Evidence map›Paper›PMID 38848141›Full record

ArticleACS sensors2024

Design and Optimization of a Silicon-Based Electrokinetic Microchip for Sensitive Detection of Small Extracellular Vesicles.

Moein Talebian Gevari, Siddharth Sourabh Sahu, Fredrik Stridfeldt, Petra Hååg, Luigi De Petris, Kristina Viktorsson, Rolf Lewensohn, Alessandro Gori, Marina Cretich, Apurba Dev

Abstract read
In one paragraph

Article in ACS sensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Moein Talebian GevariDivision of Solid-State Electronics, Department of Electrical Engineering, Uppsala University, 75 121 Uppsala, Sweden.ORCID 0000-0002-7959-6630
Siddharth Sourabh SahuDepartment of Applied Physics, School of Engineering Sciences, KTH Royal Institute of Technology, 10 691 Stockholm, Sweden.ORCID 0000-0002-2794-9158
Fredrik StridfeldtDepartment of Applied Physics, School of Engineering Sciences, KTH Royal Institute of Technology, 10 691 Stockholm, Sweden.
Petra HåågDepartment of Oncology-Pathology, Karolinska Institutet, 171 64 Solna, Sweden.
Luigi De PetrisDepartment of Oncology-Pathology, Karolinska Institutet, 171 64 Solna, Sweden.
Kristina ViktorssonDepartment of Oncology-Pathology, Karolinska Institutet, 171 64 Solna, Sweden.
Rolf LewensohnDepartment of Oncology-Pathology, Karolinska Institutet, 171 64 Solna, Sweden.
Alessandro GoriConsiglio Nazionale delle Ricerche, Istituto di Scienze e Tecnologie Chimiche "Giulio Natta" (SCITEC), 20131 Milan, Italy.ORCID 0000-0003-1640-7238
Marina CretichConsiglio Nazionale delle Ricerche, Istituto di Scienze e Tecnologie Chimiche "Giulio Natta" (SCITEC), 20131 Milan, Italy.
Apurba DevDivision of Solid-State Electronics, Department of Electrical Engineering, Uppsala University, 75 121 Uppsala, Sweden.ORCID 0000-0002-6235-2891

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detection of analytes using streaming current has previously been explored using both experimental approaches and theoretical analyses of such data. However, further developments are needed for establishing a viable microchip that can be exploited to deliver a sensitive, robust, and scalable biosensor device. In this study, we demonstrated the fabrication of such a device on silicon wafer using a scalable silicon microfabrication technology followed by characterization and optimization of this sensor for detection of small extracellular vesicles (sEVs) with sizes in the range of 30 to 200 nm, as determined by nanoparticle tracking analyses. We showed that the sensitivity of the devices, assessed by a common protein-ligand pair and sEVs, significantly outperforms previous approaches using the same principle. Two versions of the microchips, denoted as enclosed and removable-top microchips, were developed and compared, aiming to discern the importance of high-pressure measurement versus easier and better surface preparation capacity. A custom-built chip manifold allowing easy interfacing with standard microfluidic connections was also constructed. By investigating different electrical, fluidic, morphological, and fluorescence measurements, we show that while the enclosed microchip with its robust glass-silicon bonding can withstand higher pressure and thus generate higher streaming current, the removable-top configuration offers several practical benefits, including easy surface preparation, uniform probe conjugation, and improvement in the limit of detection (LoD). We further compared two common surface functionalization strategies and showed that the developed microchip can achieve both high sensitivity for membrane protein profiling and low LoD for detection of sEV detection. At the optimum working condition, we demonstrated that the microchip could detect sEVs reaching an LoD of 10

Indexed as

Extracellular VesiclesSiliconBiosensing TechniquesEquipment DesignHumansLab-On-A-Chip DevicesLimit of DetectionMicrofluidic Analytical TechniquesSiliconelectrokinetic effectsextracellular vesiclesmicrochip biosensormicrofluidicsstreaming current

Identifiers

PMID38848141
PMCPMC11217933

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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.