Evidence map›Paper›PMID 41540408›Full record

ArticleJournal of nanobiotechnology2026

High-performance photothermal GA-MoSe

Do Hyeon Kim, Chang Hyeon Ha, Han Been Lee, Sung Min Jeon, Do Kyoung Han, Gi Hun Seong

Abstract read
In one paragraph

Article in Journal of nanobiotechnology, 2026. 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

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

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

6 authors.

Do Hyeon KimDepartment of Bionano Engineering, Center for Bionano Intelligence Education and Research, Hanyang University, Ansan, 426-791, Republic of Korea.
Chang Hyeon HaDepartment of Bionano Engineering, Center for Bionano Intelligence Education and Research, Hanyang University, Ansan, 426-791, Republic of Korea.
Han Been LeeDepartment of Bionano Engineering, Center for Bionano Intelligence Education and Research, Hanyang University, Ansan, 426-791, Republic of Korea.
Sung Min JeonDepartment of Bionano Engineering, Center for Bionano Intelligence Education and Research, Hanyang University, Ansan, 426-791, Republic of Korea.
Do Kyoung HanDivision of Materials Science, Korea Basic Science Institute, Daejeon, 34133, Republic of Korea. knhan3725@kbsi.re.kr.
Gi Hun SeongDepartment of Bionano Engineering, Center for Bionano Intelligence Education and Research, Hanyang University, Ansan, 426-791, Republic of Korea. ghseong@hanyang.ac.kr.

Funding

Korea Basic Science Institute C512310Ministry of SMEs and Startups RS-2023-00278247National Research Foundation of Korea 2018R1A6A1A03024231National Research Foundation of Korea RS-2025-16065551
6 · The paper itself

Abstract

In the aftermath of the global COVID-19 pandemic, there is a critical need to develop rapid and sensitive diagnostic devices for point-of-care testing (POCT). Despite the numerous benefits of paper-based colorimetric lateral flow immunoassays (LFAs) in rapid onsite diagnosis, their sensitivity and quantitative analysis capability are limited. To overcome the limitations of the current assays, we developed a new rapid diagnostic method that utilizes glycyrrhizic acid-molybdenum diselenide (GA-MoSe

Indexed as

C-Reactive ProteinMolybdenumNanostructuresBiosensing TechniquesColorimetryCOVID-19HumansImmunoassayLimit of DetectionPoint-of-Care SystemsPoint-of-Care TestingRapid Diagnostic TestsSARS-CoV-2Selenium CompoundsC-Reactive ProteinMolybdenumSelenium CompoundsLateral flow immunoassayMolybdenum diselenide nanosheetPhotothermal effectPoint-of-care testingTransition metal dichalcogenides

Identifiers

PMID41540408
PMCPMC12892693

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.