Evidence map›Paper›PMID 38920611›Full record

ReviewBiosensors2024

Advances in Nanoplasmonic Biosensors: Optimizing Performance for Exosome Detection Applications.

Devi Taufiq Nurrohman, Nan-Fu Chiu, Yu-Sheng Hsiao, Yun-Ju Lai, Himansu Sekhar Nanda

Abstract readReview
In one paragraph

Review in Biosensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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.

Devi Taufiq NurrohmanLaboratory of Nano-Photonics and Biosensors, Institute of Electro-Optical Engineering, National Taiwan Normal University, Taipei 11677, Taiwan.ORCID 0000-0001-7016-1908
Nan-Fu ChiuLaboratory of Nano-Photonics and Biosensors, Institute of Electro-Optical Engineering, National Taiwan Normal University, Taipei 11677, Taiwan.ORCID 0000-0003-1995-5483
Yu-Sheng HsiaoDepartment of Materials Science and Engineering, National Taiwan University of Science and Technology, No. 43, Sec. 4, Keelung Road, Da-an District, Taipei 10607, Taiwan.
Yun-Ju LaiDepartment of Life Science, National Taiwan Normal University, Taipei 11677, Taiwan.ORCID 0000-0001-7337-3017
Himansu Sekhar NandaBiomedical Engineering and Technology Laboratory, Mechanical Engineering Discipline, PDPM Indian Institute of Information Technology, Design & Manufacturing, Jabalpur 482005, India.ORCID 0000-0001-5558-9885

Funding

Ministry of Science and Technology of the Republic of China (ROC), Taiwan, MOST 108-2221-E-003 -020 -MY3, MOST 109-2221-E-003-028-MY3, and NSTC 112-2221-E-003 -016 -MY3.
6 · The paper itself

Abstract

The development of sensitive and specific exosome detection tools is essential because they are believed to provide specific information that is important for early detection, screening, diagnosis, and monitoring of cancer. Among the many detection tools, surface-plasmon resonance (SPR) biosensors are analytical devices that offer advantages in sensitivity and detection speed, thereby making the sample-analysis process faster and more accurate. In addition, the penetration depth of the SPR biosensor, which is <300 nm, is comparable to the size of the exosome, making the SPR biosensor ideal for use in exosome research. On the other hand, another type of nanoplasmonic sensor, namely a localized surface-plasmon resonance (LSPR) biosensor, has a shorter penetration depth of around 6 nm. Structural optimization through the addition of supporting layers and gap control between particles is needed to strengthen the surface-plasmon field. This paper summarizes the progress of the development of SPR and LSPR biosensors for detecting exosomes. Techniques in signal amplification from two sensors will be discussed. There are three main parts to this paper. The first two parts will focus on reviewing the working principles of each sensor and introducing several methods that can be used to isolate exosomes. This article will close by explaining the various sensor systems that have been developed and the optimizations carried out to obtain sensors with better performance. To illustrate the performance improvements in each sensor system discussed, the parameters highlighted include the detection limit, dynamic range, and sensitivity.

Indexed as

Biosensing TechniquesExosomesSurface Plasmon ResonanceHumansNanotechnologybiosensorsexosomelocalized surface-plasmon resonancesurface-plasmon resonance

Identifiers

PMID38920611
PMCPMC11201745

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.