Evidence map›Paper›PMID 36146297›Full record

ReviewSensors (Basel, Switzerland)2022

Techniques to Improve the Performance of Planar Microwave Sensors: A Review and Recent Developments.

Mohammad Abdolrazzaghi, Vahid Nayyeri, Ferran Martin

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
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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

3 authors.

Mohammad AbdolrazzaghiElectrical and Computer Engineering Department, University of Toronto, 10 King's College Circle, Toronto, ON M5S3G4, Canada.ORCID 0000-0002-4811-8660
Vahid NayyeriSchool of Advanced Technologies, Iran University of Science and Technology, Tehran 1684613114, Iran.ORCID 0000-0002-0328-4737
Ferran MartinCentro de Investigación en Metamateriales para la Innovación en Tecnologías Electrónica y de Comunicaciones (CIMITEC), Departament d'Enginyeria Electrònica, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain.ORCID 0000-0002-1494-9167

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Planar microwave sensors have become increasing developed in recent decades, especially in material characterization (solid/liquid) as they provide regions highly sensitive to the surrounding medium. However, when it comes to deciphering the content of practical biological analytes or chemical components inside a host medium, even higher sensitivities are required due to their minute concentrations. This review article presents a comprehensive outlook on various methodologies to enhance sensitivity (e.g., coupling resonators, channel embedding, analyte immobilization, resonator pattern recognition, use of phase variation, using coupled line section, and intermodulation products), resolution (active sensors, differential measurements), and robustness (using machine learning) of arbitrary sensors of interest. Some of the most practical approaches are presented with prototype examples, and the main applications of incorporating such procedures are reported. Sensors with which the proposed techniques are implemented exhibit higher performance for high-end and real-life use.

Indexed as

active sensordielectric characterizationmachine learningmicrofluidicsmicrowave sensorresolutionresonatorssensitivity

Identifiers

PMID36146297
PMCPMC9504794

What Socratic 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 Socratic graph.