Evidence map›Paper›PMID 36617043›Full record

ReviewSensors (Basel, Switzerland)2022

Plasmonic Biosensors with Nanostructure for Healthcare Monitoring and Diseases Diagnosis.

Tongge An, Jiahong Wen, Zhichao Dong, Yongjun Zhang, Jian Zhang, Faxiang Qin, Yaxin Wang, Xiaoyu Zhao

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
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  9. 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

8 authors.

Tongge AnCollege of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.ORCID 0000-0002-6964-1266
Jiahong WenThe College of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China.
Zhichao DongCollege of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.
Yongjun ZhangCollege of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.
Jian ZhangCollege of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.
Faxiang QinInstitute for Composites Science Innovation, School of Materials Science and Engineering, Zhejiang University, Hangzhou 310027, China.
Yaxin WangCollege of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.
Xiaoyu ZhaoCollege of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.

Funding

Fundamental Research Funds for the Provincial Universities of Zhejiang GK209907299001-025National Natural Science Foundation of China 12004090National Natural Science Foundation of China 51901060National Natural Science Foundation of Zhejiang Province LQ21A040009National Natural Science Foundation of Zhejiang Province LY21E010004Zhejiang Provincial Key Research and Development Program 2019C01121
6 · The paper itself

Abstract

Nanophotonics has been widely utilized in enhanced molecularspectroscopy or mediated chemical reaction, which has major applications in the field of enhancing sensing and enables opportunities in developing healthcare monitoring. This review presents an updated overview of the recent exciting advances of plasmonic biosensors in the healthcare area. Manufacturing, enhancements and applications of plasmonic biosensors are discussed, with particular focus on nanolisted main preparation methods of various nanostructures, such as chemical synthesis, lithography, nanosphere lithography, nanoimprint lithography, etc., and describing their respective advances and challenges from practical applications of plasmon biosensors. Based on these sensing structures, different types of plasmonic biosensors are summarized regarding detecting cancer biomarkers, body fluid, temperature, gas and COVID-19. Last, the existing challenges and prospects of plasmonic biosensors combined with machine learning, mega data analysis and prediction are surveyed.

Indexed as

Biosensing TechniquesCOVID-19NanospheresNanostructuresCOVID-19 TestingDelivery of Health CareHumansdisease diagnosishealthcare monitoringlithography methodsnanoparticlesplasmonic biosensorsSERS

Identifiers

PMID36617043
PMCPMC9824517

What OpenQuestion holds

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Registered trials

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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.