifts across these conditions. To generalize these results, two microfluidic bulk acoustic standing wave systems (a steel capillary and an etched silicon wafer) were examined. Models of these temperature and salinity effects suggest that it is the speed of sound within the liquid sample that dominates the resonance frequency shift. Using these results, a simple reference table can be generated to predict the optimal resonance condition as a function of temperature and salinity. Additionally, we show that there is a local impedance minimum associated with the optimal system resonance. The integration of the environmental results for coarse frequency tuning followed by a local impedance characterization for fine frequency adjustments, yields a highly accurate method of resonance control. Such an approach works across a wide range of environmental conditions, is easy to automate, and could have a significant impact across a wide range of microfluidic acoustic standing wave systems.

Indexed as

Environmental MonitoringMicrofluidicsSoundAcousticsDielectric SpectroscopyMicrofluidic Analytical TechniquesSalinityTemperatureVibration

Identifiers

PMID30427942
PMCPMC6235394
OpenAlexW2901792931

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.