Evidence map›Paper›PMID 42187448›Full record

ArticleBiosensors2026

Development of a Sandwich-Type

Hyunjun Park, Seohee Kim, Minyoung Ju, Yunseon Han, Yoseph Seo, Junhong Min, Hyeon-Yeol Cho, Taek Lee

Abstract read
In one paragraph

Article in Biosensors, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Hyunjun ParkDepartment of Chemical Engineering, Kwangwoon University, 20 Gwangwoon-Ro, Nowon-Gu, Seoul 01897, Republic of Korea.
Seohee KimDepartment of Chemical Engineering, Kwangwoon University, 20 Gwangwoon-Ro, Nowon-Gu, Seoul 01897, Republic of Korea.
Minyoung JuDepartment of Chemical Engineering, Kwangwoon University, 20 Gwangwoon-Ro, Nowon-Gu, Seoul 01897, Republic of Korea.
Yunseon HanDepartment of Chemical Engineering, Kwangwoon University, 20 Gwangwoon-Ro, Nowon-Gu, Seoul 01897, Republic of Korea.
Yoseph SeoDepartment of Chemical Engineering, Kwangwoon University, 20 Gwangwoon-Ro, Nowon-Gu, Seoul 01897, Republic of Korea.ORCID 0000-0003-1587-2402
Junhong MinSchool of Integrative Engineering, Chung-Ang University, 84 Heukseok-Ro, Donjak-Gu, Seoul 06974, Republic of Korea.ORCID 0000-0001-9410-8204
Hyeon-Yeol ChoDepartment of Integrative Biotechnology, Kookmin University, 77 Jeongneung-Ro, Seongbuk-Gu, Seoul 02707, Republic of Korea.ORCID 0000-0003-1897-1166
Taek LeeDepartment of Chemical Engineering, Kwangwoon University, 20 Gwangwoon-Ro, Nowon-Gu, Seoul 01897, Republic of Korea.

Funding

National Research Foundation of Korea RS-2024-00416117National Research Foundation of Korea RS-2024-00507931National Research Foundation of Korea RS-2025-24683337
6 · The paper itself

Abstract

Saxitoxin (STX), produced by certain harmful algal bloom (HAB) species, bioaccumulates through the food chain and can cause paralytic toxicity in humans, potentially resulting in fatal outcomes. To date, STX detection has primarily been conducted under laboratory-controlled conditions, and the availability of a gold-standard method for the proactive monitoring and prevention of HAB-induced secondary damage remains limited. Therefore, the present study introduces an electrochemical-based biosensor that is capable of early monitoring of STX in HAB-occurred environments. The conserved region of

Indexed as

Biosensing TechniquesElectrochemical TechniquesEnvironmental MonitoringMicroalgaeSaxitoxinDinoflagellidaHarmful Algal BloomSaxitoxinACEF techniqueelectrochemical biosensorsandwich-typesaxitoxin

Identifiers

PMID42187448
PMCPMC13204600

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.