Evidence map›Paper›PMID 36825603›Full record

ArticleNanoscale horizons2023

Amplified EQCM-D detection of extracellular vesicles using 2D gold nanostructured arrays fabricated by block copolymer self-assembly.

Jugal Suthar, Alberto Alvarez-Fernandez, Esther Osarfo-Mensah, Stefano Angioletti-Uberti, Gareth R Williams, Stefan Guldin

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Article in Nanoscale horizons, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

6 authors.

Jugal SutharDepartment of Chemical Engineering, University College London, Torrington Place, London, WC1E 7JE, UK. alberto.fernandez@ucl.ac.uk.ORCID 0000-0003-4287-5254
Alberto Alvarez-FernandezDepartment of Chemical Engineering, University College London, Torrington Place, London, WC1E 7JE, UK. alberto.fernandez@ucl.ac.uk.ORCID 0000-0002-2607-3035
Esther Osarfo-MensahDepartment of Chemical Engineering, University College London, Torrington Place, London, WC1E 7JE, UK. alberto.fernandez@ucl.ac.uk.ORCID 0000-0003-2162-1589
Stefano Angioletti-UbertiDepartment of Materials, Imperial College London, Exhibition Road, London, SW7 2AZ, UK.
Gareth R WilliamsUCL School of Pharmacy, University College London, 29-39 Brunswick Square, Bloomsbury, London, WC1N 1AX, UK.ORCID 0000-0002-3066-2860
Stefan GuldinDepartment of Chemical Engineering, University College London, Torrington Place, London, WC1E 7JE, UK. alberto.fernandez@ucl.ac.uk.ORCID 0000-0002-4413-5527

Funding

Medical Research Council MR/R000328/1
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are routinely released from nearly all cell types as transport vehicles and for cell communication. Crucially, they contain biomolecular content for the identification of health and disease states that can be detected from readily accessible physiological fluids, including urine, plasma, or saliva. Despite their clinical utility within noninvasive diagnostic platforms such as liquid biopsies, the currently available portfolio of analytical approaches are challenged by EV heterogeneity in size and composition, as well as the complexity of native biofluids. Quartz crystal microbalance with dissipation monitoring (QCM-D) has recently emerged as a powerful alternative for the phenotypic detection of EVs, offering multiple modes of analyte discrimination by frequency and dissipation. While providing rich data for sensor development, further progress is required to reduce detection limits and fully exploit the technique's potential within biosensing. Herein, we investigate the impact of nanostructuring the sensor electrode surface for enhancing its detection capabilities. We employ self-assembly of the block copolymer polystyrene-

Indexed as

Extracellular VesiclesNanostructuresGoldPolymersQuartz Crystal Microbalance TechniquesGoldPolymers

Identifiers

PMID36825603
PMCPMC10042438

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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.