Evidence map›Paper›PMID 34473477›Full record

ArticleACS applied materials & interfaces2021

Exploiting Electrostatic Interaction for Highly Sensitive Detection of Tumor-Derived Extracellular Vesicles by an Electrokinetic Sensor.

Siddharth Sourabh Sahu, Sara Cavallaro, Petra Hååg, Ábel Nagy, Amelie Eriksson Karlström, Rolf Lewensohn, Kristina Viktorsson, Jan Linnros, Apurba Dev

Open access · hybridAbstract read
In one paragraph

Article in ACS applied materials & interfaces, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 19% of its field
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

8 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

9 authors at 4 institutions in 1 country.

Siddharth Sourabh SahuDepartment of Electrical Engineering, The Ångström Laboratory, Uppsala University, 75121 Uppsala, Sweden.ORCID https://orcid.org/0000-0002-2794-9158
Sara CavallaroDepartment of Applied Physics, School of Engineering Sciences, KTH Royal Institute of Technology, 10691 Stockholm, Sweden.ORCID https://orcid.org/0000-0002-5077-3218
Petra HåågDepartment of Oncology-Pathology, Karolinska Institutet, 17164 Stockholm, Sweden.
Ábel NagyDepartment of Protein Science, School of Chemistry, Biotechnology, and Health (CBH), KTH Royal Institute of Technology, 10691 Stockholm, Sweden.
Amelie Eriksson KarlströmDepartment of Protein Science, School of Chemistry, Biotechnology, and Health (CBH), KTH Royal Institute of Technology, 10691 Stockholm, Sweden.
Rolf LewensohnDepartment of Oncology-Pathology, Karolinska Institutet, 17164 Stockholm, Sweden.
Kristina ViktorssonDepartment of Oncology-Pathology, Karolinska Institutet, 17164 Stockholm, Sweden.
Jan LinnrosDepartment of Applied Physics, School of Engineering Sciences, KTH Royal Institute of Technology, 10691 Stockholm, Sweden.
Apurba DevDepartment of Electrical Engineering, The Ångström Laboratory, Uppsala University, 75121 Uppsala, Sweden.ORCID https://orcid.org/0000-0002-6235-2891
KTH Royal Institute of Technology · SEKarolinska Institutet · SEUppsala University · SEKarolinska University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present an approach to improve the detection sensitivity of a streaming current-based biosensor for membrane protein profiling of small extracellular vesicles (sEVs). The experimental approach, supported by theoretical investigation, exploits electrostatic charge contrast between the sensor surface and target analytes to enhance the detection sensitivity. We first demonstrate the feasibility of the approach using different chemical functionalization schemes to modulate the zeta potential of the sensor surface in a range -16.0 to -32.8 mV. Thereafter, we examine the sensitivity of the sensor surface across this range of zeta potential to determine the optimal functionalization scheme. The limit of detection (LOD) varied by 2 orders of magnitude across this range, reaching a value of 4.9 × 10

Indexed as

Static ElectricityAntibodies, ImmobilizedB7-H1 AntigenBiosensing TechniquesCell Line, TumorElectrochemical TechniquesErbB ReceptorsExtracellular VesiclesHumansLimit of DetectionProtein Kinase InhibitorsTetraspanin 29Antibodies, ImmobilizedB7-H1 AntigenCD274 protein, humanCD9 protein, humanEGFR protein, humanErbB ReceptorsProtein Kinase InhibitorsTetraspanin 29charge modulationelectrokinetic methodenhanced sensitivityextracellular vesicleslung cancerstreaming currentsurface proteinstreatment monitoring

Identifiers

PMID34473477
PMCPMC8447189
OpenAlexW3197037499

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.