Evidence map›Paper›PMID 38920004›Full record

ArticleLab on a chip2024

Development of a self-powered digital LAMP microfluidic chip (SP-dChip) for the detection of emerging viruses.

Tom Kasputis, Po-Chen Yeh, Li Liu, Jeffrey Marano, James Weger-Lucarelli, Ke Du, Liwei Lin, Juhong Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Lab on a chip, 2024. 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. Article
  2. Detection ofApplied and environmental microbiology · 2025
    Article
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.

Tom KasputisDepartment of Biological Systems Engineering, Virginia Tech, Blacksburg, VA, USA.
Po-Chen YehDepartment of Mechanical Engineering, University of California, Berkeley, CA, USA.
Li LiuDepartment of Chemical and Environmental Engineering, University of California, Riverside, CA, USA.
Jeffrey MaranoDepartment of Biomedical Sciences and Pathobiology, Virginia Tech, Blacksburg, VA, USA.
James Weger-LucarelliDepartment of Biomedical Sciences and Pathobiology, Virginia Tech, Blacksburg, VA, USA.
Ke DuDepartment of Chemical and Environmental Engineering, University of California, Riverside, CA, USA.
Liwei LinDepartment of Mechanical Engineering, University of California, Berkeley, CA, USA.
Juhong ChenDepartment of Biological Systems Engineering, Virginia Tech, Blacksburg, VA, USA.ORCID 0000-0002-6484-2739

Funding

Novel Approaches to detect and treat sepsisR35GM147069 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI Juhong Chen · 2022 to 2026
$2.0M
NIGMS NIH HHS R35 GM147069
6 · The paper itself

Abstract

Point-of-care (POC) diagnostics have emerged as a crucial technology for emerging pathogen detections to enable rapid and on-site detection of infectious diseases. However, current POC devices often suffer from limited sensitivity with poor reliability to provide quantitative readouts. In this paper, we present a self-powered digital loop-mediated isothermal amplification (dLAMP) microfluidic chip (SP-dChip) for the rapid and quantitative detection of nucleic acids. The SP-dChip utilizes a vacuum lung design to passively digitize samples into individual nanoliter wells for high-throughput analysis. The superior digitization scheme is further combined with reverse transcription loop-mediated isothermal amplification (RT-LAMP) to demonstrate dLAMP detection of Zika virus (ZIKV). Firstly, the LAMP assay is loaded into the chip and passively digitized into individual wells. Mineral oil is then pipetted through the chip to differentiate each well as an individual reactor. The chip did not require any external pumping or power input for rapid and reliable results to detect ZIKA RNA as low as 100 copies per μL within one hour. As such, this SP-dChip offers a new class of solutions for truly affordable, portable, and quantitative POC detections for emerging viruses.

Indexed as

Lab-On-A-Chip DevicesMicrofluidic Analytical TechniquesNucleic Acid Amplification TechniquesZika VirusEquipment DesignHumansMolecular Diagnostic TechniquesPoint-of-Care SystemsRNA, ViralZika Virus InfectionRNA, Viral

Identifiers

PMID38920004
PMCPMC11272487

What OpenQuestion holds

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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.