Evidence map›Paper›PMID 39455308›Full record

ArticleBiosensors & bioelectronics2025

Capillary flow velocity-based length identification of PCR and RPA products on paper microfluidic chips.

Bailey C Buchanan, Reid S Loeffler, Rongguang Liang, Jeong-Yeol Yoon

Abstract read
In one paragraph

Article in Biosensors & bioelectronics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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  3. 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

4 authors.

Bailey C BuchananDepartment of Biomedical Engineering, The University of Arizona, Tucson, AZ, 85721, United States.
Reid S LoefflerDepartment of Biomedical Engineering, The University of Arizona, Tucson, AZ, 85721, United States.
Rongguang LiangWyant College of Optical Sciences, The University of Arizona, Tucson, AZ, 85721, United States.
Jeong-Yeol YoonDepartment of Biomedical Engineering, The University of Arizona, Tucson, AZ, 85721, United States. Electronic address: jyyoon@arizona.edu.

Funding

Multimodal Intraoral Imaging System for Oral Cancer Detection and Diagnosis in Low Resource SettingR01DE030682 · NIDCR · UNIVERSITY OF ARIZONA · PI LIANG, RONGGUANG · 2021 to 2025
$2.8M
Mobile phone-based deep learning algorithm for oral lesion screening in low-resource settingsR21CA274717 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI CHATURVEDI, PANKAJ, LIANG, RONGGUANG · 2023 to 2024
$352k
NCI NIH HHS R21 CA274717NIDCR NIH HHS R01 DE030682
6 · The paper itself

Abstract

This work demonstrates a novel, non-fluorescence approach to the length identification of polymerase chain reaction (PCR) and recombinase polymerase amplification (RPA) products, utilizing capillary flow velocities on paper microfluidic chips. It required only a blank paper chip, aminated microspheres, and a smartphone, with a rapid assay time and under ambient lighting. A smartphone evaluated the initial capillary flow velocities on the paper chips for the PCR and RPA products from various bacterial samples, where the pre-loaded aminated microspheres differentiated their flow velocities. Flow velocities were analyzed at different time frames and compared with the instantaneous flow velocities and interfacial tension (γ

Indexed as

Biosensing TechniquesPaperPolymerase Chain ReactionDNA, BacterialEquipment DesignHumansLab-On-A-Chip DevicesMicrofluidic Analytical TechniquesNucleic Acid Amplification TechniquesRecombinasesSmartphoneDNA, BacterialRecombinasesCapillary actionMicrospheresPolymerase chain reactionRecombinase polymerase amplificationSmartphone

Identifiers

PMID39455308
PMCPMC11543505

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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.