Evidence map›Paper›PMID 41727371›Full record

ArticleACS measurement science au2026

A Systematically Enhanced LAMP Chip for Rapid, Sensitive, and Contamination-Free Pathogen Detection.

Sajid Uchayash, Jinping Zhao, Md Iqbal Kabir, Junqi Song, Long Que

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS measurement science au, 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

5 authors.

Sajid UchayashDepartment of Electrical and Computer Engineering, Iowa State University, Ames, Iowa 50011, United States.
Jinping ZhaoTexas A&M AgriLife Research Center at Dallas, Texas A&M University System, Dallas, Texas 75252, United States.
Md Iqbal KabirDepartment of Electrical and Computer Engineering, Iowa State University, Ames, Iowa 50011, United States.
Junqi SongTexas A&M AgriLife Research Center at Dallas, Texas A&M University System, Dallas, Texas 75252, United States.
Long QueDepartment of Electrical and Computer Engineering, Iowa State University, Ames, Iowa 50011, United States.ORCID https://orcid.org/0000-0002-1603-4219

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Main techniques for pathogen detection include molecular or nucleic acid-based methods, such as polymerase chain reaction (PCR) and loop-mediated isothermal amplification (LAMP). Among these, chip-based LAMP provides a particularly promising platform for point-of-care diagnostics. To ensure accurate, reliable, and robust pathogen detection, systematic optimization of the LAMP-chip system is essential. Building on our previously developed LAMP-chip platform, we report a systematically advanced version for the rapid and sensitive detection of

Indexed as

carryover contaminationIsothermal DNA amplificationnanopore thin film sensorpathogen detectionPhytophthora infestansprimer immobilization

Identifiers

PMID41727371
PMCPMC12921607

What OpenQuestion holds

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LicenceCC BY
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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.