Evidence map›Paper›PMID 32466570›Full record

ArticleMicromachines2020

A Microfluidic Diagnostic Device Capable of Autonomous Sample Mixing and Dispensing for the Simultaneous Genetic Detection of Multiple Plant Viruses.

Daigo Natsuhara, Keisuke Takishita, Kisuke Tanaka, Azusa Kage, Ryoji Suzuki, Yuko Mizukami, Norikuni Saka, Moeto Nagai, Takayuki Shibata

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 25% of its field
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

10 citing papers in PubMed, 25 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Daigo NatsuharaDepartment of Mechanical Engineering, Toyohashi University of Technology, Toyohashi, Aichi 441-8560, Japan.
Keisuke TakishitaDepartment of Mechanical Engineering, Toyohashi University of Technology, Toyohashi, Aichi 441-8560, Japan.
Kisuke TanakaDepartment of Mechanical Engineering, Toyohashi University of Technology, Toyohashi, Aichi 441-8560, Japan.
Azusa KageDepartment of Mechanical Engineering, Toyohashi University of Technology, Toyohashi, Aichi 441-8560, Japan.
Ryoji SuzukiAgro-Environmental Division, Aichi Agricultural Research Center, Nagakute, Aichi 480-1193, Japan.
Yuko MizukamiAgro-Environmental Division, Aichi Agricultural Research Center, Nagakute, Aichi 480-1193, Japan.
Norikuni SakaAgro-Environmental Division, Aichi Agricultural Research Center, Nagakute, Aichi 480-1193, Japan.
Moeto NagaiDepartment of Mechanical Engineering, Toyohashi University of Technology, Toyohashi, Aichi 441-8560, Japan.ORCID 0000-0002-7852-7772
Takayuki ShibataDepartment of Mechanical Engineering, Toyohashi University of Technology, Toyohashi, Aichi 441-8560, Japan.
Toyohashi University of Technology · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As an efficient approach to risk management in agriculture, the elimination of losses due to plant diseases and insect pests is one of the most important and urgent technological challenges for improving the crop yield. Therefore, we have developed a polydimethylsiloxane (PDMS)-based microfluidic device for the multiplex genetic diagnosis of plant diseases and pests. It offers unique features, such as rapid detection, portability, simplicity, and the low-cost genetic diagnosis of a wide variety of plant viruses. In this study, to realize such a diagnostic device, we developed a method for the autonomous dispensing of fluid into a microchamber array, which was integrated with a set of three passive stop valves with different burst pressures (referred to as phaseguides) to facilitate precise fluid handling. Additionally, we estimated the mixing efficiencies of several types of passive mixers (referred to as chaotic mixers), which were integrated into a microchannel, through experimental and computational analyses. We first demonstrated the ability of the fabricated diagnostic devices to detect DNA-based plant viruses from an infected tomato crop based on the loop-mediated isothermal amplification (LAMP) method. Moreover, we demonstrated the simultaneous detection of RNA-based plant viruses, which can infect cucurbits, by using the reverse transcription LAMP (RT-LAMP) method. The multiplex RT-LAMP assays revealed that multiple RNA viruses extracted from diseased cucumber leaves were successfully detected within 60 min, without any cross-contamination between reaction microchambers, on our diagnostic device.

Indexed as

autonomous sample dispensingloop-mediated isothermal amplification (LAMP)microfluidic devicemicro TASmultiplex genetic diagnosisplant virusesviral infectious diseases

Identifiers

PMID32466570
PMCPMC7344993
OpenAlexW3029374045

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.