Evidence map›Paper›PMID 34064431›Full record

ReviewSensors (Basel, Switzerland)2021

Biosensing Applications Using Nanostructure-Based Localized Surface Plasmon Resonance Sensors.

Dong Min Kim, Jong Seong Park, Seung-Woon Jung, Jinho Yeom, Seung Min Yoo

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  11. Article
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  17. Plasmonic sensing using Babinet's principle.Nanophotonics (Berlin, Germany) · 2023
    Article
  18. Fully Aqueous Self-Assembly of a Gold-Nanoparticle-Based Pathogen Sensor.International journal of molecular sciences · 2023
    Article
  19. Development of a multi-functional SPR sensing system using a square glass rod with two gold-deposited adjacent faces.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2023
    Article
  20. 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

5 authors.

Dong Min KimCenter for Applied Life Science, Hanbat National University, Daejeon 34158, Korea.
Jong Seong ParkSchool of Integrative Engineering, Chung-Ang University, Seoul 06974, Korea.
Seung-Woon JungSchool of Integrative Engineering, Chung-Ang University, Seoul 06974, Korea.
Jinho YeomSchool of Integrative Engineering, Chung-Ang University, Seoul 06974, Korea.
Seung Min YooSchool of Integrative Engineering, Chung-Ang University, Seoul 06974, Korea.

Funding

National Research Foundation of Korea 2019R1A2C1088504
6 · The paper itself

Abstract

Localized surface plasmon resonance (LSPR)-based biosensors have recently garnered increasing attention due to their potential to allow label-free, portable, low-cost, and real-time monitoring of diverse analytes. Recent developments in this technology have focused on biochemical markers in clinical and environmental settings coupled with advances in nanostructure technology. Therefore, this review focuses on the recent advances in LSPR-based biosensor technology for the detection of diverse chemicals and biomolecules. Moreover, we also provide recent examples of sensing strategies based on diverse nanostructure platforms, in addition to their advantages and limitations. Finally, this review discusses potential strategies for the development of biosensors with enhanced sensing performance.

Indexed as

biomoleculedetectionlocalized surface plasmon resonancenanoparticlenanostructure

Identifiers

PMID34064431
PMCPMC8125509

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.