Evidence map›Paper›PMID 31266148›Full record

ReviewSensors (Basel, Switzerland)2019

Silicon-Based Sensors for Biomedical Applications: A Review.

Yongzhao Xu, Xiduo Hu, Sudip Kundu, Anindya Nag, Nasrin Afsarimanesh, Samta Sapra, Subhas Chandra Mukhopadhyay, Tao Han

Abstract readReview
In one paragraph

Review 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 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

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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

8 authors.

Yongzhao XuSchool of Electronic Engineering, Dongguan University of Technology, Dongguan 523808, China.
Xiduo HuSchool of Electronic Engineering, Dongguan University of Technology, Dongguan 523808, China.
Sudip KunduCSIR-Central Mechanical Engineering Research Institute, Durgapur, West Bengal 713209, India.
Anindya NagDGUT-CNAM Institute, Dongguan University of Technology, Dongguan 523106, China. anindya1991@gmail.com.
Nasrin AfsarimaneshSchool of Engineering, Macquarie University, Sydney 2109, Australia.
Samta SapraSchool of Engineering, Macquarie University, Sydney 2109, Australia.
Subhas Chandra MukhopadhyaySchool of Engineering, Macquarie University, Sydney 2109, Australia.
Tao HanDGUT-CNAM Institute, Dongguan University of Technology, Dongguan 523106, China.ORCID 0000-0002-8422-9288

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The paper highlights some of the significant works done in the field of medical and biomedical sensing using silicon-based technology. The use of silicon sensors is one of the pivotal and prolonged techniques employed in a range of healthcare, industrial and environmental applications by virtue of its distinct advantages over other counterparts in Microelectromechanical systems (MEMS) technology. Among them, the sensors for biomedical applications are one of the most significant ones, which not only assist in improving the quality of human life but also help in the field of microfabrication by imparting knowledge about how to develop enhanced multifunctional sensing prototypes. The paper emphasises the use of silicon, in different forms, to fabricate electrodes and substrates for the sensors that are to be used for biomedical sensing. The electrical conductivity and the mechanical flexibility of silicon vary to a large extent depending on its use in developing prototypes. The article also explains some of the bottlenecks that need to be dealt with in the current scenario, along with some possible remedies. Finally, a brief market survey is given to estimate a probable increase in the usage of silicon in developing a variety of biomedical prototypes in the upcoming years.

Indexed as

Biosensing TechniquesBiomedical ResearchElectrodesHumansMicrotechnologyNanowiresSiliconSiliconbiomedicalnanowiresemiconductingsensorssilicon

Identifiers

PMID31266148
PMCPMC6651638

What OpenQuestion holds

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LicenceCC BY
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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.