Evidence map›Paper›PMID 39948372›Full record

ArticleScientific reports2025

A portable and cost-effective system for electronic nucleic acid mass measurement.

Abbas Panahi, Firouz Abbasian, Giancarlo Ayala-Charca, Hamed Osouli Tabrizi, Ahmad Roshanfar, Morteza Ghafar-Zadeh, Mehdi Movahed, Yasaman Tahernezhad, Sebastian Magierowski, Ebrahim Ghafar-Zadeh

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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. PEI-FeBiosensors · 2025
    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.

Abbas PanahiBiologically Inspired Sensors and Actuators (BioSA) Laboratory, Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, ON, M3J1P3, Canada.
Firouz AbbasianBiologically Inspired Sensors and Actuators (BioSA) Laboratory, Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, ON, M3J1P3, Canada.
Giancarlo Ayala-CharcaBiologically Inspired Sensors and Actuators (BioSA) Laboratory, Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, ON, M3J1P3, Canada.
Hamed Osouli TabriziBiologically Inspired Sensors and Actuators (BioSA) Laboratory, Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, ON, M3J1P3, Canada.
Ahmad RoshanfarBiologically Inspired Sensors and Actuators (BioSA) Laboratory, Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, ON, M3J1P3, Canada.
Morteza Ghafar-ZadehElectronic Machine Intelligence Laboratory, Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, ON, M3J 1P3, Canada.
Mehdi MovahedBiologically Inspired Sensors and Actuators (BioSA) Laboratory, Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, ON, M3J1P3, Canada.
Yasaman TahernezhadBiologically Inspired Sensors and Actuators (BioSA) Laboratory, Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, ON, M3J1P3, Canada.
Sebastian MagierowskiElectronic Machine Intelligence Laboratory, Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, ON, M3J 1P3, Canada.
Ebrahim Ghafar-ZadehBiologically Inspired Sensors and Actuators (BioSA) Laboratory, Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, ON, M3J1P3, Canada. egz@yorku.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents a low-cost, portable sensing platform for rapid DNA mass measurement, addressing a critical need in life science research. The platform features a novel interdigital open-gate junction field-effect transistor (ID-OGJFET) with a large sensing area that converts negatively charged DNA mass into an electrical current. The system enables DNA mass detection in under ten seconds with a resolution of less than 1 µA, demonstrating sensitivity across a range from 0.48 ng to 29.5 ng, achieving a Limit of Detection as low as 1.18-1.25 ng/µL. A custom-designed electronic reader and fluidic sample holder facilitate efficient operation. Simulation studies using molecular dynamics and finite element methods provide further insights into the sensor's DNA detection mechanism. This highly sensitive system is significantly more cost-effective than commercially available semiconductor characterization alternatives. The device's high performance and affordability make it a valuable tool for molecular biology applications, and it holds potential for advancing FET-based sensing instrumentation and measurement research.

Indexed as

Biosensing TechniquesDNACost-Benefit AnalysisEquipment DesignTransistors, ElectronicDNADNA adsorptionDNA Mass measurementDNA storageOpen-gate Junction FET (OG-JFET)

Identifiers

PMID39948372
PMCPMC11825914

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.