Evidence map›Paper›PMID 31635318›Full record

ArticleSensors (Basel, Switzerland)2019

Perturbation Analysis of a Multiple Layer Guided Love Wave Sensor in a Viscoelastic Environment.

Tao Wang, Ryan Murphy, Jing Wang, Shyam S Mohapatra, Subhra Mohapatra, Rasim Guldiken

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Tao WangDepartment of Mechanical Engineering, College of Engineering, University of South Florida, Tampa, FL 33610, USA. taowang@mail.usf.edu.ORCID 0000-0002-6408-0244
Ryan MurphyDepartment of Mechanical Engineering, College of Engineering, University of South Florida, Tampa, FL 33610, USA. ryanpatrickm@mail.usf.edu.ORCID 0000-0002-0961-6624
Jing WangDepartment of Electrical Engineering, University of South Florida, Tampa, FL 33610, USA. jingw@usf.edu.ORCID 0000-0002-9380-4467
Shyam S MohapatraCenter for Research and Education in Nanobioengineering, University of South Florida, Tampa, FL 33612, USA. smohapat@health.usf.edu.ORCID 0000-0001-5838-0681
Subhra MohapatraCenter for Research and Education in Nanobioengineering, University of South Florida, Tampa, FL 33612, USA. smohapa2@health.usf.edu.ORCID 0000-0001-7636-0174
Rasim GuldikenDepartment of Mechanical Engineering, College of Engineering, University of South Florida, Tampa, FL 33610, USA. guldiken@usf.edu.ORCID 0000-0002-4368-2238

Funding

BLRD VA IK6 BX004212
6 · The paper itself

Abstract

Surface acoustic wave sensors have the advantage of fast response, low-cost, and wireless interfacing capability and they have been used in the medical analysis, material characterization, and other application fields that immerse the device under a liquid environment. The theoretical analysis of the single guided layer shear horizontal acoustic wave based on the perturbation theory has seen developments that span the past 20 years. However, multiple guided layer systems under a liquid environment have not been thoroughly analyzed by existing theoretical models. A dispersion equation previously derived from a system of three rigidly coupled elastic mass layers is extended and developed in this study with multiple guided layers to analyze how the liquid layer's properties affect the device's sensitivity. The combination of the multiple layers to optimize the sensitivity of an acoustic wave sensor is investigated in this study. The Maxwell model of viscoelasticity is applied to represent the liquid layer. A thorough analysis of the complex velocity due to the variations of the liquid layer's properties and thickness is derived and discussed to optimize multilayer Surface acoustic wave (SAW) sensor design. Numerical simulation of the sensitivity with a liquid layer on top of two guided layers is investigated in this study as well. The parametric investigation was conducted by varying the thicknesses for the liquid layer and the guided layers. The effect of the liquid layer viscosity on the sensitivity of the design is also presented in this study. The two guided layer device can achieve higher sensitivity than the single guided layer counterpart in a liquid environment by optimizing the second guided layer thickness. This perturbation analysis is valuable for Love wave sensor optimization to detect the liquid biological samples and analytes.

Indexed as

guided layerslove waveperturbationsurface acoustic waveZnO

Identifiers

PMID31635318
PMCPMC6832912

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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.