Evidence map›Paper›PMID 41302797›Full record

ArticleMicromachines2025

Highly Sensitive Si-Based Electrolyte-Gated Transistor Array for Multiplexed Detection of Arboviruses.

Seonghwan Shin, Jeonghyeon Do, Jongmin Son, Jeong-Soo Lee

Abstract read
In one paragraph

Article in Micromachines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Seonghwan ShinDepartment of Electrical Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea.
Jeonghyeon DoDepartment of Electrical Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea.ORCID 0009-0006-0000-9939
Jongmin SonDepartment of Electrical Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea.ORCID 0009-0002-3019-8698
Jeong-Soo LeeDepartment of Electrical Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea.ORCID 0000-0001-5473-2002

Funding

Korea Institute for Advancement of Technology (KIAT) RS-2024-00401466National Research Foundation of Korea (NRF) RS-2023-00266246
6 · The paper itself

Abstract

Multiplexed detection of arboviruses using a 4 × 4 Si-based electrolyte-gated transistor (EGT) array functionalized with specific aptamers has been investigated. The Si-based EGTs were fabricated using conventional Si microfabrication processes. The EGTs showed excellent intrinsic electrical characteristics, including a low threshold voltage of 0.8 V, a sub-threshold swing of 75 mV/dec, and a gate leakage of <10 pA, ensuring uniform device performance with low device-to-device variation. Aptamers specific to the yellow fever virus nonstructural protein 1 (YF), dengue virus nonstructural protein 1 (DN), and chikungunya virus envelope protein 2 (CHK) were functionalized on EGT arrays to evaluate individual and multiplexed detection. In individual-target detections, concentration-dependent negative shifts in threshold voltage were observed, and relevant limits of detection (LOD) as low as 38.6 pg/mL, 95.2 pg/mL, and 1.6 ng/mL were extracted for YF, DN, and CHK, respectively. In multiplexed detections, sensitivities decreased and variations increased relative to the individual responses, resulting in higher LODs. The extracted LODs were 0.2 ng/mL, 0.6 ng/mL, and 2.8 ng/mL for YF, DN, and CHK, respectively, which are lower than those reported for other methods. These results suggest that Si-based EGT arrays are promising as a scalable, low-cost, and highly sensitive biosensing platform for multiplexed arbovirus detection and point-of-care diagnostics.

Indexed as

aptamer functionalizationarbovirus detectionelectrolyte-gated transistormultiplexed biosensorpoint-of-care diagnostics

Identifiers

PMID41302797
PMCPMC12654188

What OpenQuestion holds

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LicenceCC BY
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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.